SQL language

The page describes the SQL dialect recognized by Calcite’s default SQL parser.

Grammar

SQL grammar in BNF-like form.

statement:
      setStatement
  |   resetStatement
  |   explain
  |   describe
  |   insert
  |   update
  |   merge
  |   delete
  |   query

statementList:
      statement [ ';' statement ]* [ ';' ]

setStatement:
      [ ALTER { SYSTEM | SESSION } ] SET identifier '=' expression

resetStatement:
      [ ALTER { SYSTEM | SESSION } ] RESET identifier
  |   [ ALTER { SYSTEM | SESSION } ] RESET ALL

explain:
      EXPLAIN PLAN
      [ WITH TYPE | WITH IMPLEMENTATION | WITHOUT IMPLEMENTATION ]
      [ EXCLUDING ATTRIBUTES | INCLUDING [ ALL ] ATTRIBUTES ]
      [ AS JSON | AS XML | AS DOT ]
      FOR { query | insert | update | merge | delete }

describe:
      DESCRIBE DATABASE databaseName
  |   DESCRIBE CATALOG [ databaseName . ] catalogName
  |   DESCRIBE SCHEMA [ [ databaseName . ] catalogName ] . schemaName
  |   DESCRIBE [ TABLE ] [ [ [ databaseName . ] catalogName . ] schemaName . ] tableName [ columnName ]
  |   DESCRIBE [ STATEMENT ] { query | insert | update | merge | delete }

insert:
      { INSERT | UPSERT } INTO tablePrimary
      [ '(' column [, column ]* ')' ]
      query

update:
      UPDATE tablePrimary
      SET assign [, assign ]*
      [ WHERE booleanExpression ]

assign:
      identifier '=' expression

merge:
      MERGE INTO tablePrimary [ [ AS ] alias ]
      USING tablePrimary
      ON booleanExpression
      [ WHEN MATCHED THEN UPDATE SET assign [, assign ]* ]
      [ WHEN NOT MATCHED THEN INSERT VALUES '(' value [ , value ]* ')' ]

delete:
      DELETE FROM tablePrimary [ [ AS ] alias ]
      [ WHERE booleanExpression ]

query:
      values
  |   WITH [ RECURSIVE ] withItem [ , withItem ]* query
  |   {
          select
      |   selectWithoutFrom
      |   query UNION [ ALL | DISTINCT ] query
      |   query EXCEPT [ ALL | DISTINCT ] query
      |   query MINUS [ ALL | DISTINCT ] query
      |   query INTERSECT [ ALL | DISTINCT ] query
      }
      [ ORDER BY orderItem [, orderItem ]* ]
      [ LIMIT [ start, ] { count | ALL } ]
      [ OFFSET start { ROW | ROWS } ]
      [ FETCH { FIRST | NEXT } [ count ] { ROW | ROWS } ONLY ]

withItem:
      name
      [ '(' column [, column ]* ')' ]
      AS '(' query ')'

orderItem:
      expression [ ASC | DESC ] [ NULLS FIRST | NULLS LAST ]

select:
      SELECT [ hintComment ] [ STREAM ] [ ALL | DISTINCT ]
          { * | projectItem [, projectItem ]* }
      FROM tableExpression
      [ WHERE booleanExpression ]
      [ GROUP BY [ ALL | DISTINCT ] { groupItem [, groupItem ]* } ]
      [ HAVING booleanExpression ]
      [ WINDOW windowName AS windowSpec [, windowName AS windowSpec ]* ]
      [ QUALIFY booleanExpression ]

selectWithoutFrom:
      SELECT [ ALL | DISTINCT ]
          { * | projectItem [, projectItem ]* }

projectItem:
      expression [ [ AS ] columnAlias ]
  |   tableAlias . *

tableExpression:
      tableReference [, tableReference ]*
  |   tableExpression [ NATURAL ] [ { LEFT | RIGHT | FULL } [ OUTER ] ] [ ASOF ] JOIN tableExpression [ joinCondition ]
  |   tableExpression CROSS JOIN tableExpression
  |   tableExpression [ CROSS | OUTER ] APPLY tableExpression

joinCondition:
      ON booleanExpression
  |   MATCH_CONDITION booleanExpression ON booleanExpression
  |   USING '(' column [, column ]* ')'

tableReference:
      tablePrimary
      [ FOR SYSTEM_TIME AS OF expression ]
      [ pivot ]
      [ unpivot ]
      [ matchRecognize ]
      [ [ AS ] alias [ '(' columnAlias [, columnAlias ]* ')' ] ]

tablePrimary:
      [ [ catalogName . ] schemaName . ] tableName
      '(' TABLE [ [ catalogName . ] schemaName . ] tableName ')'
  |   tablePrimary [ hintComment ] [ EXTEND ] '(' columnDecl [, columnDecl ]* ')'
  |   [ LATERAL ] '(' query ')'
  |   UNNEST '(' expression ')' [ WITH ORDINALITY ]
  |   [ LATERAL ] TABLE '(' [ SPECIFIC ] functionName '(' expression [, expression ]* ')' ')'

columnDecl:
      column type [ NOT NULL ]

hint:
      hintName
  |   hintName '(' hintOptions ')'

hintOptions:
      hintKVOption [, hintKVOption ]*
  |   optionName [, optionName ]*
  |   optionValue [, optionValue ]*

hintKVOption:
      optionName '=' stringLiteral
  |   stringLiteral '=' stringLiteral

optionValue:
      stringLiteral
  |   numericLiteral

columnOrList:
      column
  |   '(' column [, column ]* ')'

exprOrList:
      expr
  |   '(' expr [, expr ]* ')'

pivot:
      PIVOT '('
      pivotAgg [, pivotAgg ]*
      FOR pivotList
      IN '(' pivotExpr [, pivotExpr ]* ')'
      ')'

pivotAgg:
      agg '(' [ ALL | DISTINCT ] value [, value ]* ')'
      [ [ AS ] alias ]

pivotList:
      columnOrList

pivotExpr:
      exprOrList [ [ AS ] alias ]

unpivot:
      UNPIVOT [ INCLUDING NULLS | EXCLUDING NULLS ] '('
      unpivotMeasureList
      FOR unpivotAxisList
      IN '(' unpivotValue [, unpivotValue ]* ')'
      ')'

unpivotMeasureList:
      columnOrList

unpivotAxisList:
      columnOrList

unpivotValue:
      column [ AS literal ]
  |   '(' column [, column ]* ')' [ AS '(' literal [, literal ]* ')' ]

values:
      { VALUES | VALUE } expression [, expression ]*

groupItem:
      expression
  |   '(' ')'
  |   '(' expression [, expression ]* ')'
  |   CUBE '(' expression [, expression ]* ')'
  |   ROLLUP '(' expression [, expression ]* ')'
  |   GROUPING SETS '(' groupItem [, groupItem ]* ')'

window:
      windowName
  |   windowSpec

windowSpec:
      '('
      [ windowName ]
      [ ORDER BY orderItem [, orderItem ]* ]
      [ PARTITION BY expression [, expression ]* ]
      [
          RANGE numericOrIntervalExpression { PRECEDING | FOLLOWING [exclude]}
      |   ROWS numericExpression { PRECEDING | FOLLOWING [exclude] }
      ]
      ')'

exclude:
      EXCLUDE NO OTHERS
  |   EXCLUDE CURRENT ROW
  |   EXCLUDE GROUP
  |   EXCLUDE TIES

In insert, if the INSERT or UPSERT statement does not specify a list of target columns, the query must have the same number of columns as the target table, except in certain conformance levels.

In merge, at least one of the WHEN MATCHED and WHEN NOT MATCHED clauses must be present.

tablePrimary may only contain an EXTEND clause in certain conformance levels; in those same conformance levels, any column in insert may be replaced by columnDecl, which has a similar effect to including it in an EXTEND clause.

In orderItem, if expression is a positive integer n, it denotes the nth item in the SELECT clause.

In query, count and start may each be either an unsigned integer literal or a dynamic parameter whose value is an integer.

An aggregate query is a query that contains a GROUP BY or a HAVING clause, or aggregate functions in the SELECT clause. In the SELECT, HAVING and ORDER BY clauses of an aggregate query, all expressions must be constant within the current group (that is, grouping constants as defined by the GROUP BY clause, or constants), or aggregate functions, or a combination of constants and aggregate functions. Aggregate and grouping functions may only appear in an aggregate query, and only in a SELECT, HAVING or ORDER BY clause.

A scalar sub-query is a sub-query used as an expression. If the sub-query returns no rows, the value is NULL; if it returns more than one row, it is an error.

IN, EXISTS, UNIQUE and scalar sub-queries can occur in any place where an expression can occur (such as the SELECT clause, WHERE clause, ON clause of a JOIN, or as an argument to an aggregate function).

An IN, EXISTS, UNIQUE or scalar sub-query may be correlated; that is, it may refer to tables in the FROM clause of an enclosing query.

GROUP BY DISTINCT removes duplicate grouping sets (for example, “GROUP BY DISTINCT GROUPING SETS ((a), (a, b), (a))” is equivalent to “GROUP BY GROUPING SETS ((a), (a, b))”); GROUP BY ALL is equivalent to GROUP BY.

selectWithoutFrom is equivalent to VALUES, but is not standard SQL and is only allowed in certain conformance levels.

MINUS is equivalent to EXCEPT, but is not standard SQL and is only allowed in certain conformance levels.

CROSS APPLY and OUTER APPLY are only allowed in certain conformance levels.

“LIMIT start, count” is equivalent to “LIMIT count OFFSET start” but is only allowed in certain conformance levels.

“OFFSET start” may occur before “LIMIT count” in certain conformance levels.

VALUE is equivalent to VALUES, but is not standard SQL and is only allowed in certain conformance levels.

An “ASOF JOIN” operation combines rows from two tables based on comparable timestamp values. For each row in the left table, the join finds at most a single row in the right table that has the “closest” timestamp value. The matched row on the right side is the closest match whose timestamp column is compared using one of the operations <, ≤, >, or ≥, as specified by the comparison operator in the MATCH_CONDITION clause. The comparison is performed using SQL semantics, which returns ‘false’ when comparing NULL values with any other values. Thus a ‘NULL’ timestamp in the left table will not match any timestamps in the right table.

ASOF JOIN statements can also be LEFT ASOF JOIN. In this case, when there is no match for a row in the left table, the columns from the right table are null-padded.

There are no RIGHT ASOF joins.

SELECT * FROM left_table [ LEFT ] ASOF JOIN right_table MATCH_CONDITION ( left_table.timecol &leq; right_table.timecol ) ON left_table.col = right_table.col

Keywords

The following is a list of SQL keywords. Reserved keywords are bold.

A, ABS, ABSENT, ABSOLUTE, ACTION, ADA, ADD, ADMIN, AFTER, ALL, ALLOCATE, ALLOW, ALTER, ALWAYS, AND, ANY, APPLY, ARE, ARRAY, ARRAY_AGG, ARRAY_CONCAT_AGG, ARRAY_MAX_CARDINALITY, AS, ASC, ASENSITIVE, ASOF, ASSERTION, ASSIGNMENT, ASYMMETRIC, AT, ATOMIC, ATTRIBUTE, ATTRIBUTES, AUTHORIZATION, AVG, BEFORE, BEGIN, BEGIN_FRAME, BEGIN_PARTITION, BERNOULLI, BETWEEN, BIGINT, BINARY, BIT, BLOB, BOOLEAN, BOTH, BREADTH, BY, C, CALL, CALLED, CARDINALITY, CASCADE, CASCADED, CASE, CAST, CATALOG, CATALOG_NAME, CEIL, CEILING, CENTURY, CHAIN, CHAR, CHARACTER, CHARACTERISTICS, CHARACTERS, CHARACTER_LENGTH, CHARACTER_SET_CATALOG, CHARACTER_SET_NAME, CHARACTER_SET_SCHEMA, CHAR_LENGTH, CHECK, CLASSIFIER, CLASS_ORIGIN, CLOB, CLOSE, COALESCE, COBOL, COLLATE, COLLATION, COLLATION_CATALOG, COLLATION_NAME, COLLATION_SCHEMA, COLLECT, COLUMN, COLUMN_NAME, COMMAND_FUNCTION, COMMAND_FUNCTION_CODE, COMMIT, COMMITTED, CONDITION, CONDITIONAL, CONDITION_NUMBER, CONNECT, CONNECTION, CONNECTION_NAME, CONSTRAINT, CONSTRAINTS, CONSTRAINT_CATALOG, CONSTRAINT_NAME, CONSTRAINT_SCHEMA, CONSTRUCTOR, CONTAINS, CONTAINS_SUBSTR, CONTINUE, CONVERT, CORR, CORRESPONDING, COUNT, COVAR_POP, COVAR_SAMP, CREATE, CROSS, CUBE, CUME_DIST, CURRENT, CURRENT_CATALOG, CURRENT_DATE, CURRENT_DEFAULT_TRANSFORM_GROUP, CURRENT_PATH, CURRENT_ROLE, CURRENT_ROW, CURRENT_SCHEMA, CURRENT_TIME, CURRENT_TIMESTAMP, CURRENT_TRANSFORM_GROUP_FOR_TYPE, CURRENT_USER, CURSOR, CURSOR_NAME, CYCLE, DATA, DATABASE, DATE, DATETIME, DATETIME_DIFF, DATETIME_INTERVAL_CODE, DATETIME_INTERVAL_PRECISION, DATETIME_TRUNC, DATE_DIFF, DATE_TRUNC, DAY, DAYOFWEEK, DAYOFYEAR, DAYS, DEALLOCATE, DEC, DECADE, DECIMAL, DECLARE, DEFAULT, DEFAULTS, DEFERRABLE, DEFERRED, DEFINE, DEFINED, DEFINER, DEGREE, DELETE, DENSE_RANK, DEPTH, DEREF, DERIVED, DESC, DESCRIBE, DESCRIPTION, DESCRIPTOR, DETERMINISTIC, DIAGNOSTICS, DISALLOW, DISCONNECT, DISPATCH, DISTINCT, DOMAIN, DOT, DOUBLE, DOW, DOY, DROP, DYNAMIC, DYNAMIC_FUNCTION, DYNAMIC_FUNCTION_CODE, EACH, ELEMENT, ELSE, EMPTY, ENCODING, END, END-EXEC, END_FRAME, END_PARTITION, EPOCH, EQUALS, ERROR, ESCAPE, EVERY, EXCEPT, EXCEPTION, EXCLUDE, EXCLUDING, EXEC, EXECUTE, EXISTS, EXP, EXPLAIN, EXTEND, EXTERNAL, EXTRACT, FALSE, FETCH, FILTER, FINAL, FIRST, FIRST_VALUE, FLOAT, FLOOR, FOLLOWING, FOR, FOREIGN, FORMAT, FORTRAN, FOUND, FRAC_SECOND, FRAME_ROW, FREE, FRIDAY, FROM, FULL, FUNCTION, FUSION, G, GENERAL, GENERATED, GEOMETRY, GET, GLOBAL, GO, GOTO, GRANT, GRANTED, GROUP, GROUPING, GROUPS, GROUP_CONCAT, HAVING, HIERARCHY, HOLD, HOP, HOUR, HOURS, IDENTITY, IGNORE, ILIKE, IMMEDIATE, IMMEDIATELY, IMPLEMENTATION, IMPORT, IN, INCLUDE, INCLUDING, INCREMENT, INDICATOR, INITIAL, INITIALLY, INNER, INOUT, INPUT, INSENSITIVE, INSERT, INSTANCE, INSTANTIABLE, INT, INTEGER, INTERSECT, INTERSECTION, INTERVAL, INTO, INVOKER, IS, ISODOW, ISOLATION, ISOYEAR, JAVA, JOIN, JSON, JSON_ARRAY, JSON_ARRAYAGG, JSON_EXISTS, JSON_OBJECT, JSON_OBJECTAGG, JSON_QUERY, JSON_SCOPE, JSON_VALUE, K, KEY, KEY_MEMBER, KEY_TYPE, LABEL, LAG, LANGUAGE, LARGE, LAST, LAST_VALUE, LATERAL, LEAD, LEADING, LEFT, LENGTH, LEVEL, LIBRARY, LIKE, LIKE_REGEX, LIMIT, LN, LOCAL, LOCALTIME, LOCALTIMESTAMP, LOCATOR, LOWER, M, MAP, MATCH, MATCHED, MATCHES, MATCH_CONDITION, MATCH_NUMBER, MATCH_RECOGNIZE, MAX, MAXVALUE, MEASURE, MEASURES, MEMBER, MERGE, MESSAGE_LENGTH, MESSAGE_OCTET_LENGTH, MESSAGE_TEXT, METHOD, MICROSECOND, MILLENNIUM, MILLISECOND, MIN, MINUS, MINUTE, MINUTES, MINVALUE, MOD, MODIFIES, MODULE, MONDAY, MONTH, MONTHS, MORE, MULTISET, MUMPS, NAME, NAMES, NANOSECOND, NATIONAL, NATURAL, NCHAR, NCLOB, NESTING, NEW, NEXT, NO, NONE, NORMALIZE, NORMALIZED, NOT, NTH_VALUE, NTILE, NULL, NULLABLE, NULLIF, NULLS, NUMBER, NUMERIC, OBJECT, OCCURRENCES_REGEX, OCTETS, OCTET_LENGTH, OF, OFFSET, OLD, OMIT, ON, ONE, ONLY, OPEN, OPTION, OPTIONS, OR, ORDER, ORDERING, ORDINAL, ORDINALITY, OTHERS, OUT, OUTER, OUTPUT, OVER, OVERLAPS, OVERLAY, OVERRIDING, PAD, PARAMETER, PARAMETER_MODE, PARAMETER_NAME, PARAMETER_ORDINAL_POSITION, PARAMETER_SPECIFIC_CATALOG, PARAMETER_SPECIFIC_NAME, PARAMETER_SPECIFIC_SCHEMA, PARTIAL, PARTITION, PASCAL, PASSING, PASSTHROUGH, PAST, PATH, PATTERN, PER, PERCENT, PERCENTILE_CONT, PERCENTILE_DISC, PERCENT_RANK, PERIOD, PERMUTE, PIVOT, PLACING, PLAN, PLI, PORTION, POSITION, POSITION_REGEX, POWER, PRECEDES, PRECEDING, PRECISION, PREPARE, PRESERVE, PREV, PRIMARY, PRIOR, PRIVILEGES, PROCEDURE, PUBLIC, QUALIFY, QUARTER, QUARTERS, RANGE, RANK, READ, READS, REAL, RECURSIVE, REF, REFERENCES, REFERENCING, REGR_AVGX, REGR_AVGY, REGR_COUNT, REGR_INTERCEPT, REGR_R2, REGR_SLOPE, REGR_SXX, REGR_SXY, REGR_SYY, RELATIVE, RELEASE, REPEATABLE, REPLACE, RESET, RESPECT, RESTART, RESTRICT, RESULT, RETURN, RETURNED_CARDINALITY, RETURNED_LENGTH, RETURNED_OCTET_LENGTH, RETURNED_SQLSTATE, RETURNING, RETURNS, REVOKE, RIGHT, RLIKE, ROLE, ROLLBACK, ROLLUP, ROUTINE, ROUTINE_CATALOG, ROUTINE_NAME, ROUTINE_SCHEMA, ROW, ROWS, ROW_COUNT, ROW_NUMBER, RUNNING, SAFE_CAST, SAFE_OFFSET, SAFE_ORDINAL, SATURDAY, SAVEPOINT, SCALAR, SCALE, SCHEMA, SCHEMA_NAME, SCOPE, SCOPE_CATALOGS, SCOPE_NAME, SCOPE_SCHEMA, SCROLL, SEARCH, SECOND, SECONDS, SECTION, SECURITY, SEEK, SELECT, SELF, SENSITIVE, SEPARATOR, SEQUENCE, SERIALIZABLE, SERVER, SERVER_NAME, SESSION, SESSION_USER, SET, SETS, SHOW, SIMILAR, SIMPLE, SIZE, SKIP, SMALLINT, SOME, SOURCE, SPACE, SPECIFIC, SPECIFICTYPE, SPECIFIC_NAME, SQL, SQLEXCEPTION, SQLSTATE, SQLWARNING, SQL_BIGINT, SQL_BINARY, SQL_BIT, SQL_BLOB, SQL_BOOLEAN, SQL_CHAR, SQL_CLOB, SQL_DATE, SQL_DECIMAL, SQL_DOUBLE, SQL_FLOAT, SQL_INTEGER, SQL_INTERVAL_DAY, SQL_INTERVAL_DAY_TO_HOUR, SQL_INTERVAL_DAY_TO_MINUTE, SQL_INTERVAL_DAY_TO_SECOND, SQL_INTERVAL_HOUR, SQL_INTERVAL_HOUR_TO_MINUTE, SQL_INTERVAL_HOUR_TO_SECOND, SQL_INTERVAL_MINUTE, SQL_INTERVAL_MINUTE_TO_SECOND, SQL_INTERVAL_MONTH, SQL_INTERVAL_SECOND, SQL_INTERVAL_YEAR, SQL_INTERVAL_YEAR_TO_MONTH, SQL_LONGVARBINARY, SQL_LONGVARCHAR, SQL_LONGVARNCHAR, SQL_NCHAR, SQL_NCLOB, SQL_NUMERIC, SQL_NVARCHAR, SQL_REAL, SQL_SMALLINT, SQL_TIME, SQL_TIMESTAMP, SQL_TINYINT, SQL_TSI_DAY, SQL_TSI_FRAC_SECOND, SQL_TSI_HOUR, SQL_TSI_MICROSECOND, SQL_TSI_MINUTE, SQL_TSI_MONTH, SQL_TSI_QUARTER, SQL_TSI_SECOND, SQL_TSI_WEEK, SQL_TSI_YEAR, SQL_VARBINARY, SQL_VARCHAR, SQRT, START, STATE, STATEMENT, STATIC, STDDEV_POP, STDDEV_SAMP, STREAM, STRING_AGG, STRUCTURE, STYLE, SUBCLASS_ORIGIN, SUBMULTISET, SUBSET, SUBSTITUTE, SUBSTRING, SUBSTRING_REGEX, SUCCEEDS, SUM, SUNDAY, SYMMETRIC, SYSTEM, SYSTEM_TIME, SYSTEM_USER, TABLE, TABLESAMPLE, TABLE_NAME, TEMPORARY, THEN, THURSDAY, TIES, TIME, TIMESTAMP, TIMESTAMPADD, TIMESTAMPDIFF, TIMESTAMP_DIFF, TIMESTAMP_TRUNC, TIMEZONE_HOUR, TIMEZONE_MINUTE, TIME_DIFF, TIME_TRUNC, TINYINT, TO, TOP_LEVEL_COUNT, TRAILING, TRANSACTION, TRANSACTIONS_ACTIVE, TRANSACTIONS_COMMITTED, TRANSACTIONS_ROLLED_BACK, TRANSFORM, TRANSFORMS, TRANSLATE, TRANSLATE_REGEX, TRANSLATION, TREAT, TRIGGER, TRIGGER_CATALOG, TRIGGER_NAME, TRIGGER_SCHEMA, TRIM, TRIM_ARRAY, TRUE, TRUNCATE, TRY_CAST, TUESDAY, TUMBLE, TYPE, UESCAPE, UNBOUNDED, UNCOMMITTED, UNCONDITIONAL, UNDER, UNION, UNIQUE, UNKNOWN, UNNAMED, UNNEST, UNPIVOT, UPDATE, UPPER, UPSERT, USAGE, USER, USER_DEFINED_TYPE_CATALOG, USER_DEFINED_TYPE_CODE, USER_DEFINED_TYPE_NAME, USER_DEFINED_TYPE_SCHEMA, USING, UTF16, UTF32, UTF8, VALUE, VALUES, VALUE_OF, VARBINARY, VARCHAR, VARYING, VAR_POP, VAR_SAMP, VERSION, VERSIONING, VIEW, WEDNESDAY, WEEK, WEEKS, WHEN, WHENEVER, WHERE, WIDTH_BUCKET, WINDOW, WITH, WITHIN, WITHOUT, WORK, WRAPPER, WRITE, XML, YEAR, YEARS, ZONE.

Identifiers

Identifiers are the names of tables, columns and other metadata elements used in a SQL query.

Unquoted identifiers, such as emp, must start with a letter and can only contain letters, digits, and underscores. They are implicitly converted to upper case.

Quoted identifiers, such as "Employee Name", start and end with double quotes. They may contain virtually any character, including spaces and other punctuation. If you wish to include a double quote in an identifier, use another double quote to escape it, like this: "An employee called ""Fred"".".

In Calcite, matching identifiers to the name of the referenced object is case-sensitive. But remember that unquoted identifiers are implicitly converted to upper case before matching, and if the object it refers to was created using an unquoted identifier for its name, then its name will have been converted to upper case also.

Data types

Scalar types

Data type	Description	Range and example literals
BOOLEAN	Logical values	Values: TRUE, FALSE, UNKNOWN
TINYINT	1 byte signed integer	Range is -128 to 127
SMALLINT	2 byte signed integer	Range is -32768 to 32767
INTEGER, INT	4 byte signed integer	Range is -2147483648 to 2147483647
BIGINT	8 byte signed integer	Range is -9223372036854775808 to 9223372036854775807
DECIMAL(p, s)	Fixed point	Example: 123.45 and DECIMAL ‘123.45’ are identical values, and have type DECIMAL(5, 2)
NUMERIC(p, s)	Fixed point	A synonym for DECIMAL
REAL	4 byte floating point	6 decimal digits precision; examples: CAST(1.2 AS REAL), CAST(‘Infinity’ AS REAL)
DOUBLE	8 byte floating point	15 decimal digits precision; examples: 1.4E2, CAST(‘-Infinity’ AS DOUBLE), CAST(‘NaN’ AS DOUBLE)
FLOAT	8 byte floating point	A synonym for DOUBLE
CHAR(n), CHARACTER(n)	Fixed-width character string	‘Hello’, ‘’ (empty string), _latin1’Hello’, n’Hello’, _UTF16’Hello’, ‘Hello’ ‘there’ (literal split into multiple parts), e’Hello\nthere’ (literal containing C-style escapes)
VARCHAR(n), CHARACTER VARYING(n)	Variable-length character string	As CHAR(n)
BINARY(n)	Fixed-width binary string	x’45F0AB’, x’’ (empty binary string), x’AB’ ‘CD’ (multi-part binary string literal)
VARBINARY(n), BINARY VARYING(n)	Variable-length binary string	As BINARY(n)
DATE	Date	Example: DATE ‘1969-07-20’
TIME	Time of day	Example: TIME ‘20:17:40’
TIME WITH LOCAL TIME ZONE	Time of day with local time zone	Example: TIME WITH LOCAL TIME ZONE ‘20:17:40’
TIME WITH TIME ZONE	Time of day with time zone	Example: TIME ‘20:17:40 GMT+08’
TIMESTAMP [ WITHOUT TIME ZONE ]	Date and time	Example: TIMESTAMP ‘1969-07-20 20:17:40’
TIMESTAMP WITH LOCAL TIME ZONE	Date and time with local time zone	Example: TIMESTAMP WITH LOCAL TIME ZONE ‘1969-07-20 20:17:40’
TIMESTAMP WITH TIME ZONE	Date and time with time zone	Example: TIMESTAMP WITH TIME ZONE ‘1969-07-20 20:17:40 America/Los Angeles’
INTERVAL timeUnit [ TO timeUnit ]	Date time interval	Examples: INTERVAL ‘1-5’ YEAR TO MONTH, INTERVAL ‘45’ DAY, INTERVAL ‘1 2:34:56.789’ DAY TO SECOND
GEOMETRY	Geometry	Examples: ST_GeomFromText(‘POINT (30 10)’)

Where:

timeUnit:
  MILLENNIUM | CENTURY | DECADE | YEAR | QUARTER | MONTH | WEEK | DOY | DOW | DAY | HOUR | MINUTE | SECOND | EPOCH

Note:

• DATE, TIME and TIMESTAMP have no time zone. For those types, there is not even an implicit time zone, such as UTC (as in Java) or the local time zone. It is left to the user or application to supply a time zone. In turn, TIMESTAMP WITH LOCAL TIME ZONE does not store the time zone internally, but it will rely on the supplied time zone to provide correct semantics.
• GEOMETRY is allowed only in certain conformance levels.
• Interval literals may only use time units YEAR, QUARTER, MONTH, WEEK, DAY, HOUR, MINUTE and SECOND. In certain conformance levels, we also allow their plurals, YEARS, QUARTERS, MONTHS, WEEKS, DAYS, HOURS, MINUTES and SECONDS.

Non-scalar types

Type	Description	Example type
ANY	The union of all types
UNKNOWN	A value of an unknown type; used as a placeholder
ROW	Row with 1 or more columns	Example: row(f0 int null, f1 varchar)
MAP	Collection of keys mapped to values	Example: map < int, varchar >
MULTISET	Unordered collection that may contain duplicates	Example: int multiset
ARRAY	Ordered, contiguous collection that may contain duplicates	Example: varchar(10) array
CURSOR	Cursor over the result of executing a query
FUNCTION	A function definition that is not bound to an identifier, it is not fully supported in CAST or DDL	Example FUNCTION(INTEGER, VARCHAR(30)) -> INTEGER

Note:

• Every ROW column type can have an optional [ NULL | NOT NULL ] suffix to indicate if this column type is nullable, default is not nullable.

Spatial types

Spatial data is represented as character strings encoded as well-known text (WKT) or binary strings encoded as well-known binary (WKB).

Where you would use a literal, apply the ST_GeomFromText function, for example ST_GeomFromText('POINT (30 10)').

Data type	Type code	Examples in WKT
GEOMETRY	0	generalization of Point, Curve, Surface, GEOMETRYCOLLECTION
POINT	1	ST_GeomFromText(​'POINT (30 10)') is a point in 2D space; ST_GeomFromText(​'POINT Z(30 10 2)') is point in 3D space
CURVE	13	generalization of LINESTRING
LINESTRING	2	ST_GeomFromText(​'LINESTRING (30 10, 10 30, 40 40)')
SURFACE	14	generalization of Polygon, PolyhedralSurface
POLYGON	3	ST_GeomFromText(​'POLYGON ((30 10, 40 40, 20 40, 10 20, 30 10))') is a pentagon; ST_GeomFromText(​'POLYGON ((35 10, 45 45, 15 40, 10 20, 35 10), (20 30, 35 35, 30 20, 20 30))') is a pentagon with a quadrilateral hole
POLYHEDRALSURFACE	15
GEOMETRYCOLLECTION	7	a collection of zero or more GEOMETRY instances; a generalization of MULTIPOINT, MULTILINESTRING, MULTIPOLYGON
MULTIPOINT	4	ST_GeomFromText(​'MULTIPOINT ((10 40), (40 30), (20 20), (30 10))') is equivalent to ST_GeomFromText(​'MULTIPOINT (10 40, 40 30, 20 20, 30 10)')
MULTICURVE	-	generalization of MULTILINESTRING
MULTILINESTRING	5	ST_GeomFromText(​'MULTILINESTRING ((10 10, 20 20, 10 40), (40 40, 30 30, 40 20, 30 10))')
MULTISURFACE	-	generalization of MULTIPOLYGON
MULTIPOLYGON	6	ST_GeomFromText(​'MULTIPOLYGON (((30 20, 45 40, 10 40, 30 20)), ((15 5, 40 10, 10 20, 5 10, 15 5)))')

Operators and functions

Operator precedence

The operator precedence and associativity, highest to lowest.

Operator	Associativity
.	left
::	left
[ ] (collection element)	left
+ - (unary plus, minus)	right
* / % ||	left
+ -	left
BETWEEN, IN, LIKE, SIMILAR, OVERLAPS, CONTAINS etc.	-
< > = <= >= <> != <=>	left
IS NULL, IS FALSE, IS NOT TRUE etc.	-
NOT	right
AND	left
OR	left

Note that ::,<=> is dialect-specific, but is shown in this table for completeness.

Comparison operators

Operator syntax	Description
value1 = value2	Equals
value1 <> value2	Not equal
value1 != value2	Not equal (only in certain conformance levels)
value1 > value2	Greater than
value1 >= value2	Greater than or equal
value1 < value2	Less than
value1 <= value2	Less than or equal
value1 <=> value2	Whether two values are equal, treating null values as the same
value IS NULL	Whether value is null
value IS NOT NULL	Whether value is not null
value1 IS DISTINCT FROM value2	Whether two values are not equal, treating null values as the same
value1 IS NOT DISTINCT FROM value2	Whether two values are equal, treating null values as the same
value1 BETWEEN value2 AND value3	Whether value1 is greater than or equal to value2 and less than or equal to value3
value1 NOT BETWEEN value2 AND value3	Whether value1 is less than value2 or greater than value3
string1 LIKE string2 [ ESCAPE string3 ]	Whether string1 matches pattern string2
string1 NOT LIKE string2 [ ESCAPE string3 ]	Whether string1 does not match pattern string2
string1 SIMILAR TO string2 [ ESCAPE string3 ]	Whether string1 matches regular expression string2
string1 NOT SIMILAR TO string2 [ ESCAPE string3 ]	Whether string1 does not match regular expression string2
value IN (value [, value ]*)	Whether value is equal to a value in a list
value NOT IN (value [, value ]*)	Whether value is not equal to every value in a list
value IN (sub-query)	Whether value is equal to a row returned by sub-query
value NOT IN (sub-query)	Whether value is not equal to every row returned by sub-query
value comparison SOME (sub-query or collection)	Whether value comparison at least one row returned by sub-query or collection
value comparison ANY (sub-query or collection)	Synonym for SOME
value comparison ALL (sub-query or collection)	Whether value comparison every row returned by sub-query or collection
EXISTS (sub-query)	Whether sub-query returns at least one row
UNIQUE (sub-query)	Whether the rows returned by sub-query are unique (ignoring null values)

comp:
      =
  |   <>
  |   >
  |   >=
  |   <
  |   <=
  |   <=>

Logical operators

Operator syntax	Description
boolean1 OR boolean2	Whether boolean1 is TRUE or boolean2 is TRUE
boolean1 AND boolean2	Whether boolean1 and boolean2 are both TRUE
NOT boolean	Whether boolean is not TRUE; returns UNKNOWN if boolean is UNKNOWN
boolean IS FALSE	Whether boolean is FALSE; returns FALSE if boolean is UNKNOWN
boolean IS NOT FALSE	Whether boolean is not FALSE; returns TRUE if boolean is UNKNOWN
boolean IS TRUE	Whether boolean is TRUE; returns FALSE if boolean is UNKNOWN
boolean IS NOT TRUE	Whether boolean is not TRUE; returns TRUE if boolean is UNKNOWN
boolean IS UNKNOWN	Whether boolean is UNKNOWN
boolean IS NOT UNKNOWN	Whether boolean is not UNKNOWN

Arithmetic operators and functions

Operator syntax	Description
+ numeric	Returns numeric
- numeric	Returns negative numeric
numeric1 + numeric2	Returns numeric1 plus numeric2
numeric1 - numeric2	Returns numeric1 minus numeric2
numeric1 * numeric2	Returns numeric1 multiplied by numeric2
numeric1 / numeric2	Returns numeric1 divided by numeric2
numeric1 % numeric2	As MOD(numeric1, numeric2) (only in certain conformance levels)
POWER(numeric1, numeric2)	Returns numeric1 raised to the power of numeric2
ABS(numeric)	Returns the absolute value of numeric
MOD(numeric1, numeric2)	Returns the remainder (modulus) of numeric1 divided by numeric2. The result is negative only if numeric1 is negative
SQRT(numeric)	Returns the square root of numeric
LN(numeric)	Returns the natural logarithm (base e) of numeric
LOG10(numeric)	Returns the base 10 logarithm of numeric
EXP(numeric)	Returns e raised to the power of numeric
CEIL(numeric)	Rounds numeric up, returning the smallest integer that is greater than or equal to numeric
FLOOR(numeric)	Rounds numeric down, returning the largest integer that is less than or equal to numeric
RAND([seed])	Generates a random double between 0 and 1 inclusive, optionally initializing the random number generator with seed
RAND_INTEGER([seed, ] numeric)	Generates a random integer between 0 and numeric - 1 inclusive, optionally initializing the random number generator with seed
ACOS(numeric)	Returns the arc cosine of numeric
ASIN(numeric)	Returns the arc sine of numeric
ATAN(numeric)	Returns the arc tangent of numeric
ATAN2(numeric, numeric)	Returns the arc tangent of the numeric coordinates
CBRT(numeric)	Returns the cube root of numeric
COS(numeric)	Returns the cosine of numeric
COT(numeric)	Returns the cotangent of numeric
DEGREES(numeric)	Converts numeric from radians to degrees
PI()	Returns a value that is closer than any other value to pi
RADIANS(numeric)	Converts numeric from degrees to radians
ROUND(numeric1 [, integer2])	Rounds numeric1 to optionally integer2 (if not specified 0) places right to the decimal point
SIGN(numeric)	Returns the signum of numeric
SIN(numeric)	Returns the sine of numeric
TAN(numeric)	Returns the tangent of numeric
TRUNCATE(numeric1 [, integer2])	Truncates numeric1 to optionally integer2 (if not specified 0) places right to the decimal point

Character string operators and functions

Operator syntax	Description
string || string	Concatenates two character strings
CHAR_LENGTH(string)	Returns the number of characters in a character string
CHARACTER_LENGTH(string)	As CHAR_LENGTH(string)
UPPER(string)	Returns a character string converted to upper case
LOWER(string)	Returns a character string converted to lower case
POSITION(substring IN string)	Returns the position of the first occurrence of substring in string
POSITION(substring IN string FROM integer)	Returns the position of the first occurrence of substring in string starting at a given point (not standard SQL)
TRIM( { BOTH | LEADING | TRAILING } string1 FROM string2)	Removes the longest string containing only the characters in string1 from the start/end/both ends of string2
OVERLAY(string1 PLACING string2 FROM integer [ FOR integer2 ])	Replaces a substring of string1 with string2, starting at the specified position integer in string1 and optionally for a specified length integer2
SUBSTRING(string FROM integer)	Returns a substring of a character string starting at a given point. If starting point is less than 1, the returned expression will begin at the first character that is specified in expression
SUBSTRING(string FROM integer FOR integer)	Returns a substring of a character string starting at a given point with a given length. If start point is less than 1 in this case, the number of characters that are returned is the largest value of either the start + length - 1 or 0
INITCAP(string)	Returns string with the first letter of each word converter to upper case and the rest to lower case. Words are sequences of alphanumeric characters separated by non-alphanumeric characters.

Not implemented:

• SUBSTRING(string FROM regexp FOR regexp)

Binary string operators and functions

Operator syntax	Description
binary || binary	Concatenates two binary strings
OCTET_LENGTH(binary)	Returns the number of bytes in binary
POSITION(binary1 IN binary2)	Returns the position of the first occurrence of binary1 in binary2
POSITION(binary1 IN binary2 FROM integer)	Returns the position of the first occurrence of binary1 in binary2 starting at a given point (not standard SQL)
OVERLAY(binary1 PLACING binary2 FROM integer [ FOR integer2 ])	Replaces a substring of binary1 with binary2, starting at the specified position integer in binary1 and optionally for a specified length integer2
SUBSTRING(binary FROM integer)	Returns a substring of binary starting at a given point
SUBSTRING(binary FROM integer FOR integer)	Returns a substring of binary starting at a given point with a given length

Date/time functions

Operator syntax	Description
LOCALTIME	Returns the current date and time in the session time zone in a value of datatype TIME
LOCALTIME(precision)	Returns the current date and time in the session time zone in a value of datatype TIME, with precision digits of precision
LOCALTIMESTAMP	Returns the current date and time in the session time zone in a value of datatype TIMESTAMP
LOCALTIMESTAMP(precision)	Returns the current date and time in the session time zone in a value of datatype TIMESTAMP, with precision digits of precision
CURRENT_TIME	Returns the current time in the session time zone, in a value of datatype TIMESTAMP WITH TIME ZONE
CURRENT_DATE	Returns the current date in the session time zone, in a value of datatype DATE
CURRENT_TIMESTAMP	Returns the current date and time in the session time zone, in a value of datatype TIMESTAMP WITH TIME ZONE
EXTRACT(timeUnit FROM datetime)	Extracts and returns the value of a specified datetime field from a datetime value expression
FLOOR(datetime TO timeUnit)	Rounds datetime down to timeUnit
CEIL(datetime TO timeUnit)	Rounds datetime up to timeUnit
YEAR(date)	Equivalent to EXTRACT(YEAR FROM date). Returns an integer.
QUARTER(date)	Equivalent to EXTRACT(QUARTER FROM date). Returns an integer between 1 and 4.
MONTH(date)	Equivalent to EXTRACT(MONTH FROM date). Returns an integer between 1 and 12.
WEEK(date)	Equivalent to EXTRACT(WEEK FROM date). Returns an integer between 1 and 53.
DAYOFYEAR(date)	Equivalent to EXTRACT(DOY FROM date). Returns an integer between 1 and 366.
DAYOFMONTH(date)	Equivalent to EXTRACT(DAY FROM date). Returns an integer between 1 and 31.
DAYOFWEEK(date)	Equivalent to EXTRACT(DOW FROM date). Returns an integer between 1 and 7.
HOUR(date)	Equivalent to EXTRACT(HOUR FROM date). Returns an integer between 0 and 23.
MINUTE(date)	Equivalent to EXTRACT(MINUTE FROM date). Returns an integer between 0 and 59.
SECOND(date)	Equivalent to EXTRACT(SECOND FROM date). Returns an integer between 0 and 59.
TIMESTAMPADD(timeUnit, integer, datetime)	Returns datetime with an interval of (signed) integer timeUnits added. Equivalent to datetime + INTERVAL 'integer' timeUnit
TIMESTAMPDIFF(timeUnit, datetime, datetime2)	Returns the (signed) number of timeUnit intervals between datetime and datetime2. Equivalent to (datetime2 - datetime) timeUnit
LAST_DAY(date)	Returns the date of the last day of the month in a value of datatype DATE; For example, it returns DATE’2020-02-29’ for both DATE’2020-02-10’ and TIMESTAMP’2020-02-10 10:10:10’

Calls to niladic functions such as CURRENT_DATE do not accept parentheses in standard SQL. Calls with parentheses, such as CURRENT_DATE() are accepted in certain conformance levels.

Not implemented:

• CEIL(interval)
• FLOOR(interval)
• + interval
• - interval
• interval + interval
• interval - interval
• interval / interval

System functions

Operator syntax	Description
USER	Equivalent to CURRENT_USER
CURRENT_USER	User name of current execution context
SESSION_USER	Session user name
SYSTEM_USER	Returns the name of the current data store user as identified by the operating system
CURRENT_PATH	Returns a character string representing the current lookup scope for references to user-defined routines and types
CURRENT_ROLE	Returns the current active role
CURRENT_SCHEMA	Returns the current schema

Conditional functions and operators

Operator syntax	Description
CASE value WHEN value1 [, value11 ]* THEN result1 [ WHEN valueN [, valueN1 ]* THEN resultN ]* [ ELSE resultZ ] END	Simple case
CASE WHEN condition1 THEN result1 [ WHEN conditionN THEN resultN ]* [ ELSE resultZ ] END	Searched case
NULLIF(value, value)	Returns NULL if the values are the same. For example, NULLIF(5, 5) returns NULL; NULLIF(5, 0) returns 5.
COALESCE(value, value [, value ]*)	Provides a value if the first value is null. For example, COALESCE(NULL, 5) returns 5.

Type conversion

Generally an expression cannot contain values of different datatypes. For example, an expression cannot multiply 5 by 10 and then add ‘JULIAN’. However, Calcite supports both implicit and explicit conversion of values from one datatype to another.

Implicit and Explicit Type Conversion

Calcite recommends that you specify explicit conversions, rather than rely on implicit or automatic conversions, for these reasons:

• SQL statements are easier to understand when you use explicit datatype conversion functions.
• Implicit datatype conversion can have a negative impact on performance, especially if the datatype of a column value is converted to that of a constant rather than the other way around.
• Implicit conversion depends on the context in which it occurs and may not work the same way in every case. For example, implicit conversion from a datetime value to a VARCHAR value may return an unexpected format.

Algorithms for implicit conversion are subject to change across Calcite releases. Behavior of explicit conversions is more predictable.

Explicit Type Conversion

Operator syntax	Description
CAST(value AS type)	Converts a value to a given type. Casts between integer types truncate towards 0
CONVERT(string, charSet1, charSet2)	Converts string from charSet1 to charSet2
CONVERT(value USING transcodingName)	Alter value from one base character set to transcodingName
TRANSLATE(value USING transcodingName)	Alter value from one base character set to transcodingName

Converting a string to a BINARY or VARBINARY type produces the list of bytes of the string’s encoding in the strings’ charset. A runtime error is produced if the string’s characters cannot be represented using its charset.

Supported data types syntax:

type:
      typeName
      [ collectionsTypeName ]*

typeName:
      sqlTypeName
  |   rowTypeName
  |   mapTypeName
  |   compoundIdentifier

mapTypeName:
  MAP '<' type ',' type '>'

sqlTypeName:
      char [ precision ] [ charSet ]
  |   varchar [ precision ] [ charSet ]
  |   DATE
  |   time
  |   timestamp
  |   GEOMETRY
  |   decimal [ precision [, scale] ]
  |   BOOLEAN
  |   integer
  |   BINARY [ precision ]
  |   varbinary [ precision ]
  |   TINYINT
  |   SMALLINT
  |   BIGINT
  |   REAL
  |   double
  |   FLOAT
  |   ANY [ precision [, scale] ]

collectionsTypeName:
      ARRAY | MULTISET

rowTypeName:
      ROW '('
      fieldName1 fieldType1 [ NULL | NOT NULL ]
      [ , fieldName2 fieldType2 [ NULL | NOT NULL ] ]*
      ')'

char:
      CHARACTER | CHAR

varchar:
      char VARYING | VARCHAR

decimal:
      DECIMAL | DEC | NUMERIC

integer:
      INTEGER | INT

varbinary:
      BINARY VARYING | VARBINARY

double:
      DOUBLE [ PRECISION ]

time:
      TIME [ precision ] [ timeZone ]

timestamp:
      TIMESTAMP [ precision ] [ timeZone ]

charSet:
      CHARACTER SET charSetName

timeZone:
      WITHOUT TIME ZONE
  |   WITH LOCAL TIME ZONE

Implicit Type Conversion

Calcite automatically converts a value from one datatype to another when such a conversion makes sense. The table below is a matrix of Calcite type conversions. The table shows all possible conversions, without regard to the context in which it is made. The rules governing these details follow the table.

FROM - TO	NULL	BOOLEAN	TINYINT	SMALLINT	INT	BIGINT	DECIMAL	FLOAT or REAL	DOUBLE	INTERVAL	DATE	TIME	TIMESTAMP	CHAR or VARCHAR	BINARY or VARBINARY	GEOMETRY	ARRAY
NULL	i	i	i	i	i	i	i	i	i	i	i	i	i	i	i	i	x
BOOLEAN	x	i	x	x	x	x	x	x	x	x	x	x	x	i	x	x	x
TINYINT	x	e	i	i	i	i	i	i	i	e	x	x	e	i	x	x	x
SMALLINT	x	e	i	i	i	i	i	i	i	e	x	x	e	i	x	x	x
INT	x	e	i	i	i	i	i	i	i	e	x	x	e	i	x	x	x
BIGINT	x	e	i	i	i	i	i	i	i	e	x	x	e	i	x	x	x
DECIMAL	x	e	i	i	i	i	i	i	i	e	x	x	e	i	x	x	x
FLOAT/REAL	x	e	i	i	i	i	i	i	i	x	x	x	e	i	x	x	x
DOUBLE	x	e	i	i	i	i	i	i	i	x	x	x	e	i	x	x	x
INTERVAL	x	x	e	e	e	e	e	x	x	i	x	x	x	e	x	x	x
DATE	x	x	x	x	x	x	x	x	x	x	i	x	i	i	x	x	x
TIME	x	x	x	x	x	x	x	x	x	x	x	i	e	i	x	x	x
TIMESTAMP	x	x	e	e	e	e	e	e	e	x	i	e	i	i	x	x	x
CHAR or VARCHAR	x	e	i	i	i	i	i	i	i	i	i	i	i	i	i	i	i
BINARY or VARBINARY	x	x	x	x	x	x	x	x	x	x	e	e	e	i	i	x	x
GEOMETRY	x	x	x	x	x	x	x	x	x	x	x	x	x	i	x	i	x
ARRAY	x	x	x	x	x	x	x	x	x	x	x	x	x	x	x	x	i

i: implicit cast / e: explicit cast / x: not allowed

Conversion Contexts and Strategies

• Set operation (UNION, EXCEPT, INTERSECT): compare every branch row data type and find the common type of each fields pair;
• Binary arithmetic expression (+, -, &, ^, /, %): promote string operand to data type of the other numeric operand;
• Binary comparison (=, <, <=, <>, >, >=): if operands are STRING and TIMESTAMP, promote to TIMESTAMP; make 1 = true and 0 = false always evaluate to TRUE; if there is numeric type operand, find common type for both operands.
• IN sub-query: compare type of LHS and RHS, and find the common type; if it is struct type, find wider type for every field;
• IN expression list: compare every expression to find the common type;
• CASE WHEN expression or COALESCE: find the common wider type of the THEN and ELSE operands;
• Character + INTERVAL or character - INTERVAL: promote character to TIMESTAMP;
• Built-in function: look up the type families registered in the checker, find the family default type if checker rules allow it;
• User-defined function (UDF): coerce based on the declared argument types of the eval() method;
• INSERT and UPDATE: coerce a source field to counterpart target table field’s type if the two fields differ with type name or precision(scale).

Note:

Implicit type coercion of following cases are ignored:

• One of the type is ANY;
• Type coercion within CHARACTER types are always ignored, i.e. from CHAR(20) to VARCHAR(30);
• Type coercion from a numeric to another with higher precedence is ignored, i.e. from INT to LONG.

Strategies for Finding Common Type

• If the operator has expected data types, just take them as the desired one. (e.g. the UDF would have eval() method which has reflection argument types);
• If there is no expected data type but the data type families are registered, try to coerce the arguments to the family’s default data type, i.e. the String family will have a VARCHAR type;
• If neither expected data type nor families are specified, try to find the tightest common type of the node types, i.e. INTEGER and DOUBLE will return DOUBLE, the numeric precision does not lose for this case;
• If no tightest common type is found, try to find a wider type, i.e. VARCHAR and INTEGER will return INTEGER, we allow some precision loss when widening decimal to fractional, or promote to VARCHAR type.

Value constructors

Operator syntax	Description
ROW (value [, value ]*)	Creates a row from a list of values.
(value [, value ]* )	Creates a row from a list of values.
row ‘[’ index ‘]’	Returns the element at a particular location in a row (1-based index).
row ‘[’ name ‘]’	Returns the element of a row with a particular name.
map ‘[’ key ‘]’	Returns the element of a map with a particular key.
array ‘[’ index ‘]’	Returns the element at a particular location in an array (1-based index).
ARRAY ‘[’ value [, value ]* ‘]’	Creates an array from a list of values.
MAP ‘[’ key, value [, key, value ]* ‘]’	Creates a map from a list of key-value pairs.

Value constructors by query

Operator syntax	Description
ARRAY (sub-query)	Creates an array from the result of a sub-query. Example: ARRAY(SELECT empno FROM emp ORDER BY empno)
MAP (sub-query)	Creates a map from the result of a key-value pair sub-query. Example: MAP(SELECT empno, deptno FROM emp)
MULTISET (sub-query)	Creates a multiset from the result of a sub-query. Example: MULTISET(SELECT empno FROM emp)

Collection functions

Operator syntax	Description
ELEMENT(value)	Returns the sole element of an array or multiset; null if the collection is empty; throws if it has more than one element.
CARDINALITY(value)	Returns the number of elements in an array or multiset.
value MEMBER OF multiset	Returns whether the value is a member of multiset.
multiset IS A SET	Whether multiset is a set (has no duplicates).
multiset IS NOT A SET	Whether multiset is not a set (has duplicates).
multiset IS EMPTY	Whether multiset contains zero elements.
multiset IS NOT EMPTY	Whether multiset contains one or more elements.
multiset SUBMULTISET OF multiset2	Whether multiset is a submultiset of multiset2.
multiset NOT SUBMULTISET OF multiset2	Whether multiset is not a submultiset of multiset2.
multiset MULTISET UNION [ ALL | DISTINCT ] multiset2	Returns the union multiset and multiset2, eliminating duplicates if DISTINCT is specified (ALL is the default).
multiset MULTISET INTERSECT [ ALL | DISTINCT ] multiset2	Returns the intersection of multiset and multiset2, eliminating duplicates if DISTINCT is specified (ALL is the default).
multiset MULTISET EXCEPT [ ALL | DISTINCT ] multiset2	Returns the difference of multiset and multiset2, eliminating duplicates if DISTINCT is specified (ALL is the default).

See also: the UNNEST relational operator converts a collection to a relation.

Period predicates

Operator syntax	Description
period1 CONTAINS datetime
period1 CONTAINS period2
period1 OVERLAPS period2
period1 EQUALS period2
period1 PRECEDES period2
period1 IMMEDIATELY PRECEDES period2
period1 SUCCEEDS period2
period1 IMMEDIATELY SUCCEEDS period2

Where period1 and period2 are period expressions:

period:
      (datetime, datetime)
  |   (datetime, interval)
  |   PERIOD (datetime, datetime)
  |   PERIOD (datetime, interval)

JDBC function escape

Numeric

Operator syntax	Description
{fn ABS(numeric)}	Returns the absolute value of numeric
{fn ACOS(numeric)}	Returns the arc cosine of numeric
{fn ASIN(numeric)}	Returns the arc sine of numeric
{fn ATAN(numeric)}	Returns the arc tangent of numeric
{fn ATAN2(numeric, numeric)}	Returns the arc tangent of the numeric coordinates
{fn CBRT(numeric)}	Returns the cube root of numeric
{fn CEILING(numeric)}	Rounds numeric up, and returns the smallest number that is greater than or equal to numeric
{fn COS(numeric)}	Returns the cosine of numeric
{fn COT(numeric)}	Returns the cotangent of numeric
{fn DEGREES(numeric)}	Converts numeric from radians to degrees
{fn EXP(numeric)}	Returns e raised to the power of numeric
{fn FLOOR(numeric)}	Rounds numeric down, and returns the largest number that is less than or equal to numeric
{fn LOG(numeric)}	Returns the natural logarithm (base e) of numeric
{fn LOG10(numeric)}	Returns the base-10 logarithm of numeric
{fn MOD(numeric1, numeric2)}	Returns the remainder (modulus) of numeric1 divided by numeric2. The result is negative only if numeric1 is negative
{fn PI()}	Returns a value that is closer than any other value to pi
{fn POWER(numeric1, numeric2)}	Returns numeric1 raised to the power of numeric2
{fn RADIANS(numeric)}	Converts numeric from degrees to radians
{fn RAND(numeric)}	Returns a random double using numeric as the seed value
{fn ROUND(numeric1, integer2)}	Rounds numeric1 to integer2 places right to the decimal point
{fn SIGN(numeric)}	Returns the signum of numeric
{fn SIN(numeric)}	Returns the sine of numeric
{fn SQRT(numeric)}	Returns the square root of numeric
{fn TAN(numeric)}	Returns the tangent of numeric
{fn TRUNCATE(numeric1, integer2)}	Truncates numeric1 to integer2 places right to the decimal point

String

Operator syntax	Description
{fn ASCII(string)}	Returns the ASCII code of the first character of string; if the first character is a non-ASCII character, returns its Unicode code point; returns 0 if string is empty
{fn CHAR(integer)}	Returns the character whose ASCII code is integer % 256, or null if integer < 0
{fn CONCAT(character, character)}	Returns the concatenation of character strings
{fn INSERT(string1, start, length, string2)}	Inserts string2 into a slot in string1
{fn LCASE(string)}	Returns a string in which all alphabetic characters in string have been converted to lower case
{fn LENGTH(string)}	Returns the number of characters in a string
{fn LOCATE(string1, string2 [, integer])}	Returns the position in string2 of the first occurrence of string1. Searches from the beginning of string2, unless integer is specified.
{fn LEFT(string, length)}	Returns the leftmost length characters from string
{fn LTRIM(string)}	Returns string with leading space characters removed
{fn REPLACE(string, search, replacement)}	Returns a string in which all the occurrences of search in string are replaced with replacement; if replacement is the empty string, the occurrences of search are removed
{fn REVERSE(string)}	Returns string with the order of the characters reversed
{fn RIGHT(string, length)}	Returns the rightmost length characters from string
{fn RTRIM(string)}	Returns string with trailing space characters removed
{fn SUBSTRING(string, offset, length)}	Returns a character string that consists of length characters from string starting at the offset position
{fn UCASE(string)}	Returns a string in which all alphabetic characters in string have been converted to upper case

Date/time

Operator syntax	Description
{fn CURDATE()}	Equivalent to CURRENT_DATE
{fn CURTIME()}	Equivalent to LOCALTIME
{fn NOW()}	Equivalent to LOCALTIMESTAMP
{fn YEAR(date)}	Equivalent to EXTRACT(YEAR FROM date). Returns an integer.
{fn QUARTER(date)}	Equivalent to EXTRACT(QUARTER FROM date). Returns an integer between 1 and 4.
{fn MONTH(date)}	Equivalent to EXTRACT(MONTH FROM date). Returns an integer between 1 and 12.
{fn WEEK(date)}	Equivalent to EXTRACT(WEEK FROM date). Returns an integer between 1 and 53.
{fn DAYOFYEAR(date)}	Equivalent to EXTRACT(DOY FROM date). Returns an integer between 1 and 366.
{fn DAYOFMONTH(date)}	Equivalent to EXTRACT(DAY FROM date). Returns an integer between 1 and 31.
{fn DAYOFWEEK(date)}	Equivalent to EXTRACT(DOW FROM date). Returns an integer between 1 and 7.
{fn HOUR(date)}	Equivalent to EXTRACT(HOUR FROM date). Returns an integer between 0 and 23.
{fn MINUTE(date)}	Equivalent to EXTRACT(MINUTE FROM date). Returns an integer between 0 and 59.
{fn SECOND(date)}	Equivalent to EXTRACT(SECOND FROM date). Returns an integer between 0 and 59.
{fn TIMESTAMPADD(timeUnit, count, datetime)}	Adds an interval of count timeUnits to a datetime
{fn TIMESTAMPDIFF(timeUnit, timestamp1, timestamp2)}	Subtracts timestamp1 from timestamp2 and returns the result in timeUnits

System

Operator syntax	Description
{fn DATABASE()}	Equivalent to CURRENT_CATALOG
{fn IFNULL(value1, value2)}	Returns value2 if value1 is null
{fn USER()}	Equivalent to CURRENT_USER

Conversion

Operator syntax	Description
{fn CONVERT(value, type)}	Cast value into type

Aggregate functions

Syntax:

aggregateCall:
      agg '(' [ ALL | DISTINCT ] value [, value ]* ')'
      [ WITHIN DISTINCT '(' expression [, expression ]* ')' ]
      [ WITHIN GROUP '(' ORDER BY orderItem [, orderItem ]* ')' ]
      [ FILTER '(' WHERE condition ')' ]
  |   agg '(' '*' ')' [ FILTER (WHERE condition) ]

where agg is one of the operators in the following table, or a user-defined aggregate function.

If FILTER is present, the aggregate function only considers rows for which condition evaluates to TRUE.

If DISTINCT is present, duplicate argument values are eliminated before being passed to the aggregate function.

If WITHIN DISTINCT is present, argument values are made distinct within each value of specified keys before being passed to the aggregate function.

If WITHIN GROUP is present, the aggregate function sorts the input rows according to the ORDER BY clause inside WITHIN GROUP before aggregating values. WITHIN GROUP is only allowed for hypothetical set functions (RANK, DENSE_RANK, PERCENT_RANK and CUME_DIST), inverse distribution functions (PERCENTILE_CONT and PERCENTILE_DISC) and collection functions (COLLECT and LISTAGG).

Operator syntax	Description
ANY_VALUE( [ ALL | DISTINCT ] value)	Returns one of the values of value across all input values; this is NOT specified in the SQL standard
ARG_MAX(value, comp)	Returns value for the maximum value of comp in the group
ARG_MIN(value, comp)	Returns value for the minimum value of comp in the group
APPROX_COUNT_DISTINCT(value [, value ]*)	Returns the approximate number of distinct values of value; the database is allowed to use an approximation but is not required to
AVG( [ ALL | DISTINCT ] numeric)	Returns the average (arithmetic mean) of numeric across all input values
BIT_AND( [ ALL | DISTINCT ] value)	Returns the bitwise AND of all non-null input values, or null if none; integer and binary types are supported
BIT_OR( [ ALL | DISTINCT ] value)	Returns the bitwise OR of all non-null input values, or null if none; integer and binary types are supported
BIT_XOR( [ ALL | DISTINCT ] value)	Returns the bitwise XOR of all non-null input values, or null if none; integer and binary types are supported
COLLECT( [ ALL | DISTINCT ] value)	Returns a multiset of the values
COUNT(*)	Returns the number of input rows
COUNT( [ ALL | DISTINCT ] value [, value ]*)	Returns the number of input rows for which value is not null (wholly not null if value is composite)
COVAR_POP(numeric1, numeric2)	Returns the population covariance of the pair (numeric1, numeric2) across all input values
COVAR_SAMP(numeric1, numeric2)	Returns the sample covariance of the pair (numeric1, numeric2) across all input values
EVERY(condition)	Returns TRUE if all of the values of condition are TRUE
FUSION(multiset)	Returns the multiset union of multiset across all input values
INTERSECTION(multiset)	Returns the multiset intersection of multiset across all input values
LISTAGG( [ ALL | DISTINCT ] value [, separator])	Returns values concatenated into a string, delimited by separator (default ‘,’)
MAX( [ ALL | DISTINCT ] value)	Returns the maximum value of value across all input values
MIN( [ ALL | DISTINCT ] value)	Returns the minimum value of value across all input values
MODE(value)	Returns the most frequent value of value across all input values
REGR_COUNT(numeric1, numeric2)	Returns the number of rows where both dependent and independent expressions are not null
REGR_SXX(numeric1, numeric2)	Returns the sum of squares of the dependent expression in a linear regression model
REGR_SYY(numeric1, numeric2)	Returns the sum of squares of the independent expression in a linear regression model
SOME(condition)	Returns TRUE if one or more of the values of condition is TRUE
STDDEV( [ ALL | DISTINCT ] numeric)	Synonym for STDDEV_SAMP
STDDEV_POP( [ ALL | DISTINCT ] numeric)	Returns the population standard deviation of numeric across all input values
STDDEV_SAMP( [ ALL | DISTINCT ] numeric)	Returns the sample standard deviation of numeric across all input values
SUM( [ ALL | DISTINCT ] numeric)	Returns the sum of numeric across all input values
VAR_POP( [ ALL | DISTINCT ] value)	Returns the population variance (square of the population standard deviation) of numeric across all input values
VAR_SAMP( [ ALL | DISTINCT ] numeric)	Returns the sample variance (square of the sample standard deviation) of numeric across all input values

Not implemented:

• REGR_AVGX(numeric1, numeric2)
• REGR_AVGY(numeric1, numeric2)
• REGR_INTERCEPT(numeric1, numeric2)
• REGR_R2(numeric1, numeric2)
• REGR_SLOPE(numeric1, numeric2)
• REGR_SXY(numeric1, numeric2)

Ordered-Set Aggregate Functions

The syntax is as for aggregateCall, except that WITHIN GROUP is required.

In the following:

• fraction is a numeric literal between 0 and 1, inclusive, and represents a percentage

Operator syntax	Description
PERCENTILE_CONT(fraction) WITHIN GROUP (ORDER BY orderItem)	Returns a percentile based on a continuous distribution of the column values, interpolating between adjacent input items if needed
PERCENTILE_DISC(fraction) WITHIN GROUP (ORDER BY orderItem [, orderItem ]*)	Returns a percentile based on a discrete distribution of the column values returning the first input value whose position in the ordering equals or exceeds the specified fraction

Window functions

Syntax:

windowedAggregateCall:
      agg '(' [ ALL | DISTINCT ] value [, value ]* ')'
      [ RESPECT NULLS | IGNORE NULLS ]
      [ WITHIN GROUP '(' ORDER BY orderItem [, orderItem ]* ')' ]
      OVER window
  |   agg '(' '*' ')'
      OVER window

where agg is one of the operators in the following table, or a user-defined aggregate function.

The exclude clause can be one of:

• EXCLUDE NO OTHER: Does not exclude any row from the frame. This is the default.
• EXCLUDE CURRENT ROW: Exclude the current row from the frame.
• EXCLUDE GROUP: Exclude the current row and its ordering peers from the frame.
• EXCLUDE TIES: Exclude all the ordering peers of the current row, but not the current row itself.

DISTINCT, FILTER and WITHIN GROUP are as described for aggregate functions.

Operator syntax	Description
COUNT(value [, value ]*) OVER window	Returns the number of rows in window for which value is not null (wholly not null if value is composite)
COUNT(*) OVER window	Returns the number of rows in window
AVG(numeric) OVER window	Returns the average (arithmetic mean) of numeric across all values in window
SUM(numeric) OVER window	Returns the sum of numeric across all values in window
MAX(value) OVER window	Returns the maximum value of value across all values in window
MIN(value) OVER window	Returns the minimum value of value across all values in window
RANK() OVER window	Returns the rank of the current row with gaps; same as ROW_NUMBER of its first peer
DENSE_RANK() OVER window	Returns the rank of the current row without gaps; this function counts peer groups
ROW_NUMBER() OVER window	Returns the number of the current row within its partition, counting from 1
FIRST_VALUE(value) OVER window	Returns value evaluated at the row that is the first row of the window frame
LAST_VALUE(value) OVER window	Returns value evaluated at the row that is the last row of the window frame
LEAD(value, offset, default) OVER window	Returns value evaluated at the row that is offset rows after the current row within the partition; if there is no such row, instead returns default. Both offset and default are evaluated with respect to the current row. If omitted, offset defaults to 1 and default to NULL
LAG(value, offset, default) OVER window	Returns value evaluated at the row that is offset rows before the current row within the partition; if there is no such row, instead returns default. Both offset and default are evaluated with respect to the current row. If omitted, offset defaults to 1 and default to NULL
NTH_VALUE(value, nth) OVER window	Returns value evaluated at the row that is the nth row of the window frame
NTILE(value) OVER window	Returns an integer ranging from 1 to value, dividing the partition as equally as possible

Note:

• You may specify null treatment (IGNORE NULLS, RESPECT NULLS) for FIRST_VALUE, LAST_VALUE, NTH_VALUE, LEAD and LAG functions. The syntax handled by the parser, but only RESPECT NULLS is implemented at runtime.

Not implemented:

• COUNT(DISTINCT value [, value ]*) OVER window
• APPROX_COUNT_DISTINCT(value [, value ]*) OVER window
• PERCENT_RANK(value) OVER window
• CUME_DIST(value) OVER window

Grouping functions

Operator syntax	Description
GROUPING(expression [, expression ]*)	Returns a bit vector of the given grouping expressions
GROUP_ID()	Returns an integer that uniquely identifies the combination of grouping keys
GROUPING_ID(expression [, expression ]*)	Synonym for GROUPING

DESCRIPTOR

Operator syntax	Description
DESCRIPTOR(name [, name ]*)	DESCRIPTOR appears as an argument in a function to indicate a list of names. The interpretation of names is left to the function.

Table functions

Table functions occur in the FROM clause.

Table functions may have generic table parameters (i.e., no row type is declared when the table function is created), and the row type of the result might depend on the row type(s) of the input tables. Besides, input tables are classified by three characteristics. The first characteristic is semantics. Input tables have either row semantics or set semantics, as follows:

• Row semantics means that the result of the table function depends on a row-by-row basis.
• Set semantics means that the outcome of the function depends on how the data is partitioned.

The second characteristic, which applies only to input tables with set semantics, is whether the table function can generate a result row even if the input table is empty.

• If the table function can generate a result row on empty input, the table is said to be “keep when empty”.
• The alternative is called “prune when empty”, meaning that the result would be pruned out if the input table is empty.

The third characteristic is whether the input table supports pass-through columns or not. Pass-through columns is a mechanism enabling the table function to copy every column of an input row into columns of an output row.

The input tables with set semantics may be partitioned on one or more columns. The input tables with set semantics may be ordered on one or more columns.

Note:

• The input tables with row semantics may not be partitioned or ordered.
• A polymorphic table function may have multiple input tables. However, at most one input table could have row semantics.

TUMBLE

In streaming queries, TUMBLE assigns a window for each row of a relation based on a timestamp column. An assigned window is specified by its beginning and ending. All assigned windows have the same length, and that’s why tumbling sometimes is named as “fixed windowing”. The first parameter of the TUMBLE table function is a generic table parameter. The input table has row semantics and supports pass-through columns.

Operator syntax	Description
TUMBLE(data, DESCRIPTOR(timecol), size [, offset ])	Indicates a tumbling window of size interval for timecol, optionally aligned at offset.

Here is an example:

SELECT * FROM TABLE(
  TUMBLE(
    TABLE orders,
    DESCRIPTOR(rowtime),
    INTERVAL '1' MINUTE));

-- or with the named params
-- note: the DATA param must be the first
SELECT * FROM TABLE(
  TUMBLE(
    DATA => TABLE orders,
    TIMECOL => DESCRIPTOR(rowtime),
    SIZE => INTERVAL '1' MINUTE));

applies a tumbling window with a one minute range to rows from the orders table. rowtime is the watermarked column of the orders table that informs whether data is complete.

HOP

In streaming queries, HOP assigns windows that cover rows within the interval of size and shifting every slide based on a timestamp column. Windows assigned could have overlapping so hopping sometime is named as “sliding windowing”. The first parameter of the HOP table function is a generic table parameter. The input table has row semantics and supports pass-through columns.

Operator syntax	Description
HOP(data, DESCRIPTOR(timecol), slide, size [, offset ])	Indicates a hopping window for timecol, covering rows within the interval of size, shifting every slide and optionally aligned at offset.

Here is an example:

SELECT * FROM TABLE(
  HOP(
    TABLE orders,
    DESCRIPTOR(rowtime),
    INTERVAL '2' MINUTE,
    INTERVAL '5' MINUTE));

-- or with the named params
-- note: the DATA param must be the first
SELECT * FROM TABLE(
  HOP(
    DATA => TABLE orders,
    TIMECOL => DESCRIPTOR(rowtime),
    SLIDE => INTERVAL '2' MINUTE,
    SIZE => INTERVAL '5' MINUTE));

applies hopping with 5-minute interval size on rows from table orders and shifting every 2 minutes. rowtime is the watermarked column of table orders that tells data completeness.

SESSION

In streaming queries, SESSION assigns windows that cover rows based on datetime. Within a session window, distances of rows are less than interval. Session window is applied per key. The first parameter of the SESSION table function is a generic table parameter. The input table has set semantics and supports pass-through columns. Besides, the SESSION table function would not generate a result row if the input table is empty.

Operator syntax	Description
session(data, DESCRIPTOR(timecol), DESCRIPTOR(key), size)	Indicates a session window of size interval for timecol. Session window is applied per key.

Here is an example:

SELECT * FROM TABLE(
  SESSION(
    TABLE orders PARTITION BY product,
    DESCRIPTOR(rowtime),
    INTERVAL '20' MINUTE));

-- or with the named params
-- note: the DATA param must be the first
SELECT * FROM TABLE(
  SESSION(
    DATA => TABLE orders PARTITION BY product,
    TIMECOL => DESCRIPTOR(rowtime),
    SIZE => INTERVAL '20' MINUTE));

applies a session with 20-minute inactive gap on rows from table orders. rowtime is the watermarked column of table orders that tells data completeness. Session is applied per product.

Note: The Tumble, Hop and Session window table functions assign each row in the original table to a window. The output table has all the same columns as the original table plus two additional columns window_start and window_end, which represent the start and end of the window interval, respectively.

Grouped window functions

warning: grouped window functions are deprecated.

Grouped window functions occur in the GROUP BY clause and define a key value that represents a window containing several rows.

In some window functions, a row may belong to more than one window. For example, if a query is grouped using HOP(t, INTERVAL '2' HOUR, INTERVAL '1' HOUR), a row with timestamp ‘10:15:00’ will occur in both the 10:00 - 11:00 and 11:00 - 12:00 totals.

Operator syntax	Description
HOP(datetime, slide, size [, time ])	Indicates a hopping window for datetime, covering rows within the interval of size, shifting every slide, and optionally aligned at time
SESSION(datetime, interval [, time ])	Indicates a session window of interval for datetime, optionally aligned at time
TUMBLE(datetime, interval [, time ])	Indicates a tumbling window of interval for datetime, optionally aligned at time

Grouped auxiliary functions

Grouped auxiliary functions allow you to access properties of a window defined by a grouped window function.

Operator syntax	Description
HOP_END(expression, slide, size [, time ])	Returns the value of expression at the end of the window defined by a HOP function call
HOP_START(expression, slide, size [, time ])	Returns the value of expression at the beginning of the window defined by a HOP function call
SESSION_END(expression, interval [, time])	Returns the value of expression at the end of the window defined by a SESSION function call
SESSION_START(expression, interval [, time])	Returns the value of expression at the beginning of the window defined by a SESSION function call
TUMBLE_END(expression, interval [, time ])	Returns the value of expression at the end of the window defined by a TUMBLE function call
TUMBLE_START(expression, interval [, time ])	Returns the value of expression at the beginning of the window defined by a TUMBLE function call

Spatial functions

In the following:

• geom is a GEOMETRY;
• geomCollection is a GEOMETRYCOLLECTION;
• point is a POINT;
• lineString is a LINESTRING;
• iMatrix is a DE-9IM intersection matrix;
• distance, tolerance, segmentLengthFraction, offsetDistance are of type double;
• dimension, quadSegs, srid, zoom are of type integer;
• layerType is a character string;
• gml is a character string containing Geography Markup Language (GML);
• wkt is a character string containing well-known text (WKT);
• wkb is a binary string containing well-known binary (WKB).

In the “C” (for “compatibility”) column, “o” indicates that the function implements the OpenGIS Simple Features Implementation Specification for SQL, version 1.2.1; “p” indicates that the function is a PostGIS extension to OpenGIS; “h” indicates that the function is an H2GIS extension.

Geometry conversion functions (2D)

C	Operator syntax	Description
p	ST_AsBinary(geom)	Synonym for ST_AsWKB
p	ST_AsEWKB(geom)	Synonym for ST_AsWKB
p	ST_AsEWKT(geom)	Converts GEOMETRY → EWKT
p	ST_AsGeoJSON(geom)	Converts GEOMETRY → GeoJSON
p	ST_AsGML(geom)	Converts GEOMETRY → GML
p	ST_AsText(geom)	Synonym for ST_AsWKT
o	ST_AsWKB(geom)	Converts GEOMETRY → WKB
o	ST_AsWKT(geom)	Converts GEOMETRY → WKT
o	ST_Force2D(geom)	3D GEOMETRY → 2D GEOMETRY
o	ST_GeomFromEWKB(wkb [, srid ])	Synonym for ST_GeomFromWKB
o	ST_GeomFromEWKT(wkb [, srid ])	Converts EWKT → GEOMETRY
o	ST_GeomFromGeoJSON(json)	Converts GeoJSON → GEOMETRY
o	ST_GeomFromGML(wkb [, srid ])	Converts GML → GEOMETRY
o	ST_GeomFromText(wkt [, srid ])	Synonym for ST_GeomFromWKT
o	ST_GeomFromWKB(wkb [, srid ])	Converts WKB → GEOMETRY
o	ST_GeomFromWKT(wkb [, srid ])	Converts WKT → GEOMETRY
o	ST_LineFromText(wkt [, srid ])	Converts WKT → LINESTRING
o	ST_LineFromWKB(wkt [, srid ])	Converts WKT → LINESTRING
o	ST_MLineFromText(wkt [, srid ])	Converts WKT → MULTILINESTRING
o	ST_MPointFromText(wkt [, srid ])	Converts WKT → MULTIPOINT
o	ST_MPolyFromText(wkt [, srid ]) Converts WKT → MULTIPOLYGON
o	ST_PointFromText(wkt [, srid ])	Converts WKT → POINT
o	ST_PointFromWKB(wkt [, srid ])	Converts WKB → POINT
o	ST_PolyFromText(wkt [, srid ])	Converts WKT → POLYGON
o	ST_PolyFromWKB(wkt [, srid ])	Converts WKB → POLYGON
p	ST_ReducePrecision(geom, gridSize)	Reduces the precision of a geom to the provided gridSize
h	ST_ToMultiPoint(geom)	Converts the coordinates of geom (which may be a GEOMETRYCOLLECTION) into a MULTIPOINT
h	ST_ToMultiLine(geom)	Converts the coordinates of geom (which may be a GEOMETRYCOLLECTION) into a MULTILINESTRING
h	ST_ToMultiSegments(geom)	Converts geom (which may be a GEOMETRYCOLLECTION) into a set of distinct segments stored in a MULTILINESTRING

Not implemented:

• ST_GoogleMapLink(geom [, layerType [, zoom ]]) GEOMETRY → Google map link
• ST_OSMMapLink(geom [, marker ]) GEOMETRY → OSM map link

Geometry conversion functions (3D)

C	Operator syntax	Description
o	ST_Force3D(geom)	2D GEOMETRY → 3D GEOMETRY

Geometry creation functions (2D)

C	Operator syntax	Description
h	ST_BoundingCircle(geom)	Returns the minimum bounding circle of geom
h	ST_Expand(geom, distance)	Expands geom’s envelope
h	ST_Expand(geom, deltaX, deltaY)	Expands geom’s envelope
h	ST_MakeEllipse(point, width, height)	Constructs an ellipse
p	ST_MakeEnvelope(xMin, yMin, xMax, yMax [, srid ])	Creates a rectangular POLYGON
h	ST_MakeGrid(geom, deltaX, deltaY)	Calculates a regular grid of POLYGONs based on geom
h	ST_MakeGridPoints(geom, deltaX, deltaY)	Calculates a regular grid of points based on geom
o	ST_MakeLine(point1 [, point ]*)	Creates a line-string from the given POINTs (or MULTIPOINTs)
p	ST_MakePoint(x, y [, z ])	Synonym for ST_Point
p	ST_MakePolygon(lineString [, hole ]*)	Creates a POLYGON from lineString with the given holes (which are required to be closed LINESTRINGs)
h	ST_MinimumDiameter(geom)	Returns the minimum diameter of geom
h	ST_MinimumRectangle(geom)	Returns the minimum rectangle enclosing geom
h	ST_OctogonalEnvelope(geom)	Returns the octogonal envelope of geom
o	ST_Point(x, y [, z ])	Constructs a point from two or three coordinates

Not implemented:

• ST_RingBuffer(geom, distance, bufferCount [, endCapStyle [, doDifference]]) Returns a MULTIPOLYGON of buffers centered at geom and of increasing buffer size

Geometry creation functions (3D)

Not implemented:

• ST_Extrude(geom, height [, flag]) Extrudes a GEOMETRY
• ST_GeometryShadow(geom, point, height) Computes the shadow footprint of geom
• ST_GeometryShadow(geom, azimuth, altitude, height [, unify ]) Computes the shadow footprint of geom

Geometry properties (2D)

C	Operator syntax	Description
o	ST_Boundary(geom [, srid ])	Returns the boundary of geom
o	ST_Centroid(geom)	Returns the centroid of geom
o	ST_CoordDim(geom)	Returns the dimension of the coordinates of geom
o	ST_Dimension(geom)	Returns the dimension of geom
o	ST_Distance(geom1, geom2)	Returns the distance between geom1 and geom2
h	ST_ExteriorRing(geom)	Returns the exterior ring of geom, or null if geom is not a polygon
o	ST_GeometryType(geom)	Returns the type of geom
o	ST_GeometryTypeCode(geom)	Returns the OGC SFS type code of geom
p	ST_EndPoint(lineString)	Returns the last coordinate of geom
o	ST_Envelope(geom [, srid ])	Returns the envelope of geom (which may be a GEOMETRYCOLLECTION) as a GEOMETRY
o	ST_Extent(geom)	Returns the minimum bounding box of geom (which may be a GEOMETRYCOLLECTION)
h	ST_GeometryN(geomCollection, n)	Returns the nth GEOMETRY of geomCollection
h	ST_InteriorRingN(geom)	Returns the nth interior ring of geom, or null if geom is not a polygon
h	ST_IsClosed(geom)	Returns whether geom is a closed LINESTRING or MULTILINESTRING
o	ST_IsEmpty(geom)	Returns whether geom is empty
o	ST_IsRectangle(geom)	Returns whether geom is a rectangle
h	ST_IsRing(geom)	Returns whether geom is a closed and simple line-string or MULTILINESTRING
o	ST_IsSimple(geom)	Returns whether geom is simple
o	ST_IsValid(geom)	Returns whether geom is valid
h	ST_NPoints(geom)	Returns the number of points in geom
h	ST_NumGeometries(geom)	Returns the number of geometries in geom (1 if it is not a GEOMETRYCOLLECTION)
h	ST_NumInteriorRing(geom)	Synonym for ST_NumInteriorRings
h	ST_NumInteriorRings(geom)	Returns the number of interior rings of geom
h	ST_NumPoints(geom)	Returns the number of points in geom
p	ST_PointN(geom, n)	Returns the nth point of a geom
p	ST_PointOnSurface(geom)	Returns an interior or boundary point of geom
o	ST_SRID(geom)	Returns SRID value of geom or 0 if it does not have one
p	ST_StartPoint(geom)	Returns the first point of geom
o	ST_X(geom)	Returns the x-value of the first coordinate of geom
o	ST_XMax(geom)	Returns the maximum x-value of geom
o	ST_XMin(geom)	Returns the minimum x-value of geom
o	ST_Y(geom)	Returns the y-value of the first coordinate of geom
o	ST_YMax(geom)	Returns the maximum y-value of geom
o	ST_YMin(geom)	Returns the minimum y-value of geom

Not implemented:

• ST_CompactnessRatio(polygon) Returns the square root of polygon’s area divided by the area of the circle with circumference equal to its perimeter
• ST_Explode(query [, fieldName]) Explodes the GEOMETRYCOLLECTIONs in the fieldName column of a query into multiple geometries
• ST_IsValidDetail(geom [, selfTouchValid ]) Returns a valid detail as an array of objects
• ST_IsValidReason(geom [, selfTouchValid ]) Returns text stating whether geom is valid, and if not valid, a reason why

Geometry properties (3D)

C	Operator syntax	Description
p	ST_Is3D(s)	Returns whether geom has at least one z-coordinate
o	ST_Z(geom)	Returns the z-value of the first coordinate of geom
o	ST_ZMax(geom)	Returns the maximum z-value of geom
o	ST_ZMin(geom)	Returns the minimum z-value of geom

Geometry predicates

C	Operator syntax	Description
o	ST_Contains(geom1, geom2)	Returns whether geom1 contains geom2
p	ST_ContainsProperly(geom1, geom2)	Returns whether geom1 contains geom2 but does not intersect its boundary
p	ST_CoveredBy(geom1, geom2)	Returns whether no point in geom1 is outside geom2.
p	ST_Covers(geom1, geom2)	Returns whether no point in geom2 is outside geom1
o	ST_Crosses(geom1, geom2)	Returns whether geom1 crosses geom2
o	ST_Disjoint(geom1, geom2)	Returns whether geom1 and geom2 are disjoint
p	ST_DWithin(geom1, geom2, distance)	Returns whether geom1 and geom are within distance of one another
o	ST_EnvelopesIntersect(geom1, geom2)	Returns whether the envelope of geom1 intersects the envelope of geom2
o	ST_Equals(geom1, geom2)	Returns whether geom1 equals geom2
o	ST_Intersects(geom1, geom2)	Returns whether geom1 intersects geom2
o	ST_Overlaps(geom1, geom2)	Returns whether geom1 overlaps geom2
o	ST_Relate(geom1, geom2)	Returns the DE-9IM intersection matrix of geom1 and geom2
o	ST_Relate(geom1, geom2, iMatrix)	Returns whether geom1 and geom2 are related by the given intersection matrix iMatrix
o	ST_Touches(geom1, geom2)	Returns whether geom1 touches geom2
o	ST_Within(geom1, geom2)	Returns whether geom1 is within geom2

Not implemented:

• ST_OrderingEquals(geom1, geom2) Returns whether geom1 equals geom2 and their coordinates and component Geometries are listed in the same order

Geometry operators (2D)

The following functions combine 2D geometries.

C	Operator syntax	Description
p	ST_Buffer(geom, distance [, quadSegs, endCapStyle ])	Computes a buffer around geom
p	ST_Buffer(geom, distance [, bufferStyle ])	Computes a buffer around geom
o	ST_ConvexHull(geom)	Computes the smallest convex polygon that contains all the points in geom
o	ST_Difference(geom1, geom2)	Computes the difference between two geometries
o	ST_SymDifference(geom1, geom2)	Computes the symmetric difference between two geometries
o	ST_Intersection(geom1, geom2)	Computes the intersection of geom1 and geom2
p	ST_OffsetCurve(geom, distance, bufferStyle)	Computes an offset line for linestring
o	ST_Union(geom1, geom2)	Computes the union of geom1 and geom2
o	ST_Union(geomCollection)	Computes the union of the geometries in geomCollection

See also: the ST_Union aggregate function.

Affine transformation functions (3D and 2D)

The following functions transform 2D geometries.

C	Operator syntax	Description
o	ST_Rotate(geom, angle [, origin | x, y])	Rotates a geom counter-clockwise by angle (in radians) about origin (or the point (x, y))
o	ST_Scale(geom, xFactor, yFactor)	Scales geom by multiplying the ordinates by the indicated scale factors
o	ST_Translate(geom, x, y)	Translates geom by the vector (x, y)

Not implemented:

• ST_Scale(geom, xFactor, yFactor [, zFactor ]) Scales geom by multiplying the ordinates by the indicated scale factors
• ST_Translate(geom, x, y, [, z]) Translates geom

Geometry editing functions (2D)

The following functions modify 2D geometries.

C	Operator syntax	Description
p	ST_AddPoint(linestring, point [, index])	Adds point to linestring at a given index (or at the end if index is not specified)
h	ST_Densify(geom, tolerance)	Densifies a geom by inserting extra vertices along the line segments
h	ST_FlipCoordinates(geom)	Flips the X and Y coordinates of the geom
h	ST_Holes(geom)	Returns the holes in the geom (which may be a GEOMETRYCOLLECTION)
h	ST_Normalize(geom)	Converts the geom to normal form
p	ST_RemoveRepeatedPoints(geom [, tolerance])	Removes duplicated coordinates from the geom
h	ST_RemoveHoles(geom)	Removes the holes of the geom
p	ST_RemovePoint(linestring, index)	Remove point at given index in linestring
h	ST_Reverse(geom)	Reverses the order of the coordinates of the geom

Not implemented:

• ST_CollectionExtract(geom, dimension) Filters geom, returning a multi-geometry of those members with a given dimension (1 = point, 2 = line-string, 3 = polygon)

Geometry editing functions (3D)

The following functions modify 3D geometries.

C	Operator syntax	Description
h	ST_AddZ(geom, zToAdd)	Adds zToAdd to the z-coordinate of geom

Not implemented:

• ST_Interpolate3DLine(geom) Returns geom with an interpolation of z values, or null if it is not a line-string or MULTILINESTRING
• ST_MultiplyZ(geom, zFactor) Returns geom with its z-values multiplied by zFactor
• ST_Reverse3DLine(geom [, sortOrder ]) Potentially reverses geom according to the z-values of its first and last coordinates
• ST_UpdateZ(geom, newZ [, updateCondition ]) Updates the z-values of geom
• ST_ZUpdateLineExtremities(geom, startZ, endZ [, interpolate ]) Updates the start and end z-values of geom

Geometry measurement functions (2D)

The following functions measure geometries.

C	Operator syntax	Description
o	ST_Area(geom)	Returns the area of geom (which may be a GEOMETRYCOLLECTION)
h	ST_ClosestCoordinate(point, geom)	Returns the coordinate(s) of geom closest to point
h	ST_ClosestPoint(geom1, geom2)	Returns the point of geom1 closest to geom2
h	ST_FurthestCoordinate(geom, point)	Returns the coordinate(s) of geom that are furthest from point
h	ST_Length(geom)	Returns the length of geom
h	ST_LocateAlong(geom, segmentLengthFraction, offsetDistance)	Returns a MULTIPOINT containing points along the line segments of geom at segmentLengthFraction and offsetDistance
h	ST_LongestLine(geom1, geom2)	Returns the 2-dimensional longest line-string between the points of geom1 and geom2
h	ST_MaxDistance(geom1, geom2)	Computes the maximum distance between geom1 and geom2
h	ST_Perimeter(polygon)	Returns the length of the perimeter of polygon (which may be a MULTIPOLYGON)
h	ST_ProjectPoint(point, lineString)	Projects point onto a lineString (which may be a MULTILINESTRING)

Geometry measurement functions (3D)

Not implemented:

• ST_3DArea(geom) Return a polygon’s 3D area
• ST_3DLength(geom) Returns the 3D length of a line-string
• ST_3DPerimeter(geom) Returns the 3D perimeter of a polygon or MULTIPOLYGON
• ST_SunPosition(point [, timestamp ]) Computes the sun position at point and timestamp (now by default)

Geometry processing functions (2D)

The following functions process geometries.

C	Operator syntax	Description
o	ST_LineMerge(geom)	Merges a collection of linear components to form a line-string of maximal length
o	ST_MakeValid(geom)	Makes a valid geometry of a given invalid geometry
o	ST_Polygonize(geom)	Creates a MULTIPOLYGON from edges of geom
o	ST_PrecisionReducer(geom, n)	Reduces geom’s precision to n decimal places
o	ST_Simplify(geom, distance)	Simplifies geom using the Douglas-Peuker algorithm with a distance tolerance
o	ST_SimplifyPreserveTopology(geom, distance)	Simplifies geom, preserving its topology
o	ST_Snap(geom1, geom2, tolerance)	Snaps geom1 and geom2 together
p	ST_Split(geom, blade)	Splits geom by blade

Not implemented:

• ST_LineIntersector(geom1, geom2) Splits geom1 (a line-string) with geom2
• ST_LineMerge(geom) Merges a collection of linear components to form a line-string of maximal length
• ST_MakeValid(geom [, preserveGeomDim [, preserveDuplicateCoord [, preserveCoordDim]]]) Makes geom valid
• ST_RingSideBuffer(geom, distance, bufferCount [, endCapStyle [, doDifference]]) Computes a ring buffer on one side
• ST_SideBuffer(geom, distance [, bufferStyle ]) Compute a single buffer on one side

Geometry projection functions

The EPSG dataset is released separately from Proj4J due to its restrictive terms of use. In order to use the projection functions in Apache Calcite, users must include the EPSG dataset in their dependencies.

C	Operator syntax	Description
o	ST_SetSRID(geom, srid)	Returns a copy of geom with a new SRID
o	ST_Transform(geom, srid)	Transforms geom from one coordinate reference system (CRS) to the CRS specified by srid

Trigonometry functions

Not implemented:

• ST_Azimuth(point1, point2) Return the azimuth of the segment from point1 to point2

Topography functions

Not implemented:

• ST_TriangleAspect(geom) Returns the aspect of a triangle
• ST_TriangleContouring(query [, z1, z2, z3 ][, varArgs ]*) Splits triangles into smaller triangles according to classes
• ST_TriangleDirection(geom) Computes the direction of steepest ascent of a triangle and returns it as a line-string
• ST_TriangleSlope(geom) Computes the slope of a triangle as a percentage
• ST_Voronoi(geom [, outDimension [, envelopePolygon ]]) Creates a Voronoi diagram

Triangulation functions

C	Operator syntax	Description
h	ST_ConstrainedDelaunay(geom [, flag])	Computes a constrained Delaunay triangulation based on geom
h	ST_Delaunay(geom [, flag])	Computes a Delaunay triangulation based on points in geom

Not implemented:

• ST_Tessellate(polygon) Tessellates polygon (may be MULTIPOLYGON) with adaptive triangles

Geometry aggregate functions

C	Operator syntax	Description
h	ST_Accum(geom)	Accumulates geom into an array
h	ST_Collect(geom)	Collects geom into a GeometryCollection
h	ST_Union(geom)	Computes the union of the geometries in geom

JSON Functions

In the following:

• jsonValue is a character string containing a JSON value;
• path is a character string containing a JSON path expression; mode flag strict or lax should be specified in the beginning of path.

Query Functions

Operator syntax	Description
JSON_EXISTS(jsonValue, path [ { TRUE | FALSE | UNKNOWN | ERROR } ON ERROR ] )	Whether a jsonValue satisfies a search criterion described using JSON path expression path
JSON_VALUE(jsonValue, path [ RETURNING type ] [ { ERROR | NULL | DEFAULT expr } ON EMPTY ] [ { ERROR | NULL | DEFAULT expr } ON ERROR ] )	Extract an SQL scalar from a jsonValue using JSON path expression path
JSON_QUERY(jsonValue, path [ { WITHOUT [ ARRAY ] | WITH [ CONDITIONAL | UNCONDITIONAL ] [ ARRAY ] } WRAPPER ] [ { ERROR | NULL | EMPTY ARRAY | EMPTY OBJECT } ON EMPTY ] [ { ERROR | NULL | EMPTY ARRAY | EMPTY OBJECT } ON ERROR ] )	Extract a JSON object or JSON array from jsonValue using the path JSON path expression

Note:

• The ON ERROR and ON EMPTY clauses define the fallback behavior of the function when an error is thrown or a null value is about to be returned.
• The ARRAY WRAPPER clause defines how to represent a JSON array result in JSON_QUERY function. The following examples compare the wrapper behaviors.

Example Data:

{"a": "[1,2]", "b": [1,2], "c": "hi"}

Comparison:

Operator	$.a	$.b	$.c
JSON_VALUE	[1, 2]	error	hi
JSON QUERY WITHOUT ARRAY WRAPPER	error	[1, 2]	error
JSON QUERY WITH UNCONDITIONAL ARRAY WRAPPER	[ “[1,2]” ]	[ [1,2] ]	[ “hi” ]
JSON QUERY WITH CONDITIONAL ARRAY WRAPPER	[ “[1,2]” ]	[1,2]	[ “hi” ]

Not implemented:

• JSON_TABLE

Constructor Functions

Operator syntax	Description
JSON_OBJECT( jsonKeyVal [, jsonKeyVal ]* [ nullBehavior ] )	Construct JSON object using a series of key-value pairs
JSON_OBJECTAGG( jsonKeyVal [ nullBehavior ] )	Aggregate function to construct a JSON object using a key-value pair
JSON_ARRAY( [ jsonVal [, jsonVal ]* ] [ nullBehavior ] )	Construct a JSON array using a series of values
JSON_ARRAYAGG( jsonVal [ ORDER BY orderItem [, orderItem ]* ] [ nullBehavior ] )	Aggregate function to construct a JSON array using a value

jsonKeyVal:
      [ KEY ] name VALUE value [ FORMAT JSON ]
  |   name : value [ FORMAT JSON ]

jsonVal:
      value [ FORMAT JSON ]

nullBehavior:
      NULL ON NULL
  |   ABSENT ON NULL

Note:

• The flag FORMAT JSON indicates the value is formatted as JSON character string. When FORMAT JSON is used, the value should be de-parse from JSON character string to a SQL structured value.
• ON NULL clause defines how the JSON output represents null values. The default null behavior of JSON_OBJECT and JSON_OBJECTAGG is NULL ON NULL, and for JSON_ARRAY and JSON_ARRAYAGG it is ABSENT ON NULL.
• If ORDER BY clause is provided, JSON_ARRAYAGG sorts the input rows into the specified order before performing aggregation.

Comparison Operators

Operator syntax	Description
jsonValue IS JSON [ VALUE ]	Whether jsonValue is a JSON value
jsonValue IS NOT JSON [ VALUE ]	Whether jsonValue is not a JSON value
jsonValue IS JSON SCALAR	Whether jsonValue is a JSON scalar value
jsonValue IS NOT JSON SCALAR	Whether jsonValue is not a JSON scalar value
jsonValue IS JSON OBJECT	Whether jsonValue is a JSON object
jsonValue IS NOT JSON OBJECT	Whether jsonValue is not a JSON object
jsonValue IS JSON ARRAY	Whether jsonValue is a JSON array
jsonValue IS NOT JSON ARRAY	Whether jsonValue is not a JSON array

Note:

• If the jsonValue is NULL, the function will return NULL.

Dialect-specific Operators

The following operators are not in the SQL standard, and are not enabled in Calcite’s default operator table. They are only available for use in queries if your session has enabled an extra operator table.

To enable an operator table, set the fun connect string parameter.

The ‘C’ (compatibility) column contains value:

• ‘*’ for all libraries,
• ‘b’ for Google BigQuery (‘fun=bigquery’ in the connect string),
• ‘c’ for Apache Calcite (‘fun=calcite’ in the connect string),
• ‘f’ for Snowflake (‘fun=snowflake’ in the connect string),
• ‘h’ for Apache Hive (‘fun=hive’ in the connect string),
• ‘m’ for MySQL (‘fun=mysql’ in the connect string),
• ‘q’ for Microsoft SQL Server (‘fun=mssql’ in the connect string),
• ‘o’ for Oracle (‘fun=oracle’ in the connect string),
• ‘p’ for PostgreSQL (‘fun=postgresql’ in the connect string),
• ‘r’ for Amazon RedShift (‘fun=redshift’ in the connect string),
• ’s’ for Apache Spark (‘fun=spark’ in the connect string).

One operator name may correspond to multiple SQL dialects, but with different semantics.

BigQuery’s type system uses confusingly different names for types and functions:

• BigQuery’s DATETIME type represents a local date time, and corresponds to Calcite’s TIMESTAMP type;
• BigQuery’s TIMESTAMP type represents an instant, and corresponds to Calcite’s TIMESTAMP WITH LOCAL TIME ZONE type;
• The timestampLtz parameter, for instance in DATE(timestampLtz), has Calcite type TIMESTAMP WITH LOCAL TIME ZONE;
• The TIMESTAMP(string) function, designed to be compatible the BigQuery function, return a Calcite TIMESTAMP WITH LOCAL TIME ZONE;
• Similarly, DATETIME(string) returns a Calcite TIMESTAMP.

In the following:

• func is a lambda argument.

C	Operator syntax	Description
p	expr :: type	Casts expr to type
m	expr1 <=> expr2	Whether two values are equal, treating null values as the same, and it’s similar to IS NOT DISTINCT FROM
p	ACOSD(numeric)	Returns the inverse cosine of numeric in degrees as a double. Returns NaN if numeric is NaN. Fails if numeric is less than -1.0 or greater than 1.0.
*	ACOSH(numeric)	Returns the inverse hyperbolic cosine of numeric
o s	ADD_MONTHS(date, numMonths)	Returns the date that is numMonths after date
s	ARRAY([expr [, expr ]*])	Construct an array in Apache Spark. The function allows users to use ARRAY() to create an empty array
s	ARRAY_APPEND(array, element)	Appends an element to the end of the array and returns the result. Type of element should be similar to type of the elements of the array. If the array is null, the function will return null. If an element that is null, the null element will be added to the end of the array
s	ARRAY_COMPACT(array)	Removes null values from the array
b	ARRAY_CONCAT(array [, array ]*)	Concatenates one or more arrays. If any input argument is NULL the function returns NULL
s	ARRAY_CONTAINS(array, element)	Returns true if the array contains the element
s	ARRAY_DISTINCT(array)	Removes duplicate values from the array that keeps ordering of elements
s	ARRAY_EXCEPT(array1, array2)	Returns an array of the elements in array1 but not in array2, without duplicates
s	ARRAY_INSERT(array, pos, element)	Places element into index pos of array. Array index start at 1, or start from the end if index is negative. Index above array size appends the array, or prepends the array if index is negative, with NULL elements.
s	ARRAY_INTERSECT(array1, array2)	Returns an array of the elements in the intersection of array1 and array2, without duplicates
s	ARRAY_JOIN(array, delimiter [, nullText ])	Synonym for ARRAY_TO_STRING
b	ARRAY_LENGTH(array)	Synonym for CARDINALITY
s	ARRAY_MAX(array)	Returns the maximum value in the array
s	ARRAY_MIN(array)	Returns the minimum value in the array
s	ARRAY_POSITION(array, element)	Returns the (1-based) index of the first element of the array as long
s	ARRAY_REMOVE(array, element)	Remove all elements that equal to element from the array
s	ARRAY_PREPEND(array, element)	Appends an element to the beginning of the array and returns the result. Type of element should be similar to type of the elements of the array. If the array is null, the function will return null. If an element that is null, the null element will be added to the beginning of the array
s	ARRAY_REPEAT(element, count)	Returns the array containing element count times.
b	ARRAY_REVERSE(array)	Reverses elements of array
s	ARRAY_SIZE(array)	Synonym for CARDINALITY
b	ARRAY_TO_STRING(array, delimiter [, nullText ])	Returns a concatenation of the elements in array as a STRING and take delimiter as the delimiter. If the nullText parameter is used, the function replaces any NULL values in the array with the value of nullText. If the nullText parameter is not used, the function omits the NULL value and its preceding delimiter. Returns NULL if any argument is NULL
s	ARRAY_UNION(array1, array2)	Returns an array of the elements in the union of array1 and array2, without duplicates
s	ARRAYS_OVERLAP(array1, array2)	Returns true if array1 contains at least a non-null element present also in *array2. If the arrays have no common element and they are both non-empty and either of them contains a null element null is returned, false otherwise
s	ARRAYS_ZIP(array [, array ]*)	Returns a merged array of structs in which the N-th struct contains all N-th values of input arrays
s	SORT_ARRAY(array [, ascendingOrder])	Sorts the array in ascending or descending order according to the natural ordering of the array elements. The default order is ascending if ascendingOrder is not specified. Null elements will be placed at the beginning of the returned array in ascending order or at the end of the returned array in descending order
p	ASIND(numeric)	Returns the inverse sine of numeric in degrees as a double. Returns NaN if numeric is NaN. Fails if numeric is less than -1.0 or greater than 1.0.
*	ASINH(numeric)	Returns the inverse hyperbolic sine of numeric
p	ATAND(numeric)	Returns the inverse tangent of numeric in degrees as a double. Returns NaN if numeric is NaN.
*	ATANH(numeric)	Returns the inverse hyperbolic tangent of numeric
*	BITAND(value1, value2)	Returns the bitwise AND of value1 and value2. value1 and value2 must both be integer or binary values. Binary values must be of the same length.
*	BITOR(value1, value2)	Returns the bitwise OR of value1 and value2. value1 and value2 must both be integer or binary values. Binary values must be of the same length.
*	BITXOR(value1, value2)	Returns the bitwise XOR of value1 and value2. value1 and value2 must both be integer or binary values. Binary values must be of the same length.
*	BITNOT(value)	Returns the bitwise NOT of value. value must be either an integer type or a binary value.
f	BITAND_AGG(value)	Equivalent to BIT_AND(value)
f	BITOR_AGG(value)	Equivalent to BIT_OR(value)
*	BITCOUNT(value)	Returns the bitwise COUNT of value or NULL if value is NULL. value must be and integer or binary value.
b s	BIT_COUNT(integer)	Returns the bitwise COUNT of integer or NULL if integer is NULL
m	BIT_COUNT(numeric)	Returns the bitwise COUNT of the integer portion of numeric or NULL if numeric is NULL
b m s	BIT_COUNT(binary)	Returns the bitwise COUNT of binary or NULL if binary is NULL
s	BIT_LENGTH(binary)	Returns the bit length of binary
s	BIT_LENGTH(string)	Returns the bit length of string
s	BIT_GET(value, position)	Returns the bit (0 or 1) value at the specified position of numeric value. The positions are numbered from right to left, starting at zero. The position argument cannot be negative
b	CEIL(value)	Similar to standard CEIL(value) except if value is an integer type, the return type is a double
m s	CHAR(integer)	Returns the character whose ASCII code is integer % 256, or null if integer < 0
b o p r	CHR(integer)	Returns the character whose UTF-8 code is integer
b	CODE_POINTS_TO_BYTES(integers)	Converts integers, an array of integers between 0 and 255 inclusive, into bytes; throws error if any element is out of range
b	CODE_POINTS_TO_STRING(integers)	Converts integers, an array of integers between 0 and 0xD7FF or between 0xE000 and 0x10FFFF inclusive, into string; throws error if any element is out of range
o r	CONCAT(string, string)	Concatenates two strings, returns null only when both string arguments are null, otherwise treats null as empty string
b m	CONCAT(string [, string ]*)	Concatenates one or more strings, returns null if any of the arguments is null
p q	CONCAT(string [, string ]*)	Concatenates one or more strings, null is treated as empty string
m	CONCAT_WS(separator, str1 [, string ]*)	Concatenates one or more strings, returns null only when separator is null, otherwise treats null arguments as empty strings
p	CONCAT_WS(separator, any [, any ]*)	Concatenates all but the first argument, returns null only when separator is null, otherwise treats null arguments as empty strings
q	CONCAT_WS(separator, str1, str2 [, string ]*)	Concatenates two or more strings, requires at least 3 arguments (up to 254), treats null arguments as empty strings
s	CONCAT_WS(separator [, string	array(string)]*)	Concatenates one or more strings or arrays. Besides the separator, other arguments can include strings or string arrays. returns null only when separator is null, treats other null arguments as empty strings
m	COMPRESS(string)	Compresses a string using zlib compression and returns the result as a binary string
b	CONTAINS_SUBSTR(expression, string [ , json_scope => json_scope_value ])	Returns whether string exists as a substring in expression. Optional json_scope argument specifies what scope to search if expression is in JSON format. Returns NULL if a NULL exists in expression that does not result in a match
q	CONVERT(type, expression [ , style ])	Equivalent to CAST(expression AS type); ignores the style operand
p r	CONVERT_TIMEZONE(tz1, tz2, datetime)	Converts the timezone of datetime from tz1 to tz2
p	COSD(numeric)	Returns the cosine of numeric in degrees as a double. Returns NaN if numeric is NaN. Fails if numeric is greater than the maximum double value.
*	COSH(numeric)	Returns the hyperbolic cosine of numeric
*	COTH(numeric)	Returns the hyperbolic cotangent of numeric
*	CSC(numeric)	Returns the cosecant of numeric in radians
*	CSCH(numeric)	Returns the hyperbolic cosecant of numeric
b	CURRENT_DATETIME([ timeZone ])	Returns the current time as a TIMESTAMP from timezone
m	DAYNAME(datetime)	Returns the name, in the connection’s locale, of the weekday in datetime; for example, it returns ‘星期日’ for both DATE ‘2020-02-10’ and TIMESTAMP ‘2020-02-10 10:10:10’
b	DATE(timestamp)	Extracts the DATE from a timestamp
b	DATE(timestampLtz)	Extracts the DATE from timestampLtz (an instant; BigQuery’s TIMESTAMP type), assuming UTC
b	DATE(timestampLtz, timeZone)	Extracts the DATE from timestampLtz (an instant; BigQuery’s TIMESTAMP type) in timeZone
b	DATE(string)	Equivalent to CAST(string AS DATE)
b	DATE(year, month, day)	Returns a DATE value for year, month, and day (all of type INTEGER)
p q r	DATEADD(timeUnit, integer, datetime)	Equivalent to TIMESTAMPADD(timeUnit, integer, datetime)
p q r	DATEDIFF(timeUnit, datetime, datetime2)	Equivalent to TIMESTAMPDIFF(timeUnit, datetime, datetime2)
q	DATEPART(timeUnit, datetime)	Equivalent to EXTRACT(timeUnit FROM datetime)
b	DATETIME(date, time)	Converts date and time to a TIMESTAMP
b	DATETIME(date)	Converts date to a TIMESTAMP value (at midnight)
b	DATETIME(date, timeZone)	Converts date to a TIMESTAMP value (at midnight), in timeZone
b	DATETIME(year, month, day, hour, minute, second)	Creates a TIMESTAMP for year, month, day, hour, minute, second (all of type INTEGER)
b	DATETIME_ADD(timestamp, interval)	Returns the TIMESTAMP value that occurs interval after timestamp
b	DATETIME_DIFF(timestamp, timestamp2, timeUnit)	Returns the whole number of timeUnit between timestamp and timestamp2
b	DATETIME_SUB(timestamp, interval)	Returns the TIMESTAMP that occurs interval before timestamp
b	DATETIME_TRUNC(timestamp, timeUnit)	Truncates timestamp to the granularity of timeUnit, rounding to the beginning of the unit
b s	DATE_FROM_UNIX_DATE(integer)	Returns the DATE that is integer days after 1970-01-01
p r	DATE_PART(timeUnit, datetime)	Equivalent to EXTRACT(timeUnit FROM datetime)
b	DATE_ADD(date, interval)	Returns the DATE value that occurs interval after date
s	DATE_ADD(date, numDays)	Returns the DATE that is numDays after date
b	DATE_DIFF(date, date2, timeUnit)	Returns the whole number of timeUnit between date and date2
b	DATE_SUB(date, interval)	Returns the DATE value that occurs interval before date
b	DATE_TRUNC(date, timeUnit)	Truncates date to the granularity of timeUnit, rounding to the beginning of the unit
o r s	DECODE(value, value1, result1 [, valueN, resultN ]* [, default ])	Compares value to each valueN value one by one; if value is equal to a valueN, returns the corresponding resultN, else returns default, or NULL if default is not specified
p r	DIFFERENCE(string, string)	Returns a measure of the similarity of two strings, namely the number of character positions that their SOUNDEX values have in common: 4 if the SOUNDEX values are same and 0 if the SOUNDEX values are totally different
f s	ENDSWITH(string1, string2)	Returns whether string2 is a suffix of string1
b	ENDS_WITH(string1, string2)	Equivalent to ENDSWITH(string1, string2)
s	EXISTS(array, func)	Returns whether a predicate func holds for one or more elements in the array
o	EXISTSNODE(xml, xpath, [, namespaces ])	Determines whether traversal of a XML document using a specified xpath results in any nodes. Returns 0 if no nodes remain after applying the XPath traversal on the document fragment of the element or elements matched by the XPath expression. Returns 1 if any nodes remain. The optional namespace value that specifies a default mapping or namespace mapping for prefixes, which is used when evaluating the XPath expression.
o	EXTRACT(xml, xpath, [, namespaces ])	Returns the XML fragment of the element or elements matched by the XPath expression. The optional namespace value that specifies a default mapping or namespace mapping for prefixes, which is used when evaluating the XPath expression
m	EXTRACTVALUE(xml, xpathExpr))	Returns the text of the first text node which is a child of the element or elements matched by the XPath expression.
h s	FACTORIAL(integer)	Returns the factorial of integer, the range of integer is [0, 20]. Otherwise, returns NULL
h s	FIND_IN_SET(matchStr, textStr)	Returns the index (1-based) of the given matchStr in the comma-delimited textStr. Returns 0, if the given matchStr is not found or if the matchStr contains a comma. For example, FIND_IN_SET(‘bc’, ‘a,bc,def’) returns 2
b	FLOOR(value)	Similar to standard FLOOR(value) except if value is an integer type, the return type is a double
b	FORMAT_DATE(string, date)	Formats date according to the specified format string
b	FORMAT_DATETIME(string, timestamp)	Formats timestamp according to the specified format string
h s	FORMAT_NUMBER(value, decimalVal)	Formats the number value like ‘#,###,###.##’, rounded to decimal places decimalVal. If decimalVal is 0, the result has no decimal point or fractional part
h s	FORMAT_NUMBER(value, format)	Formats the number value to MySQL’s FORMAT format, like ‘#,###,###.##0.00’
b	FORMAT_TIME(string, time)	Formats time according to the specified format string
b	FORMAT_TIMESTAMP(string timestamp)	Formats timestamp according to the specified format string
s	GETBIT(value, position)	Equivalent to BIT_GET(value, position)
b o p r s	GREATEST(expr [, expr ]*)	Returns the greatest of the expressions
b h s	IF(condition, value1, value2)	Returns value1 if condition is TRUE, value2 otherwise
b s	IFNULL(value1, value2)	Equivalent to NVL(value1, value2)
p	string1 ILIKE string2 [ ESCAPE string3 ]	Whether string1 matches pattern string2, ignoring case (similar to LIKE)
p	string1 NOT ILIKE string2 [ ESCAPE string3 ]	Whether string1 does not match pattern string2, ignoring case (similar to NOT LIKE)
b o	INSTR(string, substring [, from [, occurrence ] ])	Returns the position of substring in string, searching starting at from (default 1), and until locating the nth occurrence (default 1) of substring
b m o	INSTR(string, substring)	Equivalent to POSITION(substring IN string)
b	IS_INF(value)	Returns whether value is infinite
b	IS_NAN(value)	Returns whether value is NaN
m	JSON_TYPE(jsonValue)	Returns a string value indicating the type of jsonValue
m	JSON_DEPTH(jsonValue)	Returns an integer value indicating the depth of jsonValue
m	JSON_PRETTY(jsonValue)	Returns a pretty-printing of jsonValue
m	JSON_LENGTH(jsonValue [, path ])	Returns a integer indicating the length of jsonValue
m	JSON_INSERT(jsonValue, path, val [, path, val ]*)	Returns a JSON document insert a data of jsonValue, path, val
m	JSON_KEYS(jsonValue [, path ])	Returns a string indicating the keys of a JSON jsonValue
m	JSON_REMOVE(jsonValue, path [, path ])	Removes data from jsonValue using a series of path expressions and returns the result
m	JSON_REPLACE(jsonValue, path, val [, path, val ]*)	Returns a JSON document replace a data of jsonValue, path, val
m	JSON_SET(jsonValue, path, val [, path, val ]*)	Returns a JSON document set a data of jsonValue, path, val
m	JSON_STORAGE_SIZE(jsonValue)	Returns the number of bytes used to store the binary representation of jsonValue
b o p r s	LEAST(expr [, expr ]* )	Returns the least of the expressions
b m p r s	LEFT(string, length)	Returns the leftmost length characters from the string
f r s	LEN(string)	Equivalent to CHAR_LENGTH(string)
b f h p r s	LENGTH(string)	Equivalent to CHAR_LENGTH(string)
h s	LEVENSHTEIN(string1, string2)	Returns the Levenshtein distance between string1 and string2
b	LOG(numeric1 [, base ])	Returns the logarithm of numeric1 to base base, or base e if base is not present, or error if numeric1 is 0 or negative
m s	LOG([, base ], numeric1)	Returns the logarithm of numeric1 to base base, or base e if base is not present, or null if numeric1 is 0 or negative
p	LOG([, base ], numeric1 )	Returns the logarithm of numeric1 to base base, or base 10 if numeric1 is not present, or error if numeric1 is 0 or negative
m s	LOG2(numeric)	Returns the base 2 logarithm of numeric
s	LOG1P(numeric)	Returns the natural logarithm of 1 plus numeric
b o p r s	LPAD(string, length [, pattern ])	Returns a string or bytes value that consists of string prepended to length with pattern
b	TO_BASE32(string)	Converts the string to base-32 encoded form and returns an encoded string
b	FROM_BASE32(string)	Returns the decoded result of a base-32 string as a string
m	TO_BASE64(string)	Converts the string to base-64 encoded form and returns a encoded string
b m	FROM_BASE64(string)	Returns the decoded result of a base-64 string as a string
b	TO_HEX(binary)	Converts binary into a hexadecimal varchar
b	FROM_HEX(varchar)	Converts a hexadecimal-encoded varchar into bytes
b o p r s	LTRIM(string)	Returns string with all blanks removed from the start
s	MAP()	Returns an empty map
s	MAP(key, value [, key, value]*)	Returns a map with the given key/value pairs
s	MAP_CONCAT(map [, map]*)	Concatenates one or more maps. If any input argument is NULL the function returns NULL. Note that calcite is using the LAST_WIN strategy
s	MAP_CONTAINS_KEY(map, key)	Returns whether map contains key
s	MAP_ENTRIES(map)	Returns the entries of the map as an array, the order of the entries is not defined
s	MAP_KEYS(map)	Returns the keys of the map as an array, the order of the entries is not defined
s	MAP_VALUES(map)	Returns the values of the map as an array, the order of the entries is not defined
s	MAP_FROM_ARRAYS(array1, array2)	Returns a map created from an array1 and array2. Note that the lengths of two arrays should be the same and calcite is using the LAST_WIN strategy
s	MAP_FROM_ENTRIES(arrayOfRows)	Returns a map created from an arrays of row with two fields. Note that the number of fields in a row must be 2. Note that calcite is using the LAST_WIN strategy
s	STR_TO_MAP(string [, stringDelimiter [, keyValueDelimiter]])	Returns a map after splitting the string into key/value pairs using delimiters. Default delimiters are ‘,’ for stringDelimiter and ‘:’ for keyValueDelimiter. Note that calcite is using the LAST_WIN strategy
s	SUBSTRING_INDEX(string, delim, count)	Returns the substring from string before count occurrences of the delimiter delim. If count is positive, everything to the left of the final delimiter (counting from the left) is returned. If count is negative, everything to the right of the final delimiter (counting from the right) is returned. The function substring_index performs a case-sensitive match when searching for delim.
b m p r s	MD5(string)	Calculates an MD5 128-bit checksum of string and returns it as a hex string
m	MONTHNAME(date)	Returns the name, in the connection’s locale, of the month in datetime; for example, it returns ‘二月’ for both DATE ‘2020-02-10’ and TIMESTAMP ‘2020-02-10 10:10:10’
o r s	NVL(value1, value2)	Returns value1 if value1 is not null, otherwise value2
o r s	NVL2(value1, value2, value3)	Returns value2 if value1 is not null, otherwise value3
b	OFFSET(index)	When indexing an array, wrapping index in OFFSET returns the value at the 0-based index; throws error if index is out of bounds
b	ORDINAL(index)	Similar to OFFSET except index begins at 1
b	PARSE_DATE(format, string)	Uses format specified by format to convert string representation of date to a DATE value
b	PARSE_DATETIME(format, string)	Uses format specified by format to convert string representation of datetime to a TIMESTAMP value
b	PARSE_TIME(format, string)	Uses format specified by format to convert string representation of time to a TIME value
b	PARSE_TIMESTAMP(format, string[, timeZone])	Uses format specified by format to convert string representation of timestamp to a TIMESTAMP WITH LOCAL TIME ZONE value in timeZone
h s	PARSE_URL(urlString, partToExtract [, keyToExtract] )	Returns the specified partToExtract from the urlString. Valid values for partToExtract include HOST, PATH, QUERY, REF, PROTOCOL, AUTHORITY, FILE, and USERINFO. keyToExtract specifies which query to extract
b s	POW(numeric1, numeric2)	Returns numeric1 raised to the power numeric2
b c h q m o f s p r	POWER(numeric1, numeric2)	Returns numeric1 raised to the power of numeric2
p r	RANDOM()	Generates a random double between 0 and 1 inclusive
s	REGEXP(string, regexp)	Equivalent to string1 RLIKE string2
b	REGEXP_CONTAINS(string, regexp)	Returns whether string is a partial match for the regexp
b	REGEXP_EXTRACT(string, regexp [, position [, occurrence]])	Returns the substring in string that matches the regexp, starting search at position (default 1), and until locating the nth occurrence (default 1). Returns NULL if there is no match
b	REGEXP_EXTRACT_ALL(string, regexp)	Returns an array of all substrings in string that matches the regexp. Returns an empty array if there is no match
b	REGEXP_INSTR(string, regexp [, position [, occurrence [, occurrence_position]]])	Returns the lowest 1-based position of the substring in string that matches the regexp, starting search at position (default 1), and until locating the nth occurrence (default 1). Setting occurrence_position (default 0) to 1 returns the end position of substring + 1. Returns 0 if there is no match
m o p r s	REGEXP_LIKE(string, regexp [, flags])	Equivalent to string1 RLIKE string2 with an optional parameter for search flags. Supported flags are: <ul><li>i: case-insensitive matching</li><li>c: case-sensitive matching</li><li>n: newline-sensitive matching</li><li>s: non-newline-sensitive matching</li><li>m: multi-line</li></ul>
r	REGEXP_REPLACE(string, regexp)	Replaces all substrings of string that match regexp with the empty string
b m o r	REGEXP_REPLACE(string, regexp, rep [, pos [, occurrence [, matchType]]])	Replaces all substrings of string that match regexp with rep at the starting pos in expr (if omitted, the default is 1), occurrence specifies which occurrence of a match to search for (if omitted, the default is 1), matchType specifies how to perform matching
p	REGEXP_REPLACE(string, regexp, rep [, matchType])	Replaces substrings of string that match regexp with rep at the starting pos in expr, matchType specifies how to perform matching and whether to only replace first match or all
b	REGEXP_SUBSTR(string, regexp [, position [, occurrence]])	Synonym for REGEXP_EXTRACT
b m p r s	REPEAT(string, integer)	Returns a string consisting of string repeated of integer times; returns an empty string if integer is less than 1
b m	REVERSE(string)	Returns string with the order of the characters reversed
s	REVERSE(string	array)	Returns string with the characters in reverse order or array with elements in reverse order
b m p r s	RIGHT(string, length)	Returns the rightmost length characters from the string
h m s	string1 RLIKE string2	Whether string1 matches regex pattern string2 (similar to LIKE, but uses Java regex)
h m s	string1 NOT RLIKE string2	Whether string1 does not match regex pattern string2 (similar to NOT LIKE, but uses Java regex)
b o p r s	RPAD(string, length[, pattern ])	Returns a string or bytes value that consists of string appended to length with pattern
b o p r s	RTRIM(string)	Returns string with all blanks removed from the end
b	SAFE_ADD(numeric1, numeric2)	Returns numeric1 + numeric2, or NULL on overflow. Arguments are implicitly cast to one of the types BIGINT, DOUBLE, or DECIMAL
b	SAFE_CAST(value AS type)	Converts value to type, returning NULL if conversion fails
b	SAFE_DIVIDE(numeric1, numeric2)	Returns numeric1 / numeric2, or NULL on overflow or if numeric2 is zero. Arguments implicitly are cast to one of the types BIGINT, DOUBLE, or DECIMAL
b	SAFE_MULTIPLY(numeric1, numeric2)	Returns numeric1 * numeric2, or NULL on overflow. Arguments are implicitly cast to one of the types BIGINT, DOUBLE, or DECIMAL
b	SAFE_NEGATE(numeric)	Returns numeric * -1, or NULL on overflow. Arguments are implicitly cast to one of the types BIGINT, DOUBLE, or DECIMAL
b	SAFE_OFFSET(index)	Similar to OFFSET except null is returned if index is out of bounds
b	SAFE_ORDINAL(index)	Similar to OFFSET except index begins at 1 and null is returned if index is out of bounds
b	SAFE_SUBTRACT(numeric1, numeric2)	Returns numeric1 - numeric2, or NULL on overflow. Arguments are implicitly cast to one of the types BIGINT, DOUBLE, or DECIMAL
*	SEC(numeric)	Returns the secant of numeric in radians
*	SECH(numeric)	Returns the hyperbolic secant of numeric
b m p r s	SHA1(string)	Calculates a SHA-1 hash value of string and returns it as a hex string
b p	SHA256(string)	Calculates a SHA-256 hash value of string and returns it as a hex string
b p	SHA512(string)	Calculates a SHA-512 hash value of string and returns it as a hex string
p	SIND(numeric)	Returns the sine of numeric in degrees as a double. Returns NaN if numeric is NaN. Fails if numeric is greater than the maximum double value.
*	SINH(numeric)	Returns the hyperbolic sine of numeric
b m o p r	SOUNDEX(string)	Returns the phonetic representation of string; throws if string is encoded with multi-byte encoding such as UTF-8
s	SOUNDEX(string)	Returns the phonetic representation of string; return original string if string is encoded with multi-byte encoding such as UTF-8
m s	SPACE(integer)	Returns a string of integer spaces; returns an empty string if integer is less than 1
b	SPLIT(string [, delimiter ])	Returns the string array of string split at delimiter (if omitted, default is comma). If the string is empty it returns an empty array, otherwise, if the delimiter is empty, it returns an array containing the original string.
f s	STARTSWITH(string1, string2)	Returns whether string2 is a prefix of string1
b p	STARTS_WITH(string1, string2)	Equivalent to STARTSWITH(string1, string2)
m	STRCMP(string, string)	Returns 0 if both of the strings are same and returns -1 when the first argument is smaller than the second and 1 when the second one is smaller than the first one
b r p	STRPOS(string, substring)	Equivalent to POSITION(substring IN string)
b m o p r	SUBSTR(string, position [, substringLength ])	Returns a portion of string, beginning at character position, substringLength characters long. SUBSTR calculates lengths using characters as defined by the input character set
p	TAND(numeric)	Returns the tangent of numeric in degrees as a double. Returns NaN if numeric is NaN. Fails if *numeric is greater than the maximum double value.
*	TANH(numeric)	Returns the hyperbolic tangent of numeric
b	TIME(hour, minute, second)	Returns a TIME value hour, minute, second (all of type INTEGER)
b	TIME(timestamp)	Extracts the TIME from timestamp (a local time; BigQuery’s DATETIME type)
b	TIME(instant)	Extracts the TIME from timestampLtz (an instant; BigQuery’s TIMESTAMP type), assuming UTC
b	TIME(instant, timeZone)	Extracts the time from timestampLtz (an instant; BigQuery’s TIMESTAMP type), in timeZone
b	TIMESTAMP(string)	Equivalent to CAST(string AS TIMESTAMP WITH LOCAL TIME ZONE)
b	TIMESTAMP(string, timeZone)	Equivalent to CAST(string AS TIMESTAMP WITH LOCAL TIME ZONE), converted to timeZone
b	TIMESTAMP(date)	Converts date to a TIMESTAMP WITH LOCAL TIME ZONE value (at midnight)
b	TIMESTAMP(date, timeZone)	Converts date to a TIMESTAMP WITH LOCAL TIME ZONE value (at midnight), in timeZone
b	TIMESTAMP(timestamp)	Converts timestamp to a TIMESTAMP WITH LOCAL TIME ZONE, assuming a UTC
b	TIMESTAMP(timestamp, timeZone)	Converts timestamp to a TIMESTAMP WITH LOCAL TIME ZONE, in timeZone
b	TIMESTAMP_ADD(timestamp, interval)	Returns the TIMESTAMP value that occurs interval after timestamp
b	TIMESTAMP_DIFF(timestamp, timestamp2, timeUnit)	Returns the whole number of timeUnit between timestamp and timestamp2. Equivalent to TIMESTAMPDIFF(timeUnit, timestamp2, timestamp) and (timestamp - timestamp2) timeUnit
b s	TIMESTAMP_MICROS(integer)	Returns the TIMESTAMP that is integer microseconds after 1970-01-01 00:00:00
b s	TIMESTAMP_MILLIS(integer)	Returns the TIMESTAMP that is integer milliseconds after 1970-01-01 00:00:00
b s	TIMESTAMP_SECONDS(integer)	Returns the TIMESTAMP that is integer seconds after 1970-01-01 00:00:00
b	TIMESTAMP_SUB(timestamp, interval)	Returns the TIMESTAMP value that is interval before timestamp
b	TIMESTAMP_TRUNC(timestamp, timeUnit)	Truncates timestamp to the granularity of timeUnit, rounding to the beginning of the unit
b	TIME_ADD(time, interval)	Adds interval to time, independent of any time zone
b	TIME_DIFF(time, time2, timeUnit)	Returns the whole number of timeUnit between time and time2
b	TIME_SUB(time, interval)	Returns the TIME value that is interval before time
b	TIME_TRUNC(time, timeUnit)	Truncates time to the granularity of timeUnit, rounding to the beginning of the unit
m o p r	TO_CHAR(timestamp, format)	Converts timestamp to a string using the format format
b	TO_CODE_POINTS(string)	Converts string to an array of integers that represent code points or extended ASCII character values
o p r	TO_DATE(string, format)	Converts string to a date using the format format
o p r	TO_TIMESTAMP(string, format)	Converts string to a timestamp using the format format
b o p r s	TRANSLATE(expr, fromString, toString)	Returns expr with all occurrences of each character in fromString replaced by its corresponding character in toString. Characters in expr that are not in fromString are not replaced
b	TRUNC(numeric1 [, integer2 ])	Truncates numeric1 to optionally integer2 (if not specified 0) places right to the decimal point
q	TRY_CAST(value AS type)	Converts value to type, returning NULL if conversion fails
b s	UNIX_MICROS(timestamp)	Returns the number of microseconds since 1970-01-01 00:00:00
b s	UNIX_MILLIS(timestamp)	Returns the number of milliseconds since 1970-01-01 00:00:00
b s	UNIX_SECONDS(timestamp)	Returns the number of seconds since 1970-01-01 00:00:00
b s	UNIX_DATE(date)	Returns the number of days since 1970-01-01
s	URL_DECODE(string)	Decodes a string in ‘application/x-www-form-urlencoded’ format using a specific encoding scheme, returns original string when decoded error
s	URL_ENCODE(string)	Translates a string into ‘application/x-www-form-urlencoded’ format using a specific encoding scheme
o	XMLTRANSFORM(xml, xslt)	Applies XSLT transform xslt to XML string xml and returns the result

Note:

• Calcite has no Redshift library, so the Postgres library is used instead. The functions DATEADD, DATEDIFF are implemented in Redshift and not Postgres but nevertheless appear in Calcite’s Postgres library
• Functions DATEADD, DATEDIFF, DATE_PART require the Babel parser
• JSON_TYPE / JSON_DEPTH / JSON_PRETTY / JSON_STORAGE_SIZE return null if the argument is null
• JSON_LENGTH / JSON_KEYS / JSON_REMOVE return null if the first argument is null
• JSON_TYPE generally returns an upper-case string flag indicating the type of the JSON input. Currently supported supported type flags are:
  • INTEGER
  • STRING
  • FLOAT
  • DOUBLE
  • LONG
  • BOOLEAN
  • DATE
  • OBJECT
  • ARRAY
  • NULL
• JSON_DEPTH defines a JSON value’s depth as follows:
  • An empty array, empty object, or scalar value has depth 1;
  • A non-empty array containing only elements of depth 1 or non-empty object containing only member values of depth 1 has depth 2;
  • Otherwise, a JSON document has depth greater than 2.
• JSON_LENGTH defines a JSON value’s length as follows:
  • A scalar value has length 1;
  • The length of array or object is the number of elements is contains.

Dialect-specific aggregate functions.

C	Operator syntax	Description
c	AGGREGATE(m)	Computes measure m in the context of the current GROUP BY key
b p	ARRAY_AGG( [ ALL | DISTINCT ] value [ RESPECT NULLS | IGNORE NULLS ] [ ORDER BY orderItem [, orderItem ]* ] )	Gathers values into arrays
b p	ARRAY_CONCAT_AGG( [ ALL | DISTINCT ] value [ ORDER BY orderItem [, orderItem ]* ] )	Concatenates arrays into arrays
p r s	BOOL_AND(condition)	Synonym for EVERY
p r s	BOOL_OR(condition)	Synonym for SOME
f	BOOLAND_AGG(condition)	Synonym for EVERY
f	BOOLOR_AGG(condition)	Synonym for SOME
b	COUNTIF(condition)	Returns the number of rows for which condition is TRUE; equivalent to COUNT(*) FILTER (WHERE condition)
m	GROUP_CONCAT( [ ALL | DISTINCT ] value [, value ]* [ ORDER BY orderItem [, orderItem ]* ] [ SEPARATOR separator ] )	MySQL-specific variant of LISTAGG
b	LOGICAL_AND(condition)	Synonym for EVERY
b	LOGICAL_OR(condition)	Synonym for SOME
s	MAX_BY(value, comp)	Synonym for ARG_MAX
s	MIN_BY(value, comp)	Synonym for ARG_MIN
b	PERCENTILE_CONT(value, fraction [ RESPECT NULLS | IGNORE NULLS ] ) OVER windowSpec	Synonym for standard PERCENTILE_CONT where PERCENTILE_CONT(value, fraction) OVER (ORDER BY value) is equivalent to standard PERCENTILE_CONT(fraction) WITHIN GROUP (ORDER BY value)
b	PERCENTILE_DISC(value, fraction [ RESPECT NULLS | IGNORE NULLS ] ) OVER windowSpec	Synonym for standard PERCENTILE_DISC where PERCENTILE_DISC(value, fraction) OVER (ORDER BY value) is equivalent to standard PERCENTILE_DISC(fraction) WITHIN GROUP (ORDER BY value)
b p	STRING_AGG( [ ALL | DISTINCT ] value [, separator] [ ORDER BY orderItem [, orderItem ]* ] )	Synonym for LISTAGG

Usage Examples:

JSON_TYPE example

SQL

SELECT JSON_TYPE(v) AS c1,
  JSON_TYPE(JSON_VALUE(v, 'lax $.b' ERROR ON ERROR)) AS c2,
  JSON_TYPE(JSON_VALUE(v, 'strict $.a[0]' ERROR ON ERROR)) AS c3,
  JSON_TYPE(JSON_VALUE(v, 'strict $.a[1]' ERROR ON ERROR)) AS c4
FROM (VALUES ('{"a": [10, true],"b": "[10, true]"}')) AS t(v)
LIMIT 10;

Result

c1	c2	c3	c4
OBJECT	ARRAY	INTEGER	BOOLEAN

JSON_DEPTH example

SQL

SELECT JSON_DEPTH(v) AS c1,
  JSON_DEPTH(JSON_VALUE(v, 'lax $.b' ERROR ON ERROR)) AS c2,
  JSON_DEPTH(JSON_VALUE(v, 'strict $.a[0]' ERROR ON ERROR)) AS c3,
  JSON_DEPTH(JSON_VALUE(v, 'strict $.a[1]' ERROR ON ERROR)) AS c4
FROM (VALUES ('{"a": [10, true],"b": "[10, true]"}')) AS t(v)
LIMIT 10;

Result

c1	c2	c3	c4
3	2	1	1

JSON_LENGTH example

SQL

SELECT JSON_LENGTH(v) AS c1,
  JSON_LENGTH(v, 'lax $.a') AS c2,
  JSON_LENGTH(v, 'strict $.a[0]') AS c3,
  JSON_LENGTH(v, 'strict $.a[1]') AS c4
FROM (VALUES ('{"a": [10, true]}')) AS t(v)
LIMIT 10;

Result

c1	c2	c3	c4
1	2	1	1

JSON_INSERT example

SQL

SELECT JSON_INSERT(v, '$.a', 10, '$.c', '[1]') AS c1,
  JSON_INSERT(v, '$', 10, '$.c', '[1]') AS c2
FROM (VALUES ('{"a": [10, true]}')) AS t(v)
LIMIT 10;

Result

c1	c2
{“a”:1 , “b”:[2] , “c”:”[1]”}	{“a”:1 , “b”:[2] , “c”:”[1]”}

JSON_KEYS example

SQL

SELECT JSON_KEYS(v) AS c1,
  JSON_KEYS(v, 'lax $.a') AS c2,
  JSON_KEYS(v, 'lax $.b') AS c2,
  JSON_KEYS(v, 'strict $.a[0]') AS c3,
  JSON_KEYS(v, 'strict $.a[1]') AS c4
FROM (VALUES ('{"a": [10, true],"b": {"c": 30}}')) AS t(v)
LIMIT 10;

Result

c1	c2	c3	c4	c5
[“a”, “b”]	NULL	[“c”]	NULL	NULL

JSON_REMOVE example

SQL

SELECT JSON_REMOVE(v, '$[1]') AS c1
FROM (VALUES ('["a", ["b", "c"], "d"]')) AS t(v)
LIMIT 10;

Result

c1
[“a”, “d”]

JSON_REPLACE example

SQL

SELECT
JSON_REPLACE(v, '$.a', 10, '$.c', '[1]') AS c1,
JSON_REPLACE(v, '$', 10, '$.c', '[1]') AS c2
FROM (VALUES ('{\"a\": 1,\"b\":[2]}')) AS t(v)
limit 10;

Result

c1	c2
{“a”:1 , “b”:[2] , “c”:”[1]”}	{“a”:1 , “b”:[2] , “c”:”[1]”}”)

JSON_SET example

SQL

SELECT
JSON_SET(v, '$.a', 10, '$.c', '[1]') AS c1,
JSON_SET(v, '$', 10, '$.c', '[1]') AS c2
FROM (VALUES ('{\"a\": 1,\"b\":[2]}')) AS t(v)
limit 10;

Result

c1	c2
{“a”:10, “b”:[2]}	10

JSON_STORAGE_SIZE example

SQL

SELECT
JSON_STORAGE_SIZE('[100, \"sakila\", [1, 3, 5], 425.05]') AS c1,
JSON_STORAGE_SIZE('{\"a\": 10, \"b\": \"a\", \"c\": \"[1, 3, 5, 7]\"}') AS c2,
JSON_STORAGE_SIZE('{\"a\": 10, \"b\": \"xyz\", \"c\": \"[1, 3, 5, 7]\"}') AS c3,
JSON_STORAGE_SIZE('[100, \"json\", [[10, 20, 30], 3, 5], 425.05]') AS c4
limit 10;

Result

c1	c2	c3	c4
29	35	37	36

DECODE example

SQL

SELECT DECODE(f1, 1, 'aa', 2, 'bb', 3, 'cc', 4, 'dd', 'ee') as c1,
  DECODE(f2, 1, 'aa', 2, 'bb', 3, 'cc', 4, 'dd', 'ee') as c2,
  DECODE(f3, 1, 'aa', 2, 'bb', 3, 'cc', 4, 'dd', 'ee') as c3,
  DECODE(f4, 1, 'aa', 2, 'bb', 3, 'cc', 4, 'dd', 'ee') as c4,
  DECODE(f5, 1, 'aa', 2, 'bb', 3, 'cc', 4, 'dd', 'ee') as c5
FROM (VALUES (1, 2, 3, 4, 5)) AS t(f1, f2, f3, f4, f5);

Result

c1	c2	c3	c4	c5
aa	bb	cc	dd	ee

TRANSLATE example

SQL

SELECT TRANSLATE('Aa*Bb*Cc''D*d', ' */''%', '_') as c1,
  TRANSLATE('Aa/Bb/Cc''D/d', ' */''%', '_') as c2,
  TRANSLATE('Aa Bb Cc''D d', ' */''%', '_') as c3,
  TRANSLATE('Aa%Bb%Cc''D%d', ' */''%', '_') as c4
FROM (VALUES (true)) AS t(f0);

Result

c1	c2	c3	c4
Aa_Bb_CcD_d	Aa_Bb_CcD_d	Aa_Bb_CcD_d	Aa_Bb_CcD_d

Higher-order Functions

A higher-order function takes one or more lambda expressions as arguments.

Lambda Expression Syntax:

lambdaExpression:
      parameters '->' expression

parameters:
      '(' [ identifier [, identifier ] ] ')'
  |   identifier

Higher-order functions are not included in the SQL standard, so all the functions will be listed in the Dialect-specific OperatorsPermalink as well.

Examples of functions with a lambda argument are EXISTS.

User-defined functions

Calcite is extensible. You can define each kind of function using user code. For each kind of function there are often several ways to define a function, varying from convenient to efficient.

To implement a scalar function, there are 3 options:

• Create a class with a public static eval method, and register the class;
• Create a class with a public non-static eval method, and a public constructor with no arguments, and register the class;
• Create a class with one or more public static methods, and register each class/method combination.

To implement an aggregate function, there are 2 options:

• Create a class with public static init, add and result methods, and register the class;
• Create a class with public non-static init, add and result methods, and a public constructor with no arguments, and register the class.

Optionally, add a public merge method to the class; this allows Calcite to generate code that merges sub-totals.

Optionally, make your class implement the SqlSplittableAggFunction interface; this allows Calcite to decompose the function across several stages of aggregation, roll up from summary tables, and push it through joins.

To implement a table function, there are 3 options:

• Create a class with a static eval method that returns ScannableTable or QueryableTable, and register the class;
• Create a class with a non-static eval method that returns ScannableTable or QueryableTable, and register the class;
• Create a class with one or more public static methods that return ScannableTable or QueryableTable, and register each class/method combination.

To implement a table macro, there are 3 options:

• Create a class with a static eval method that returns TranslatableTable, and register the class;
• Create a class with a non-static eval method that returns TranslatableTable, and register the class;
• Create a class with one or more public static methods that return TranslatableTable, and register each class/method combination.

Calcite deduces the parameter types and result type of a function from the parameter and return types of the Java method that implements it. Further, you can specify the name and optionality of each parameter using the Parameter annotation.

Calling functions with named and optional parameters

Usually when you call a function, you need to specify all of its parameters, in order. But that can be a problem if a function has a lot of parameters, and especially if you want to add more parameters over time.

To solve this problem, the SQL standard allows you to pass parameters by name, and to define parameters which are optional (that is, have a default value that is used if they are not specified).

Suppose you have a function f, declared as in the following pseudo syntax:

FUNCTION f(
  INTEGER a,
  INTEGER b DEFAULT NULL,
  INTEGER c,
  INTEGER d DEFAULT NULL,
  INTEGER e DEFAULT NULL) RETURNS INTEGER

All of the function’s parameters have names, and parameters b, d and e have a default value of NULL and are therefore optional. (In Calcite, NULL is the only allowable default value for optional parameters; this may change in future.)

When calling a function with optional parameters, you can omit optional arguments at the end of the list, or use the DEFAULT keyword for any optional arguments. Here are some examples:

• f(1, 2, 3, 4, 5) provides a value to each parameter, in order;
• f(1, 2, 3, 4) omits e, which gets its default value, NULL;
• f(1, DEFAULT, 3) omits d and e, and specifies to use the default value of b;
• f(1, DEFAULT, 3, DEFAULT, DEFAULT) has the same effect as the previous example;
• f(1, 2) is not legal, because c is not optional;
• f(1, 2, DEFAULT, 4) is not legal, because c is not optional.

You can specify arguments by name using the => syntax. If one argument is named, they all must be. Arguments may be in any other, but must not specify any argument more than once, and you need to provide a value for every parameter which is not optional. Here are some examples:

• f(c => 3, d => 1, a => 0) is equivalent to f(0, NULL, 3, 1, NULL);
• f(c => 3, d => 1) is not legal, because you have not specified a value for a and a is not optional.

SQL Hints

A hint is an instruction to the optimizer. When writing SQL, you may know information about the data unknown to the optimizer. Hints enable you to make decisions normally made by the optimizer.

• Planner enforcers: there’s no perfect planner, so it makes sense to implement hints to allow user better control the execution. For instance: “never merge this subquery with others” (/*+ no_merge */); “treat those tables as leading ones” (/*+ leading */) to affect join ordering, etc;
• Append meta data/statistics: some statistics like “table index for scan” or “skew info of some shuffle keys” are somehow dynamic for the query, it would be very convenient to config them with hints because our planning metadata from the planner is very often not very accurate;
• Operator resource constraints: for many cases, we would give a default resource configuration for the execution operators, i.e. min parallelism, memory (resource consuming UDF), special resource requirement (GPU or SSD disk) … It would be very flexible to profile the resource with hints per query (not the Job).

Syntax

Calcite supports hints in two locations:

• Query Hint: right after the SELECT keyword;
• Table Hint: right after the referenced table name.

For example:

SELECT /*+ hint1, hint2(a=1, b=2) */
...
FROM
  tableName /*+ hint3(5, 'x') */
JOIN
  tableName /*+ hint4(c=id), hint5 */
...

The syntax is as follows:

hintComment:
      '/*+' hint [, hint ]* '*/'

hint:
      hintName
  |   hintName '(' optionKey '=' optionVal [, optionKey '=' optionVal ]* ')'
  |   hintName '(' hintOption [, hintOption ]* ')'

optionKey:
      simpleIdentifier
  |   stringLiteral

optionVal:
      stringLiteral

hintOption:
      simpleIdentifier
   |  numericLiteral
   |  stringLiteral

It is experimental in Calcite, and yet not fully implemented, what we have implemented are:

• The parser support for the syntax above;
• RelHint to represent a hint item;
• Mechanism to propagate the hints, during sql-to-rel conversion and planner planning.

We do not add any builtin hint items yet, would introduce more if we think the hints is stable enough.

MATCH_RECOGNIZE

MATCH_RECOGNIZE is a SQL extension for recognizing sequences of events in complex event processing (CEP).

It is experimental in Calcite, and yet not fully implemented.

Syntax

matchRecognize:
      MATCH_RECOGNIZE '('
      [ PARTITION BY expression [, expression ]* ]
      [ ORDER BY orderItem [, orderItem ]* ]
      [ MEASURES measureColumn [, measureColumn ]* ]
      [ ONE ROW PER MATCH | ALL ROWS PER MATCH ]
      [ AFTER MATCH skip ]
      PATTERN '(' pattern ')'
      [ WITHIN intervalLiteral ]
      [ SUBSET subsetItem [, subsetItem ]* ]
      DEFINE variable AS condition [, variable AS condition ]*
      ')'

skip:
      SKIP TO NEXT ROW
  |   SKIP PAST LAST ROW
  |   SKIP TO FIRST variable
  |   SKIP TO LAST variable
  |   SKIP TO variable

subsetItem:
      variable = '(' variable [, variable ]* ')'

measureColumn:
      expression AS alias

pattern:
      patternTerm [ '|' patternTerm ]*

patternTerm:
      patternFactor [ patternFactor ]*

patternFactor:
      patternPrimary [ patternQuantifier ]

patternPrimary:
      variable
  |   '$'
  |   '^'
  |   '(' [ pattern ] ')'
  |   '{-' pattern '-}'
  |   PERMUTE '(' pattern [, pattern ]* ')'

patternQuantifier:
      '*'
  |   '*?'
  |   '+'
  |   '+?'
  |   '?'
  |   '??'
  |   '{' { [ minRepeat ], [ maxRepeat ] } '}' ['?']
  |   '{' repeat '}'

intervalLiteral:
      INTERVAL 'string' timeUnit [ TO timeUnit ]

In patternQuantifier, repeat is a positive integer, and minRepeat and maxRepeat are non-negative integers.

DDL Extensions

DDL extensions are only available in the calcite-server module. To enable, include calcite-server.jar in your class path, and add parserFactory=org.apache.calcite.sql.parser.ddl.SqlDdlParserImpl#FACTORY to the JDBC connect string (see connect string property parserFactory).

ddlStatement:
      createSchemaStatement
  |   createForeignSchemaStatement
  |   createTableStatement
  |   createTableLikeStatement
  |   createViewStatement
  |   createMaterializedViewStatement
  |   createTypeStatement
  |   createFunctionStatement
  |   dropSchemaStatement
  |   dropForeignSchemaStatement
  |   dropTableStatement
  |   dropViewStatement
  |   dropMaterializedViewStatement
  |   dropTypeStatement
  |   dropFunctionStatement

createSchemaStatement:
      CREATE [ OR REPLACE ] SCHEMA [ IF NOT EXISTS ] name

createForeignSchemaStatement:
      CREATE [ OR REPLACE ] FOREIGN SCHEMA [ IF NOT EXISTS ] name
      (
          TYPE 'type'
      |   LIBRARY 'com.example.calcite.ExampleSchemaFactory'
      )
      [ OPTIONS '(' option [, option ]* ')' ]

option:
      name literal

createTableStatement:
      CREATE TABLE [ IF NOT EXISTS ] name
      [ '(' tableElement [, tableElement ]* ')' ]
      [ AS query ]

createTableLikeStatement:
      CREATE TABLE [ IF NOT EXISTS ] name LIKE sourceTable
      [ likeOption [, likeOption ]* ]

likeOption:
      { INCLUDING | EXCLUDING } { DEFAULTS | GENERATED | ALL }

createTypeStatement:
      CREATE [ OR REPLACE ] TYPE name AS
      {
          baseType
      |   '(' attributeDef [, attributeDef ]* ')'
      }

attributeDef:
      attributeName type
      [ COLLATE collation ]
      [ NULL | NOT NULL ]
      [ DEFAULT expression ]

tableElement:
      columnName type [ columnGenerator ] [ columnConstraint ]
  |   columnName
  |   tableConstraint

columnGenerator:
      DEFAULT expression
  |   [ GENERATED ALWAYS ] AS '(' expression ')'
      { VIRTUAL | STORED }

columnConstraint:
      [ CONSTRAINT name ]
      [ NOT ] NULL

tableConstraint:
      [ CONSTRAINT name ]
      {
          CHECK '(' expression ')'
      |   PRIMARY KEY '(' columnName [, columnName ]* ')'
      |   UNIQUE '(' columnName [, columnName ]* ')'
      }

createViewStatement:
      CREATE [ OR REPLACE ] VIEW name
      [ '(' columnName [, columnName ]* ')' ]
      AS query

createMaterializedViewStatement:
      CREATE MATERIALIZED VIEW [ IF NOT EXISTS ] name
      [ '(' columnName [, columnName ]* ')' ]
      AS query

createFunctionStatement:
      CREATE [ OR REPLACE ] FUNCTION [ IF NOT EXISTS ] name
      AS classNameLiteral
      [ USING  usingFile [, usingFile ]* ]

usingFile:
      { JAR | FILE | ARCHIVE } filePathLiteral

dropSchemaStatement:
      DROP SCHEMA [ IF EXISTS ] name

dropForeignSchemaStatement:
      DROP FOREIGN SCHEMA [ IF EXISTS ] name

dropTableStatement:
      DROP TABLE [ IF EXISTS ] name

dropViewStatement:
      DROP VIEW [ IF EXISTS ] name

dropMaterializedViewStatement:
      DROP MATERIALIZED VIEW [ IF EXISTS ] name

dropTypeStatement:
      DROP TYPE [ IF EXISTS ] name

dropFunctionStatement:
      DROP FUNCTION [ IF EXISTS ] name

truncateTableStatement:
      TRUNCATE TABLE name
      [ CONTINUE IDENTITY | RESTART IDENTITY ]

In createTableStatement, if you specify AS query, you may omit the list of tableElements, or you can omit the data type of any tableElement, in which case it just renames the underlying column.

In columnGenerator, if you do not specify VIRTUAL or STORED for a generated column, VIRTUAL is the default.

In createFunctionStatement and usingFile, classNameLiteral and filePathLiteral are character literals.

Declaring objects for user-defined types

After an object type is defined and installed in the schema, you can use it to declare objects in any SQL block. For example, you can use the object type to specify the datatype of an attribute, column, variable, bind variable, record field, table element, formal parameter, or function result. At run time, instances of the object type are created; that is, objects of that type are instantiated. Each object can hold different values.

For example, we can declare types address_typ and employee_typ:

CREATE TYPE address_typ AS (
   street          VARCHAR(30),
   city            VARCHAR(20),
   state           CHAR(2),
   postal_code     VARCHAR(6));

CREATE TYPE employee_typ AS (
  employee_id       DECIMAL(6),
  first_name        VARCHAR(20),
  last_name         VARCHAR(25),
  email             VARCHAR(25),
  phone_number      VARCHAR(20),
  hire_date         DATE,
  job_id            VARCHAR(10),
  salary            DECIMAL(8,2),
  commission_pct    DECIMAL(2,2),
  manager_id        DECIMAL(6),
  department_id     DECIMAL(4),
  address           address_typ);

Using these types, you can instantiate objects as follows:

employee_typ(315, 'Francis', 'Logan', 'FLOGAN',
    '555.777.2222', DATE '2004-05-01', 'SA_MAN', 11000, .15, 101, 110,
     address_typ('376 Mission', 'San Francisco', 'CA', '94222'))

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