Jaa

ANSI compliance in Databricks Runtime

  • Artikkeli

Applies to: check marked yes Databricks Runtime

This article describes ANSI compliance in Databricks Runtime. For ANSI mode in Databricks SQL, see ANSI_MODE.

Spark SQL has two options to support compliance with the ANSI SQL standard: spark.sql.ansi.enabled and spark.sql.storeAssignmentPolicy.

When spark.sql.ansi.enabled is set to true, Spark SQL uses an ANSI compliant dialect instead of being Hive compliant. For example, Spark will throw an exception at runtime instead of returning null results if the inputs to a SQL operator/function are invalid. Some ANSI dialect features may be not from the ANSI SQL standard directly, but their behaviors align with ANSI SQL’s style.

Moreover, Spark SQL has an independent option to control implicit casting behaviors when storing rows in a table. The casting behaviors are defined as store assignment rules in the standard.

When spark.sql.storeAssignmentPolicy is set to ANSI, Spark SQL complies with the ANSI store assignment rules. This is a separate configuration because its default value is ANSI, while the configuration spark.sql.ansi.enabled is disabled by default.

The following table summarizes the behavior:

Property Name Default Meaning
spark.sql.ansi.enabled false When true, Spark attempts to conform to the ANSI SQL specification:

- Throws a runtime exception if an overflow occurs in any operation on an integer or decimal field.
- Forbids using the reserved keywords of ANSI SQL as identifiers in the SQL parser.
spark.sql.storeAssignmentPolicy ANSI When storing a value into a column with a different data type, Spark performs type conversion. There are three policies for the type coercion rules: ANSI, legacy, and strict.

- ANSI: Spark performs the type coercion as per ANSI SQL. In practice, the behavior is mostly the same as PostgreSQL. It disallows certain unreasonable type conversions such as converting string to int or double to boolean.
- legacy: Spark allows the type coercion as long as it is a valid Cast, which is very loose. For example, converting string to int or double to boolean is allowed. It is also the only behavior in Spark 2.x and it is compatible with Hive.
- strict: Spark doesn’t allow any possible precision loss or data truncation in type coercion, for example, converting double to int or decimal to double is not allowed.

The following subsections present behavior changes in arithmetic operations, type conversions, and SQL parsing when ANSI mode is enabled. For type conversions in Spark SQL, there are three kinds of them and this article will introduce them one by one: cast, store assignment and type coercion.

Arithmetic operations

In Spark SQL, arithmetic operations performed on numeric types (with the exception of decimal) are not checked for overflows by default. This means that in case an operation causes overflows, the result is the same with the corresponding operation in a Java or Scala program (For example, if the sum of 2 integers is higher than the maximum value representable, the result is a negative number). On the other hand, Spark SQL returns null for decimal overflows. When spark.sql.ansi.enabled is set to true and an overflow occurs in numeric and interval arithmetic operations, it throws an arithmetic exception at runtime.

-- `spark.sql.ansi.enabled=true`
> SELECT 2147483647 + 1;
 error: integer overflow

-- `spark.sql.ansi.enabled=false`
> SELECT 2147483647 + 1;
  -2147483648

Cast

When spark.sql.ansi.enabled is set to true, explicit casting by CAST syntax throws a runtime exception for illegal cast patterns defined in the standard, such as casts from a string to an integer.

The CAST clause of Spark ANSI mode follows the syntax rules of section 6.13 “cast specification” in ISO/IEC 9075-2:2011 Information technology — Database languages - SQL — Part 2: Foundation (SQL/Foundation), except it specially allows the following straightforward type conversions which are disallowed as per the ANSI standard:

  • NumericType <=> BooleanType
  • StringType <=> BinaryType

The valid combinations of source and target data type in a CAST expression are given by the following table. “Y” indicates that the combination is syntactically valid without restriction and “N” indicates that the combination is not valid.

SourceTarget Numeric String Date Timestamp Interval Boolean Binary Array Map Struct
Numeric Y Y N N N Y N N N N
String Y Y Y Y Y Y Y N N N
Date N Y Y Y N N N N N N
Timestamp N Y Y Y N N N N N N
Interval N Y N N Y N N N N N
Boolean Y Y N N N Y N N N N
Binary Y N N N N N Y N N N
Array N N N N N N N Y N N
Map N N N N N N N N Y N
Struct N N N N N N N N N Y 
-- Examples of explicit casting

-- `spark.sql.ansi.enabled=true`
> SELECT CAST('a' AS INT);
  ERROR: [CAST_INVALID_INPUT] The value 'a' of the type "STRING" cannot be cast to "INT" because it is malformed.

> SELECT CAST(2147483648L AS INT);
  ERROR: [CAST_OVERFLOW] The value 2147483648L of the type "BIGINT" cannot be cast to "INT" due to an overflow.

> SELECT CAST(DATE'2020-01-01' AS INT)
  ERROR: [DATATYPE_MISMATCH.CAST_WITH_FUNC_SUGGESTION] Cannot resolve "CAST(DATE '2020-01-01' AS INT)" due to data type mismatch: cannot cast "DATE" to "INT".

-- `spark.sql.ansi.enabled=false` (This is a default behavior)
> SELECT cast('a' AS INT);
  null

> SELECT CAST(2147483648L AS INT);
  -2147483648

> SELECT CAST(DATE'2020-01-01' AS INT);
  null

Store assignment

The setting spark.sql.storeAssignmentPolicy defaults to ANSI. With this setting, when the data types of source values doesn’t match the target column types, Spark SQL automatically adds ANSI CAST clauses to the INSERT statement. During table insertion under this policy, Spark checks for and rejects invalid casts, throwing an exception to ensure data quality. This means if an insertion attempt fails due to a type mismatch, it will not result in any data being partially written to the table.

Examples:

-- spark.sql.storeAssignmentPolicy=ANSI
> CREATE TABLE test(i INT);
> INSERT INTO test VALUES (2147483648L);
  ERROR: [CAST_OVERFLOW_IN_TABLE_INSERT] Fail to insert a value of "BIGINT" type into the "INT" type column `i` due to an overflow.

> INSERT INTO test VALUES ('a');
  ERROR: [CAST_INVALID_INPUT ERROR] The value 'a' of the type "STRING" cannot be cast to "INT" because it is malformed

These examples show Spark SQL preventing incompatible data from being inserted, thereby maintaining data integrity.

When the spark.sql.storeAssignmentPolicy is set to LEGACY, Spark SQL reverts to the behavior prevalent up to Spark 2.x. In this mode, instead of using ANSI CAST, it applies legacy CAST operations. Under this policy, invalid casts during table insertions result in either NULL values or incorrect values being inserted, rather than throwing an exception. Examples:

-- spark.sql.storeAssignmentPolicy=LEGACY
> CREATE TABLE test(i INT);
> INSERT INTO test VALUES (2147483648L);
> INSERT INTO test VALUES ('a');
> SELECT * FROM test;

-- Results
--  -2147483648 (incorrect value due to overflow)
--  null (cannot cast 'a' to INT)

Type coercion

Type Promotion and Precedence

When spark.sql.ansi.enabled is set to true, Spark SQL uses several rules that govern how conflicts between data types are resolved. At the heart of this conflict resolution is the Type Precedence List which defines whether values of a given data type can be promoted to another data type implicitly.

Data type precedence list(from narrowest to widest)
Byte Byte -> Short -> Int -> Long -> Decimal -> Float* -> Double
Short Short -> Int -> Long -> Decimal-> Float* -> Double
Int Int -> Long -> Decimal -> Float* -> Double
Long Long -> Decimal -> Float* -> Double
Decimal Decimal -> Float* -> Double
Float Float -> Double
Double Double
Date Date -> Timestamp
Timestamp Timestamp
String String
Binary Binary
Boolean Boolean
Interval Interval
Map Map**
Array Array**
Struct Struct**
  • For least common type resolution float is skipped to avoid loss of precision.

** For a complex type, the precedence rule applies recursively to its component elements.

Special rules apply for the String type and untyped NULL. A NULL can be promoted to any other type, while a String can be promoted to any simple data type.

This is a graphical depiction of the precedence list as a directed tree: Graphical representation of precedence rules

Least Common Type Resolution

The least common type from a set of types is the narrowest type reachable from the precedence list by all elements of the set of types.

The least common type resolution is used to:

  • Decide whether a function expecting a parameter of a type can be invoked using an argument of a narrower type.
  • Derive the argument type for functions which expect a shared argument type for multiple parameters, such as coalesce, least, or greatest.
  • Derive the operand types for operators such as arithmetic operations or comparisons.
  • Derive the result type for expressions such as the case expression.
  • Derive the element, key, or value types for array and map constructors.

Special rules are applied if the least common type resolves to FLOAT. With float type values, if any of the types is INT, BIGINT, or DECIMAL the least common type is pushed to DOUBLE to avoid potential loss of digits.

-- The coalesce function accepts any set of argument types as long as they share a least common type.
-- The result type is the least common type of the arguments.
> SET spark.sql.ansi.enabled=true;

> SELECT typeof(coalesce(1Y, 1L, NULL));
BIGINT

> SELECT typeof(coalesce(1, DATE'2020-01-01'));
Error: Incompatible types [INT, DATE]

> SELECT typeof(coalesce(ARRAY(1Y), ARRAY(1L)));
ARRAY<BIGINT>

> SELECT typeof(coalesce(1, 1F));
DOUBLE

> SELECT typeof(coalesce(1L, 1F));
DOUBLE

> SELECT (typeof(coalesce(1BD, 1F)));
DOUBLE

-- The substring function expects arguments of type INT for the start and length parameters.
> SELECT substring('hello', 1Y, 2);
he

> SELECT substring('hello', '1', 2);
he

> SELECT substring('hello', 1L, 2);
Error: Argument 2 requires an INT type.

> SELECT substring('hello', str, 2) FROM VALUES(CAST('1' AS STRING)) AS T(str);
Error: Argument 2 requires an INT type.

SQL functions

The behavior of some SQL functions can be different under ANSI mode (spark.sql.ansi.enabled=true).

  • size: This function returns null for null input under ANSI mode.
  • element_at:
    • This function throws ArrayIndexOutOfBoundsException if using invalid indices.
    • This function throws NoSuchElementException if key does not exist in map.
  • elt: This function throws ArrayIndexOutOfBoundsException if using invalid indices.
  • make_date: This function fails with an exception if the result date is invalid.
  • make_timestamp: This function fails with an exception if the result timestamp is invalid.
  • make_interval: This function fails with an exception if the result interval is invalid.
  • next_day: This function throws IllegalArgumentException if input is not a valid day of week.
  • parse_url: This function throws IllegalArgumentException if an input string is not a valid url.
  • to_date: This function fails with an exception if the input string can’t be parsed, or the pattern string is invalid.
  • to_timestamp: This function fails with an exception if the input string can’t be parsed, or the pattern string is invalid.
  • to_unix_timestamp: This function fails with an exception if the input string can’t be parsed, or the pattern string is invalid.
  • unix_timestamp: This function fails with an exception if the input string can’t be parsed, or the pattern string is invalid.

SQL operators

The behavior of some SQL operators can be different under ANSI mode (spark.sql.ansi.enabled=true).

  • array_col[index]: This operator throws ArrayIndexOutOfBoundsException if using invalid indices.
  • map_col[key]: This operator throws NoSuchElementException if key does not exist in map.
  • CAST(string_col AS TIMESTAMP): This operator fails with an exception if the input string can’t be parsed.
  • CAST(string_col AS DATE): This operator fails with an exception if the input string can’t be parsed.

Useful Functions for ANSI Mode

When ANSI mode is on, it throws exceptions for invalid operations. You can use the following SQL functions to suppress such exceptions.

  • try_cast: identical to CAST, except that it returns NULL result instead of throwing an exception on runtime error.
  • try_add: identical to the add operator +, except that it returns NULL result instead of throwing an exception on integral value overflow.
  • try_divide: identical to the division operator /, except that it returns NULL result instead of throwing an exception on dividing 0.

SQL keywords

When spark.sql.ansi.enabled is true, Spark SQL will use the ANSI mode parser. In this mode, Spark SQL has two kinds of keywords:

  • Reserved keywords: Keywords that are reserved and can’t be used as identifiers for table, view, column, function, alias, etc.
  • Non-reserved keywords: Keywords that have a special meaning only in particular contexts and can be used as identifiers in other contexts. For example, EXPLAIN SELECT ... is a command, but EXPLAIN can be used as identifiers in other places.

When the ANSI mode is disabled, Spark SQL has two kinds of keywords:

  • Non-reserved keywords: Same definition as the one when the ANSI mode enabled.
  • Strict-non-reserved keywords: A strict version of non-reserved keywords, which cannot be used as table alias.

By default spark.sql.ansi.enabled is false.

Below is a list of all the keywords in Spark SQL.

Keyword Spark SQL ANSI Mode Spark SQL Default Mode SQL-2016
ADD non-reserved non-reserved non-reserved
AFTER non-reserved non-reserved non-reserved
ALL reserved non-reserved reserved
ALTER non-reserved non-reserved reserved
ALWAYS non-reserved non-reserved non-reserved
ANALYZE non-reserved non-reserved non-reserved
AND reserved non-reserved reserved
ANTI non-reserved strict-non-reserved non-reserved
ANY reserved non-reserved reserved
ARCHIVE non-reserved non-reserved non-reserved
ARRAY non-reserved non-reserved reserved
AS reserved non-reserved reserved
ASC non-reserved non-reserved non-reserved
AT non-reserved non-reserved reserved
AUTHORIZATION reserved non-reserved reserved
BETWEEN non-reserved non-reserved reserved
BOTH reserved non-reserved reserved
BUCKET non-reserved non-reserved non-reserved
BUCKETS non-reserved non-reserved non-reserved
BY non-reserved non-reserved reserved
CACHE non-reserved non-reserved non-reserved
CASCADE non-reserved non-reserved non-reserved
CASE reserved non-reserved reserved
CAST reserved non-reserved reserved
CHANGE non-reserved non-reserved non-reserved
CHECK reserved non-reserved reserved
CLEAR non-reserved non-reserved non-reserved
CLUSTER non-reserved non-reserved non-reserved
CLUSTERED non-reserved non-reserved non-reserved
CODEGEN non-reserved non-reserved non-reserved
COLLATE reserved non-reserved reserved
COLLECTION non-reserved non-reserved non-reserved
COLUMN reserved non-reserved reserved
COLUMNS non-reserved non-reserved non-reserved
COMMENT non-reserved non-reserved non-reserved
COMMIT non-reserved non-reserved reserved
COMPACT non-reserved non-reserved non-reserved
COMPACTIONS non-reserved non-reserved non-reserved
COMPUTE non-reserved non-reserved non-reserved
CONCATENATE non-reserved non-reserved non-reserved
CONSTRAINT reserved non-reserved reserved
COST non-reserved non-reserved non-reserved
CREATE reserved non-reserved reserved
CROSS reserved strict-non-reserved reserved
CUBE non-reserved non-reserved reserved
CURRENT non-reserved non-reserved reserved
CURRENT_DATE reserved non-reserved reserved
CURRENT_TIME reserved non-reserved reserved
CURRENT_TIMESTAMP reserved non-reserved reserved
CURRENT_USER reserved non-reserved reserved
DATA non-reserved non-reserved non-reserved
DATABASE non-reserved non-reserved non-reserved
DATABASES non-reserved non-reserved non-reserved
DAY non-reserved non-reserved non-reserved
DBPROPERTIES non-reserved non-reserved non-reserved
DEFINED non-reserved non-reserved non-reserved
DELETE non-reserved non-reserved reserved
DELIMITED non-reserved non-reserved non-reserved
DESC non-reserved non-reserved non-reserved
DESCRIBE non-reserved non-reserved reserved
DFS non-reserved non-reserved non-reserved
DIRECTORIES non-reserved non-reserved non-reserved
DIRECTORY non-reserved non-reserved non-reserved
DISTINCT reserved non-reserved reserved
DISTRIBUTE non-reserved non-reserved non-reserved
DIV non-reserved non-reserved not a keyword
DROP non-reserved non-reserved reserved
ELSE reserved non-reserved reserved
END reserved non-reserved reserved
ESCAPE reserved non-reserved reserved
ESCAPED non-reserved non-reserved non-reserved
EXCEPT reserved strict-non-reserved reserved
EXCHANGE non-reserved non-reserved non-reserved
EXISTS non-reserved non-reserved reserved
EXPLAIN non-reserved non-reserved non-reserved
EXPORT non-reserved non-reserved non-reserved
EXTENDED non-reserved non-reserved non-reserved
EXTERNAL non-reserved non-reserved reserved
EXTRACT non-reserved non-reserved reserved
FALSE reserved non-reserved reserved
FETCH reserved non-reserved reserved
FIELDS non-reserved non-reserved non-reserved
FILTER reserved non-reserved reserved
FILEFORMAT non-reserved non-reserved non-reserved
FIRST non-reserved non-reserved non-reserved
FN non-reserved non-reserved non-reserved
FOLLOWING non-reserved non-reserved non-reserved
FOR reserved non-reserved reserved
FOREIGN reserved non-reserved reserved
FORMAT non-reserved non-reserved non-reserved
FORMATTED non-reserved non-reserved non-reserved
FROM reserved non-reserved reserved
FULL reserved strict-non-reserved reserved
FUNCTION non-reserved non-reserved reserved
FUNCTIONS non-reserved non-reserved non-reserved
GENERATED non-reserved non-reserved non-reserved
GLOBAL non-reserved non-reserved reserved
GRANT reserved non-reserved reserved
GRANTS non-reserved non-reserved non-reserved
GROUP reserved non-reserved reserved
GROUPING non-reserved non-reserved reserved
HAVING reserved non-reserved reserved
HOUR non-reserved non-reserved non-reserved
IF non-reserved non-reserved not a keyword
IGNORE non-reserved non-reserved non-reserved
IMPORT non-reserved non-reserved non-reserved
IN reserved non-reserved reserved
INDEX non-reserved non-reserved non-reserved
INDEXES non-reserved non-reserved non-reserved
INNER reserved strict-non-reserved reserved
INPATH non-reserved non-reserved non-reserved
INPUTFORMAT non-reserved non-reserved non-reserved
INSERT non-reserved non-reserved reserved
INTERSECT reserved strict-non-reserved reserved
INTERVAL non-reserved non-reserved reserved
INTO reserved non-reserved reserved
IS reserved non-reserved reserved
ITEMS non-reserved non-reserved non-reserved
JOIN reserved strict-non-reserved reserved
KEY non-reserved non-reserved non-reserved
KEYS non-reserved non-reserved non-reserved
LAST non-reserved non-reserved non-reserved
LATERAL reserved strict-non-reserved reserved
LAZY non-reserved non-reserved non-reserved
LEADING reserved non-reserved reserved
LEFT reserved strict-non-reserved reserved
LIKE non-reserved non-reserved reserved
ILIKE non-reserved non-reserved non-reserved
LIMIT non-reserved non-reserved non-reserved
LINES non-reserved non-reserved non-reserved
LIST non-reserved non-reserved non-reserved
LOAD non-reserved non-reserved non-reserved
LOCAL non-reserved non-reserved reserved
LOCATION non-reserved non-reserved non-reserved
LOCK non-reserved non-reserved non-reserved
LOCKS non-reserved non-reserved non-reserved
LOGICAL non-reserved non-reserved non-reserved
MACRO non-reserved non-reserved non-reserved
MAP non-reserved non-reserved non-reserved
MATCHED non-reserved non-reserved non-reserved
MERGE non-reserved non-reserved non-reserved
MINUTE non-reserved non-reserved non-reserved
MINUS non-reserved strict-non-reserved non-reserved
MONTH non-reserved non-reserved non-reserved
MSCK non-reserved non-reserved non-reserved
NAMESPACE non-reserved non-reserved non-reserved
NAMESPACES non-reserved non-reserved non-reserved
NATURAL reserved strict-non-reserved reserved
NO non-reserved non-reserved reserved
NOT reserved non-reserved reserved
NULL reserved non-reserved reserved
NULLS non-reserved non-reserved non-reserved
OF non-reserved non-reserved reserved
ON reserved strict-non-reserved reserved
ONLY reserved non-reserved reserved
OPTION non-reserved non-reserved non-reserved
OPTIONS non-reserved non-reserved non-reserved
OR reserved non-reserved reserved
ORDER reserved non-reserved reserved
OUT non-reserved non-reserved reserved
OUTER reserved non-reserved reserved
OUTPUTFORMAT non-reserved non-reserved non-reserved
OVER non-reserved non-reserved non-reserved
OVERLAPS reserved non-reserved reserved
OVERLAY non-reserved non-reserved non-reserved
OVERWRITE non-reserved non-reserved non-reserved
PARTITION non-reserved non-reserved reserved
PARTITIONED non-reserved non-reserved non-reserved
PARTITIONS non-reserved non-reserved non-reserved
PERCENT non-reserved non-reserved non-reserved
PIVOT non-reserved non-reserved non-reserved
PLACING non-reserved non-reserved non-reserved
POSITION non-reserved non-reserved reserved
PRECEDING non-reserved non-reserved non-reserved
PRIMARY reserved non-reserved reserved
PRINCIPALS non-reserved non-reserved non-reserved
PROPERTIES non-reserved non-reserved non-reserved
PURGE non-reserved non-reserved non-reserved
QUALIFY reserved non-reserved reserved
QUERY non-reserved non-reserved non-reserved
RANGE non-reserved non-reserved reserved
RECIPIENT non-reserved non-reserved non-reserved
RECIPIENTS non-reserved non-reserved non-reserved
RECORDREADER non-reserved non-reserved non-reserved
RECORDWRITER non-reserved non-reserved non-reserved
RECOVER non-reserved non-reserved non-reserved
REDUCE non-reserved non-reserved non-reserved
REFERENCES reserved non-reserved reserved
REFRESH non-reserved non-reserved non-reserved
REGEXP non-reserved non-reserved not a keyword
REMOVE non-reserved non-reserved non-reserved
RENAME non-reserved non-reserved non-reserved
REPAIR non-reserved non-reserved non-reserved
REPLACE non-reserved non-reserved non-reserved
RESET non-reserved non-reserved non-reserved
RESPECT non-reserved non-reserved non-reserved
RESTRICT non-reserved non-reserved non-reserved
REVOKE non-reserved non-reserved reserved
RIGHT reserved strict-non-reserved reserved
RLIKE non-reserved non-reserved non-reserved
ROLE non-reserved non-reserved non-reserved
ROLES non-reserved non-reserved non-reserved
ROLLBACK non-reserved non-reserved reserved
ROLLUP non-reserved non-reserved reserved
ROW non-reserved non-reserved reserved
ROWS non-reserved non-reserved reserved
SCHEMA non-reserved non-reserved non-reserved
SCHEMAS non-reserved non-reserved not a keyword
SECOND non-reserved non-reserved non-reserved
SELECT reserved non-reserved reserved
SEMI non-reserved strict-non-reserved non-reserved
SEPARATED non-reserved non-reserved non-reserved
SERDE non-reserved non-reserved non-reserved
SERDEPROPERTIES non-reserved non-reserved non-reserved
SESSION_USER reserved non-reserved reserved
SET non-reserved non-reserved reserved
SETS non-reserved non-reserved non-reserved
SHARE non-reserved non-reserved non-reserved
SHARES non-reserved non-reserved non-reserved
SHOW non-reserved non-reserved non-reserved
SKEWED non-reserved non-reserved non-reserved
SOME reserved non-reserved reserved
SORT non-reserved non-reserved non-reserved
SORTED non-reserved non-reserved non-reserved
START non-reserved non-reserved reserved
STATISTICS non-reserved non-reserved non-reserved
STORED non-reserved non-reserved non-reserved
STRATIFY non-reserved non-reserved non-reserved
STRUCT non-reserved non-reserved non-reserved
SUBSTR non-reserved non-reserved non-reserved
SUBSTRING non-reserved non-reserved non-reserved
SYNC non-reserved non-reserved non-reserved
TABLE reserved non-reserved reserved
TABLES non-reserved non-reserved non-reserved
TABLESAMPLE non-reserved non-reserved reserved
TBLPROPERTIES non-reserved non-reserved non-reserved
TEMP non-reserved non-reserved not a keyword
TEMPORARY non-reserved non-reserved non-reserved
TERMINATED non-reserved non-reserved non-reserved
THEN reserved non-reserved reserved
TIME reserved non-reserved reserved
TO reserved non-reserved reserved
TOUCH non-reserved non-reserved non-reserved
TRAILING reserved non-reserved reserved
TRANSACTION non-reserved non-reserved non-reserved
TRANSACTIONS non-reserved non-reserved non-reserved
TRANSFORM non-reserved non-reserved non-reserved
TRIM non-reserved non-reserved non-reserved
TRUE non-reserved non-reserved reserved
TRUNCATE non-reserved non-reserved reserved
TRY_CAST non-reserved non-reserved non-reserved
TYPE non-reserved non-reserved non-reserved
UNARCHIVE non-reserved non-reserved non-reserved
UNBOUNDED non-reserved non-reserved non-reserved
UNCACHE non-reserved non-reserved non-reserved
UNION reserved strict-non-reserved reserved
UNIQUE reserved non-reserved reserved
UNKNOWN reserved non-reserved reserved
UNLOCK non-reserved non-reserved non-reserved
UNSET non-reserved non-reserved non-reserved
UPDATE non-reserved non-reserved reserved
USE non-reserved non-reserved non-reserved
USER reserved non-reserved reserved
USING reserved strict-non-reserved reserved
VALUES non-reserved non-reserved reserved
VIEW non-reserved non-reserved non-reserved
VIEWS non-reserved non-reserved non-reserved
WHEN reserved non-reserved reserved
WHERE reserved non-reserved reserved
WINDOW non-reserved non-reserved reserved
WITH reserved non-reserved reserved
YEAR non-reserved non-reserved non-reserved
ZONE non-reserved non-reserved non-reserved