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| author | Josh Rosen <joshrosen@databricks.com> | 2016-08-23 22:31:58 +0200 |
|---|---|---|
| committer | Herman van Hovell <hvanhovell@databricks.com> | 2016-08-23 22:31:58 +0200 |
| commit | bf8ff833e30b39e5e5e35ba8dcac31b79323838c (patch) | |
| tree | 976722854fb5da1fde0d485587ebb7e8cf31fb66 /sql/hive/src/test/resources/sqlgen/subquery_exists_having_3.sql | |
| parent | 6555ef0ccbecd09c3071670e10f0c1e2d7713bfe (diff) | |
| download | spark-bf8ff833e30b39e5e5e35ba8dcac31b79323838c.tar.gz spark-bf8ff833e30b39e5e5e35ba8dcac31b79323838c.tar.bz2 spark-bf8ff833e30b39e5e5e35ba8dcac31b79323838c.zip | |
[SPARK-17194] Use single quotes when generating SQL for string literals
When Spark emits SQL for a string literal, it should wrap the string in single quotes, not double quotes. Databases which adhere more strictly to the ANSI SQL standards, such as Postgres, allow only single-quotes to be used for denoting string literals (see http://stackoverflow.com/a/1992331/590203).
Author: Josh Rosen <joshrosen@databricks.com>
Closes #14763 from JoshRosen/SPARK-17194.
Diffstat (limited to 'sql/hive/src/test/resources/sqlgen/subquery_exists_having_3.sql')
| -rw-r--r-- | sql/hive/src/test/resources/sqlgen/subquery_exists_having_3.sql | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/sql/hive/src/test/resources/sqlgen/subquery_exists_having_3.sql b/sql/hive/src/test/resources/sqlgen/subquery_exists_having_3.sql index 2ef38ce429..b2ed0b0557 100644 --- a/sql/hive/src/test/resources/sqlgen/subquery_exists_having_3.sql +++ b/sql/hive/src/test/resources/sqlgen/subquery_exists_having_3.sql @@ -6,4 +6,4 @@ having exists (select a.key from src a where a.value > 'val_9' and a.value = min(b.value)) -------------------------------------------------------------------------------- -SELECT `gen_attr_0` AS `key`, `gen_attr_1` AS `min(value)` FROM (SELECT `gen_attr_0`, `gen_attr_1` FROM (SELECT `gen_attr_0`, min(`gen_attr_4`) AS `gen_attr_1`, min(`gen_attr_4`) AS `gen_attr_3` FROM (SELECT `key` AS `gen_attr_0`, `value` AS `gen_attr_4` FROM `default`.`src`) AS gen_subquery_0 GROUP BY `gen_attr_0` HAVING EXISTS(SELECT `gen_attr_5` AS `1` FROM (SELECT 1 AS `gen_attr_5` FROM (SELECT `gen_attr_6`, `gen_attr_2` FROM (SELECT `key` AS `gen_attr_6`, `value` AS `gen_attr_2` FROM `default`.`src`) AS gen_subquery_3 WHERE (`gen_attr_2` > "val_9")) AS gen_subquery_2 WHERE (`gen_attr_2` = `gen_attr_3`)) AS gen_subquery_4)) AS gen_subquery_1) AS b +SELECT `gen_attr_0` AS `key`, `gen_attr_1` AS `min(value)` FROM (SELECT `gen_attr_0`, `gen_attr_1` FROM (SELECT `gen_attr_0`, min(`gen_attr_4`) AS `gen_attr_1`, min(`gen_attr_4`) AS `gen_attr_3` FROM (SELECT `key` AS `gen_attr_0`, `value` AS `gen_attr_4` FROM `default`.`src`) AS gen_subquery_0 GROUP BY `gen_attr_0` HAVING EXISTS(SELECT `gen_attr_5` AS `1` FROM (SELECT 1 AS `gen_attr_5` FROM (SELECT `gen_attr_6`, `gen_attr_2` FROM (SELECT `key` AS `gen_attr_6`, `value` AS `gen_attr_2` FROM `default`.`src`) AS gen_subquery_3 WHERE (`gen_attr_2` > 'val_9')) AS gen_subquery_2 WHERE (`gen_attr_2` = `gen_attr_3`)) AS gen_subquery_4)) AS gen_subquery_1) AS b |