Kent Yao bdd3b49026 [SPARK-36552][SQL] Fix different behavior for writing char/varchar to hive and datasource table ... ### What changes were proposed in this pull request? For the hive table, the actual write path and the schema handling are inconsistent when `spark.sql.legacy.charVarcharAsString` is true. This causes problems like SPARK-36552 described. In this PR we respect `spark.sql.legacy.charVarcharAsString` when generates hive table schema from spark data types. ### Why are the changes needed? bugfix ### Does this PR introduce _any_ user-facing change? yes, when `spark.sql.legacy.charVarcharAsString` is true, hive table with char/varchar will respect string behavior. ### How was this patch tested? newly added test Closes #33798 from yaooqinn/SPARK-36552. Authored-by: Kent Yao <yao@apache.org> Signed-off-by: Hyukjin Kwon <gurwls223@apache.org> (cherry picked from commit f918c123a0) Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>		2021-08-22 09:38:54 +09:00
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benchmarks	[SPARK-34950][TESTS] Update benchmark results to the ones created by GitHub Actions machines	2021-04-03 23:02:56 +03:00
compatibility/src/test/scala/org/apache/spark/sql/hive/execution	Revert "[SPARK-33428][SQL] Conv UDF use BigInt to avoid Long value overflow"	2021-03-16 13:56:50 +08:00
src	[SPARK-36552][SQL] Fix different behavior for writing char/varchar to hive and datasource table	2021-08-22 09:38:54 +09:00
pom.xml	Preparing development version 3.2.1-SNAPSHOT	2021-08-20 12:40:47 +00:00