gatorsmile 94f14b52a6 [SPARK-16556][SPARK-16559][SQL] Fix Two Bugs in Bucket Specification ... ### What changes were proposed in this pull request? **Issue 1: Silent Ignorance of Bucket Specification When Creating Table Using Schema Inference** When creating a data source table without explicit specification of schema or SELECT clause, we silently ignore the bucket specification (CLUSTERED BY... SORTED BY...) in [the code](ce3b98bae2/sql/core/src/main/scala/org/apache/spark/sql/execution/command/createDataSourceTables.scala (L339-L354)). For example, ```SQL CREATE TABLE jsonTable USING org.apache.spark.sql.json OPTIONS ( path '${tempDir.getCanonicalPath}' ) CLUSTERED BY (inexistentColumnA) SORTED BY (inexistentColumnB) INTO 2 BUCKETS ``` This PR captures it and issues an error message. **Issue 2: Got a run-time `java.lang.ArithmeticException` when num of buckets is set to zero.** For example, ```SQL CREATE TABLE t USING PARQUET OPTIONS (PATH '${path.toString}') CLUSTERED BY (a) SORTED BY (b) INTO 0 BUCKETS AS SELECT 1 AS a, 2 AS b ``` The exception we got is ``` ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 1.0 (TID 2) java.lang.ArithmeticException: / by zero ``` This PR captures the misuse and issues an appropriate error message. ### How was this patch tested? Added a test case in DDLSuite Author: gatorsmile <gatorsmile@gmail.com> Closes #14210 from gatorsmile/createTableWithoutSchema.		2016-07-22 13:27:17 +08:00
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benchmarks	[SPARK-15881] Update microbenchmark results for WideSchemaBenchmark	2016-06-11 15:26:08 -07:00
src	[SPARK-16556][SPARK-16559][SQL] Fix Two Bugs in Bucket Specification	2016-07-22 13:27:17 +08:00
pom.xml	[SPARK-16535][BUILD] In pom.xml, remove groupId which is redundant definition and inherited from the parent	2016-07-19 11:59:46 +01:00