eaton created SPARK-26012:
-----------------------------
Summary: Dynamic partition will fail when both '' and null values
are taken as dynamic partition values simultaneously.
Key: SPARK-26012
URL: https://issues.apache.org/jira/browse/SPARK-26012
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 2.4.0
Reporter: eaton
Dynamic partition will fail when both '' and null values are taken as dynamic
partition values simultaneously.
For example, the test bellow will fail before this PR:
test("Null and '' values should not cause dynamic partition failure of string
types") {
withTable("t1", "t2") {
spark.range(3).write.saveAsTable("t1")
spark.sql("select id, cast(case when id = 1 then '' else null end as string)
as p" +
" from t1").write.partitionBy("p").saveAsTable("t2")
checkAnswer(spark.table("t2").sort("id"), Seq(Row(0, null), Row(1, null),
Row(2, null)))
}
}
The error is: 'org.apache.hadoop.fs.FileAlreadyExistsException: File already
exists'.
Caused by: org.apache.hadoop.fs.FileAlreadyExistsException: File already
exists:
file:/F:/learning/spark/spark_master/spark_compile/spark-warehouse/t2/_temporary/0/_temporary/attempt_20181111204354_0001_m_000000_0/p=__HIVE_DEFAULT_PARTITION__/part-00000-96217c96-3695-4f18-b0db-4f35a9078a3d.c000.snappy.parquet
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:289)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:328)
at
org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSOutputSummer.<init>(ChecksumFileSystem.java:398)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:461)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892)
at
org.apache.parquet.hadoop.util.HadoopOutputFile.create(HadoopOutputFile.java:74)
at
org.apache.parquet.hadoop.ParquetFileWriter.<init>(ParquetFileWriter.java:248)
at
org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:390)
at
org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:349)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.<init>(ParquetOutputWriter.scala:37)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anon$1.newInstance(ParquetFileFormat.scala:151)
at
org.apache.spark.sql.execution.datasources.DynamicPartitionDataWriter.newOutputWriter(FileFormatDataWriter.scala:236)
at
org.apache.spark.sql.execution.datasources.DynamicPartitionDataWriter.write(FileFormatDataWriter.scala:260)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:242)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:239)
at
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1394)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:245)
... 10 more
20:43:55.460 WARN
org.apache.spark.sql.execution.datasources.FileFormatWriterSuite:
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