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https://issues.apache.org/jira/browse/SPARK-26012?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-26012:
------------------------------------
Assignee: (was: Apache Spark)
> 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
> Priority: Major
>
> 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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