sadikovi commented on code in PR #37654:
URL: https://github.com/apache/spark/pull/37654#discussion_r982881822
##########
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala:
##########
@@ -72,87 +69,9 @@ class ParquetFileFormat
job: Job,
options: Map[String, String],
dataSchema: StructType): OutputWriterFactory = {
- val parquetOptions = new ParquetOptions(options,
sparkSession.sessionState.conf)
-
- val conf = ContextUtil.getConfiguration(job)
-
- val committerClass =
- conf.getClass(
- SQLConf.PARQUET_OUTPUT_COMMITTER_CLASS.key,
- classOf[ParquetOutputCommitter],
- classOf[OutputCommitter])
-
- if (conf.get(SQLConf.PARQUET_OUTPUT_COMMITTER_CLASS.key) == null) {
- logInfo("Using default output committer for Parquet: " +
- classOf[ParquetOutputCommitter].getCanonicalName)
- } else {
- logInfo("Using user defined output committer for Parquet: " +
committerClass.getCanonicalName)
- }
-
- conf.setClass(
- SQLConf.OUTPUT_COMMITTER_CLASS.key,
- committerClass,
- classOf[OutputCommitter])
-
- // We're not really using `ParquetOutputFormat[Row]` for writing data
here, because we override
- // it in `ParquetOutputWriter` to support appending and dynamic
partitioning. The reason why
- // we set it here is to setup the output committer class to
`ParquetOutputCommitter`, which is
- // bundled with `ParquetOutputFormat[Row]`.
- job.setOutputFormatClass(classOf[ParquetOutputFormat[Row]])
-
- ParquetOutputFormat.setWriteSupportClass(job, classOf[ParquetWriteSupport])
-
- // This metadata is useful for keeping UDTs like Vector/Matrix.
- ParquetWriteSupport.setSchema(dataSchema, conf)
-
- // Sets flags for `ParquetWriteSupport`, which converts Catalyst schema to
Parquet
- // schema and writes actual rows to Parquet files.
- conf.set(
- SQLConf.PARQUET_WRITE_LEGACY_FORMAT.key,
- sparkSession.sessionState.conf.writeLegacyParquetFormat.toString)
-
- conf.set(
- SQLConf.PARQUET_OUTPUT_TIMESTAMP_TYPE.key,
- sparkSession.sessionState.conf.parquetOutputTimestampType.toString)
-
- conf.set(
- SQLConf.PARQUET_FIELD_ID_WRITE_ENABLED.key,
- sparkSession.sessionState.conf.parquetFieldIdWriteEnabled.toString)
-
- conf.set(
- SQLConf.PARQUET_TIMESTAMP_NTZ_ENABLED.key,
Review Comment:
I think we just forgot to add it to DSv2. Thanks for fixing it.
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