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[SPARK-24002] [SQL] Task not serializable caused by org.apache.parquet.io.api.Binary$ByteBufferBackedBinary.getBytes #21086

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[SPARK-24002] [SQL] Task not serializable caused by org.apache.parquet.io.api.Binary$ByteBufferBackedBinary.getBytes #21086

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27 changes: 14 additions & 13 deletions ...src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -321,19 +321,6 @@ class ParquetFileFormat
SQLConf.PARQUET_INT96_AS_TIMESTAMP.key,
sparkSession.sessionState.conf.isParquetINT96AsTimestamp)

// Try to push down filters when filter push-down is enabled.
val pushed =
if (sparkSession.sessionState.conf.parquetFilterPushDown) {
filters
// Collects all converted Parquet filter predicates. Notice that not all predicates can be
// converted (`ParquetFilters.createFilter` returns an `Option`). That's why a `flatMap`
// is used here.
.flatMap(ParquetFilters.createFilter(requiredSchema, _))
.reduceOption(FilterApi.and)
} else {
None
}

val broadcastedHadoopConf =
sparkSession.sparkContext.broadcast(new SerializableConfiguration(hadoopConf))

Expand All @@ -351,12 +338,26 @@ class ParquetFileFormat
val timestampConversion: Boolean =
sparkSession.sessionState.conf.isParquetINT96TimestampConversion
val capacity = sqlConf.parquetVectorizedReaderBatchSize
val enableParquetFilterPushDown: Boolean =
sparkSession.sessionState.conf.parquetFilterPushDown
// Whole stage codegen (PhysicalRDD) is able to deal with batches directly
val returningBatch = supportBatch(sparkSession, resultSchema)

(file: PartitionedFile) => {
assert(file.partitionValues.numFields == partitionSchema.size)

// Try to push down filters when filter push-down is enabled.
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@ghoto ghoto May 16, 2018 •
edited
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So this code is the same as before. How can this solve the bug described in the head of the Conversation?
@gatorsmile

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Now the code is inside the read function, which will be executed at executor side. Thus we don't need to serialize ParquetFilters.

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I see, thanks.

val pushed = if (enableParquetFilterPushDown) {
filters
// Collects all converted Parquet filter predicates. Notice that not all predicates can be
// converted (`ParquetFilters.createFilter` returns an `Option`). That's why a `flatMap`
// is used here.
.flatMap(ParquetFilters.createFilter(requiredSchema, _))
.reduceOption(FilterApi.and)
} else {
None
}

val fileSplit =
new FileSplit(new Path(new URI(file.filePath)), file.start, file.length, Array.empty)

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