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[SPARK-29448][SQL] Support the INTERVAL type by Parquet datasource #26102

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[SPARK-29448][SQL] Support the INTERVAL type by Parquet datasource #26102

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1c64fb1
Support the interval type in schemas
MaxGekk Oct 10, 2019
0769585
Support the interval type in ColumnarBatchRow
MaxGekk Oct 10, 2019
cfcecf1
Fix imports
MaxGekk Oct 10, 2019
c7889ed
Support writing and reading intervals
MaxGekk Oct 12, 2019
4563a4e
Remove unused variable
MaxGekk Oct 12, 2019
83b4bf2
Fix coding style
MaxGekk Oct 12, 2019
81ef7be
Exclude parquet from checking
MaxGekk Oct 12, 2019
de0872e
Exclude parquet from checks of unsupported interval
MaxGekk Oct 12, 2019
281f62b
Combine AtomicType and CalendarIntervalType in supportDataType()
MaxGekk Oct 14, 2019
232b1fb
Replace timestampBuffer and intervalBuffer by reusableBuffer
MaxGekk Oct 14, 2019
3f6ad61
Move unsupported type check to checkUnsupportedTypes()
MaxGekk Oct 14, 2019
c260622
Add more tests to ParquetQuerySuite
MaxGekk Oct 14, 2019
8fd037b
Merge remote-tracking branch 'origin/master' into parquet-interval
MaxGekk Oct 25, 2019
032a2ea
CalendarInterval.fromString -> IntervalUtils.fromString
MaxGekk Oct 25, 2019
6834f1e
Merge remote-tracking branch 'remotes/origin/master' into parquet-int…
MaxGekk Nov 1, 2019
712378c
Rebase on new field - days
MaxGekk Nov 1, 2019
cf8023a
Add one more test
MaxGekk Nov 1, 2019
8fa4a0d
Merge remote-tracking branch 'remotes/origin/master' into parquet-int…
MaxGekk Dec 10, 2019
9041110
Rebase on the master
MaxGekk Dec 10, 2019
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Replace timestampBuffer and intervalBuffer by reusableBuffer
  • Loading branch information
@MaxGekk
MaxGekk committed Oct 14, 2019
commit 232b1fb709972edf7b17958f7d4dd07369999520
14 changes: 6 additions & 8 deletions ...c/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetWriteSupport.scala
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Expand Up @@ -71,10 +71,8 @@ class ParquetWriteSupport extends WriteSupport[InternalRow] with Logging {
private var outputTimestampType: SQLConf.ParquetOutputTimestampType.Value = _

// Reusable byte array used to write timestamps as Parquet INT96 values
private val timestampBuffer = new Array[Byte](12)

// Reusable byte array used to write intervals as Parquet FIXED_LEN_BYTE_ARRAY values
private val intervalBuffer = new Array[Byte](12)
// or intervals as Parquet FIXED_LEN_BYTE_ARRAY values
private val reusableBuffer = new Array[Byte](12)

// Reusable byte array used to write decimal values
private val decimalBuffer =
Expand Down Expand Up @@ -176,9 +174,9 @@ class ParquetWriteSupport extends WriteSupport[InternalRow] with Logging {
case SQLConf.ParquetOutputTimestampType.INT96 =>
(row: SpecializedGetters, ordinal: Int) =>
val (julianDay, timeOfDayNanos) = DateTimeUtils.toJulianDay(row.getLong(ordinal))
val buf = ByteBuffer.wrap(timestampBuffer)
val buf = ByteBuffer.wrap(reusableBuffer)
buf.order(ByteOrder.LITTLE_ENDIAN).putLong(timeOfDayNanos).putInt(julianDay)
recordConsumer.addBinary(Binary.fromReusedByteArray(timestampBuffer))
recordConsumer.addBinary(Binary.fromReusedByteArray(reusableBuffer))

case SQLConf.ParquetOutputTimestampType.TIMESTAMP_MICROS =>
(row: SpecializedGetters, ordinal: Int) =>
Expand Down Expand Up @@ -216,12 +214,12 @@ class ParquetWriteSupport extends WriteSupport[InternalRow] with Logging {
val microseconds = interval.microseconds % DateTimeUtils.MICROS_PER_DAY
val milliseconds: Int = (microseconds / DateTimeUtils.MICROS_PER_MILLIS).toInt
val days: Int = Math.toIntExact(interval.microseconds / DateTimeUtils.MICROS_PER_DAY)
val buf = ByteBuffer.wrap(intervalBuffer)
val buf = ByteBuffer.wrap(reusableBuffer)
buf.order(ByteOrder.LITTLE_ENDIAN)
.putInt(milliseconds)
.putInt(days)
.putInt(interval.months)
recordConsumer.addBinary(Binary.fromReusedByteArray(intervalBuffer))
recordConsumer.addBinary(Binary.fromReusedByteArray(reusableBuffer))

case _ => sys.error(s"Unsupported data type $dataType.")
}
Expand Down