meszibalu commented on a change in pull request #39: HBASE-22711 Spark
connector doesn't use the given mapping when inserting data
URL: https://github.com/apache/hbase-connectors/pull/39#discussion_r305807875
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File path:
spark/hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/datasources/Utils.scala
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@@ -73,28 +74,19 @@ object Utils {
val record = field.catalystToAvro(input)
AvroSerdes.serialize(record, field.schema.get)
} else {
- input match {
- case data: Boolean => Bytes.toBytes(data)
- case data: Byte => Array(data)
- case data: Array[Byte] => data
- case data: Double => Bytes.toBytes(data)
- case data: Float => Bytes.toBytes(data)
- case data: Int => Bytes.toBytes(data)
- case data: Long => Bytes.toBytes(data)
- case data: Short => Bytes.toBytes(data)
- case data: UTF8String => data.getBytes
- case data: String => Bytes.toBytes(data)
- // TODO: add more data type support
+ field.dt match {
+ case BooleanType => Bytes.toBytes(input.asInstanceOf[Boolean])
+ case ByteType => Array(input.asInstanceOf[Number].byteValue)
+ case ShortType => Bytes.toBytes(input.asInstanceOf[Number].shortValue)
+ case IntegerType => Bytes.toBytes(input.asInstanceOf[Number].intValue)
+ case LongType => Bytes.toBytes(input.asInstanceOf[Number].longValue)
+ case FloatType => Bytes.toBytes(input.asInstanceOf[Number].floatValue)
+ case DoubleType =>
Bytes.toBytes(input.asInstanceOf[Number].doubleValue)
+ case DateType | TimestampType =>
Bytes.toBytes(input.asInstanceOf[java.util.Date].getTime)
Review comment:
In `java.sql` there are to different types: `Date` and `Timestamp`. Both of
them are subclasses of `java.util.Date` so they can be treated the same during
serialization but they should be deserialized differently.
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