Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/3920#discussion_r24187984
--- Diff:
examples/src/main/scala/org/apache/spark/examples/pythonconverters/HBaseConverters.scala
---
@@ -23,15 +23,27 @@ import org.apache.spark.api.python.Converter
import org.apache.hadoop.hbase.client.{Put, Result}
import org.apache.hadoop.hbase.io.ImmutableBytesWritable
import org.apache.hadoop.hbase.util.Bytes
+import org.apache.hadoop.hbase.KeyValue.Type
+import org.apache.hadoop.hbase.CellUtil
/**
- * Implementation of [[org.apache.spark.api.python.Converter]] that
converts an
- * HBase Result to a String
+ * Implementation of [[org.apache.spark.api.python.Converter]] that
converts all
+ * the records in an HBase Result to a String
*/
class HBaseResultToStringConverter extends Converter[Any, String] {
override def convert(obj: Any): String = {
+ import collection.JavaConverters._
val result = obj.asInstanceOf[Result]
- Bytes.toStringBinary(result.value())
+ val output = result.listCells.asScala.map(cell =>
+
"{'columnFamily':'%s','qualifier':'%s','timestamp':'%s','type':'%s','value':'%s'}".format(
--- End diff --
We could the converter still return a string, but in json format, then we
could decode them in Python using simplejson. Json library will do the escaping
for us.
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