lirui-apache commented on a change in pull request #8614: [FLINK-12727][hive]
Make HiveTableOutputFormat support writing partitioned table
URL: https://github.com/apache/flink/pull/8614#discussion_r292344599
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File path:
flink-connectors/flink-connector-hive/src/main/java/org/apache/flink/batch/connectors/hive/HiveTableOutputFormat.java
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@@ -268,11 +293,52 @@ public void writeRecord(Row record) throws IOException {
try {
HivePartitionWriter partitionWriter = staticWriter;
if (isDynamicPartition) {
- // TODO: to be implemented
+ LinkedHashMap<String, String> dynPartSpec = new
LinkedHashMap<>();
+ // only need to check the dynamic partitions
+ final int numStaticPart =
hiveTablePartition.getPartitionSpec().size();
+ for (int i = dynPartOffset; i <
record.getArity(); i++) {
+ // TODO: seems Hive also just calls
toString(), need further investigation to confirm
+ // TODO: validate partition value
+ String partVal =
record.getField(i).toString();
+ dynPartSpec.put(partitionCols.get(i -
dynPartOffset + numStaticPart), partVal);
+ }
+ String partName =
Warehouse.makePartPath(dynPartSpec);
+ partitionWriter =
partitionToWriter.get(partName);
+ if (partitionWriter == null) {
+ String stagingDir =
hiveTablePartition.getStorageDescriptor().getLocation();
+ partitionWriter =
writerForLocation(stagingDir + Path.SEPARATOR + partName);
+ partitionToWriter.put(partName,
partitionWriter);
+ }
}
partitionWriter.recordWriter.write(serializer.serialize(getConvertedRow(record),
rowObjectInspector));
} catch (IOException | SerDeException e) {
throw new IOException("Could not write Record.", e);
+ } catch (MetaException e) {
+ throw new CatalogException(e);
+ }
+ }
+
+ // load a single partition
+ private void loadPartition(Path srcDir, Table table, Map<String,
String> partSpec, HiveMetastoreClientWrapper client)
Review comment:
We need non-static fields like `tableName` and `hiveTablePartition`
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