leesf commented on a change in pull request #2808:
URL: https://github.com/apache/hudi/pull/2808#discussion_r612387947
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File path:
hudi-client/hudi-flink-client/src/main/java/org/apache/hudi/client/HoodieFlinkWriteClient.java
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@@ -162,17 +162,54 @@ public void bootstrap(Option<Map<String, String>>
extraMetadata) {
table.validateUpsertSchema();
preWrite(instantTime, WriteOperationType.INSERT, table.getMetaClient());
// create the write handle if not exists
- final HoodieRecord<T> record = records.get(0);
- final boolean isDelta =
table.getMetaClient().getTableType().equals(HoodieTableType.MERGE_ON_READ);
- final HoodieWriteHandle<?, ?, ?, ?> writeHandle =
getOrCreateWriteHandle(record, isDelta, getConfig(),
- instantTime, table, record.getPartitionPath(), records.listIterator());
+ final HoodieWriteHandle<?, ?, ?, ?> writeHandle =
getOrCreateWriteHandle(records.get(0), getConfig(),
+ instantTime, table, records.listIterator());
HoodieWriteMetadata<List<WriteStatus>> result = ((HoodieFlinkTable<T>)
table).insert(context, writeHandle, instantTime, records);
if (result.getIndexLookupDuration().isPresent()) {
metrics.updateIndexMetrics(LOOKUP_STR,
result.getIndexLookupDuration().get().toMillis());
}
return postWrite(result, instantTime, table);
}
+ /**
+ * Removes all existing records from the partitions affected and inserts the
given HoodieRecords, into the table.
+ *
+ * @param records HoodieRecords to insert
+ * @param instantTime Instant time of the commit
+ * @return list of WriteStatus to inspect errors and counts
+ */
+ public List<WriteStatus> insertOverwrite(
Review comment:
@danny0405 would you please file a jira to track this work? I think the
methods(insertOverwrite /insertOverwriteTable) between SparkRDDWriteClient and
HoodieFlinkWriteClient would be unified.
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