[
https://issues.apache.org/jira/browse/HIVE-26183?focusedWorklogId=763478&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-763478
]
ASF GitHub Bot logged work on HIVE-26183:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 28/Apr/22 12:36
Start Date: 28/Apr/22 12:36
Worklog Time Spent: 10m
Work Description: marton-bod commented on code in PR #3251:
URL: https://github.com/apache/hive/pull/3251#discussion_r860836342
##########
iceberg/iceberg-handler/src/main/java/org/apache/iceberg/mr/hive/HiveIcebergBufferedDeleteWriter.java:
##########
@@ -0,0 +1,166 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied. See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.iceberg.mr.hive;
+
+import java.io.IOException;
+import java.util.Collection;
+import java.util.Map;
+import java.util.TreeSet;
+import java.util.concurrent.ConcurrentLinkedQueue;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.io.Writable;
+import org.apache.iceberg.DeleteFile;
+import org.apache.iceberg.FileFormat;
+import org.apache.iceberg.MetadataColumns;
+import org.apache.iceberg.PartitionKey;
+import org.apache.iceberg.PartitionSpec;
+import org.apache.iceberg.Schema;
+import org.apache.iceberg.data.GenericRecord;
+import org.apache.iceberg.data.InternalRecordWrapper;
+import org.apache.iceberg.data.Record;
+import org.apache.iceberg.deletes.PositionDelete;
+import org.apache.iceberg.io.ClusteredPositionDeleteWriter;
+import org.apache.iceberg.io.DeleteWriteResult;
+import org.apache.iceberg.io.FileIO;
+import org.apache.iceberg.io.FileWriterFactory;
+import org.apache.iceberg.io.OutputFileFactory;
+import org.apache.iceberg.io.PartitioningWriter;
+import org.apache.iceberg.mr.mapred.Container;
+import org.apache.iceberg.relocated.com.google.common.collect.Maps;
+import
org.apache.iceberg.relocated.com.google.common.util.concurrent.ThreadFactoryBuilder;
+import org.apache.iceberg.util.Tasks;
+import org.roaringbitmap.longlong.Roaring64Bitmap;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+public class HiveIcebergBufferedDeleteWriter implements HiveIcebergWriter {
Review Comment:
Can we some javadoc detailing how its behaviour differs from the vanilla
DeleteWriter?
Issue Time Tracking
-------------------
Worklog Id: (was: 763478)
Time Spent: 20m (was: 10m)
> Create delete writer for the UPDATE statemens
> ---------------------------------------------
>
> Key: HIVE-26183
> URL: https://issues.apache.org/jira/browse/HIVE-26183
> Project: Hive
> Issue Type: Sub-task
> Reporter: Peter Vary
> Priority: Major
> Labels: pull-request-available
> Time Spent: 20m
> Remaining Estimate: 0h
>
> During the investigation of the updates of partitioned table we had the
> following issue:
> - Iceberg inserts are needed to be sorted by the new partition keys
> - Iceberg deletes are needed to be sorted by the old partition keys and
> filenames
> This could contradict each other. OTOH Hive updates create a single query and
> writes out the insert/delete record for ever row. This would mean plenty of
> open writers.
> We might want to create something like a
> https://github.com/apache/iceberg/blob/master/core/src/main/java/org/apache/iceberg/io/SortedPosDeleteWriter.java,
> but we do not want to keep the whole rows in memory.
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