[ 
https://issues.apache.org/jira/browse/DRILL-5544?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16039174#comment-16039174
 ] 

ASF GitHub Bot commented on DRILL-5544:
---------------------------------------

Github user vdiravka commented on a diff in the pull request:

    https://github.com/apache/drill/pull/846#discussion_r119836279
  
    --- Diff: 
exec/java-exec/src/main/java/org/apache/parquet/hadoop/ParquetColumnChunkPageWriteStore.java
 ---
    @@ -0,0 +1,269 @@
    +/*
    + * 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.parquet.hadoop;
    +
    +import static 
org.apache.parquet.column.statistics.Statistics.getStatsBasedOnType;
    +
    +import java.io.Closeable;
    +import java.io.IOException;
    +import java.util.List;
    +import java.util.Map;
    +import java.util.Set;
    +
    +import com.google.common.collect.Lists;
    +import com.google.common.collect.Maps;
    +import com.google.common.collect.Sets;
    +import 
org.apache.drill.exec.store.parquet.ParquetDirectByteBufferAllocator;
    +import org.apache.parquet.bytes.BytesInput;
    +import org.apache.parquet.bytes.CapacityByteArrayOutputStream;
    +import org.apache.parquet.column.ColumnDescriptor;
    +import org.apache.parquet.column.Encoding;
    +import org.apache.parquet.column.page.DictionaryPage;
    +import org.apache.parquet.column.page.PageWriteStore;
    +import org.apache.parquet.column.page.PageWriter;
    +import org.apache.parquet.column.statistics.Statistics;
    +import org.apache.parquet.format.converter.ParquetMetadataConverter;
    +import org.apache.parquet.hadoop.CodecFactory.BytesCompressor;
    +import org.apache.parquet.io.ParquetEncodingException;
    +import org.apache.parquet.schema.MessageType;
    +import org.apache.parquet.bytes.ByteBufferAllocator;
    +import org.slf4j.Logger;
    +import org.slf4j.LoggerFactory;
    +
    +/**
    + * This is a copy of ColumnChunkPageWriteStore from parquet library except 
of OutputStream that is used here.
    + * Using of CapacityByteArrayOutputStream allows to use different 
ByteBuffer allocators.
    --- End diff --
    
    Your first case is correct - for 10 runs * 512 (512Mb - default parquet 
block size in Drill) = 5Gb or for 40 runs we need 20Gb of memory. It is so much 
for heap memory, but ok for direct one. And we can control how much data can be 
buffered before writing to the disk with `store.parquet.block-size` option. 


> Out of heap running CTAS against text delimited
> -----------------------------------------------
>
>                 Key: DRILL-5544
>                 URL: https://issues.apache.org/jira/browse/DRILL-5544
>             Project: Apache Drill
>          Issue Type: Bug
>          Components: Storage - Parquet
>    Affects Versions: 1.10.0
>         Environment: - 2 or 4 nodes cluster
> - 4G or 8G of Java heap and more than 8G of direct memory
> - planner.width.max_per_node = 40
> - store.parquet.compression = none
> To generate lineitem.tbl file unzip dbgen.tgz archive and run:
> {code}dbgen -TL -s 500{code}
>            Reporter: Vitalii Diravka
>            Assignee: Vitalii Diravka
>             Fix For: 1.11.0
>
>         Attachments: dbgen.tgz
>
>
> This query causes the drillbit to hang:
> {code}
> create table xyz as
> select
> cast(columns[0] as bigint) l_orderkey,
> cast(columns[1] as integer) l_poartkey,
> cast(columns[2] as integer) l_suppkey,
> cast(columns[3] as integer) l_linenumber,
> cast(columns[4] as double) l_quantity,
> cast(columns[5] as double) l_extendedprice,
> cast(columns[6] as double) l_discount,
> cast(columns[7] as double) l_tax,
> cast(columns[8] as char(1)) l_returnflag,
> cast(columns[9] as char(1)) l_linestatus,
> cast(columns[10] as date) l_shipdate,
> cast(columns[11] as date) l_commitdate,
> cast(columns[12] as date) l_receiptdate,
> cast(columns[13] as char(25)) l_shipinstruct,
> cast(columns[14] as char(10)) l_shipmode,
> cast(columns[15] as varchar(44)) l_comment
> from
> `lineitem.tbl`;
> {code}
> OOM "Java heap space" from the drillbit.log:
> {code:title=drillbit.log|borderStyle=solid}
> ...
> 2017-02-07 22:38:11,031 [2765b496-0b5b-a3df-c252-a8bb9cd2e52f:frag:1:53] 
> DEBUG o.a.d.e.s.p.ParquetDirectByteBufferAllocator - 
> ParquetDirectByteBufferAllocator: Allocated 209715 bytes. Allocated 
> ByteBuffer id: 1563631814
> 2017-02-07 22:38:16,478 [2765b496-0b5b-a3df-c252-a8bb9cd2e52f:frag:1:1] ERROR 
> o.a.d.exec.server.BootStrapContext - 
> org.apache.drill.exec.work.WorkManager$WorkerBee$1.run() leaked an exception.
> java.lang.OutOfMemoryError: Java heap space
> 2017-02-07 22:38:17,391 [2765b496-0b5b-a3df-c252-a8bb9cd2e52f:frag:1:13] 
> ERROR o.a.drill.common.CatastrophicFailure - Catastrophic Failure Occurred, 
> exiting. Information message: Unable to handle out of memory condition in 
> FragmentExecutor.
> ...
> {code}
> To reproduce the issue please see environment details.



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