You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Eric Sun (Jira)" <ji...@apache.org> on 2019/09/20 23:09:01 UTC

[jira] [Created] (SPARK-29195) Can't config orc.compress.size option for native ORC writer

Eric Sun created SPARK-29195:
--------------------------------

             Summary: Can't config orc.compress.size option for native ORC writer
                 Key: SPARK-29195
                 URL: https://issues.apache.org/jira/browse/SPARK-29195
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 2.3.0
         Environment: Spark 2.3.0

Executor Log:


impl.WriterImpl: ORC writer created for path: hdfs://name_node_host:9000/foo/bar/_temporary/0/_temporary/attempt_20190920222359_0001_m_000127_0/part-00127-2a9a9287-54bf-441c-b3cf-718b122d9c2f_00127.c000.zlib.orc with stripeSize: 67108864 blockSize: 268435456 compression: ZLIB bufferSize: 65536

File Output Committer Algorithm version is 2
            Reporter: Eric Sun


 Only codec can be effectively configured via code, but "orc.compress.size" or "orc.row.index.stride" can not.

 
{code:java}
// try
  val spark = SparkSession
    .builder()
    .appName(appName)
    .enableHiveSupport()
    .config("spark.sql.orc.impl", "native")
    .config("orc.compress.size", 512 * 1024)
    .config("spark.sql.orc.compress.size", 512 * 1024)
    .config("hive.exec.orc.default.buffer.size", 512 * 1024)
    .config("spark.hadoop.io.file.buffer.size", 512 * 1024)
    .getOrCreate()
{code}

orcfiledump still shows:
 
{code:java}
File Version: 0.12 with FUTURE

Compression: ZLIB
Compression size: 65536
{code}
 

According to [SPARK-23342], the other ORC options should be configurable. Is there anything missing here?
Is there any other way to affect "orc.compress.size"?



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org