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From "Dongjoon Hyun (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-24576) Upgrade Apache ORC to 1.5.2
Date Mon, 09 Jul 2018 04:09:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-24576?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Dongjoon Hyun updated SPARK-24576:
----------------------------------
    Description: 
This issue aims to upgrade Apache ORC library from 1.4.4 to 1.5.1 in order to bring the following
benefits into Apache Spark.
 * ORC-91 Support for variable length blocks in HDFS (The current space wasted in ORC to padding
is known to be 5%.)
 * ORC-344 Support for using Decimal64ColumnVector

In addition to that, Apache Hive 3.1.0 will use ORC 1.5.1 (HIVE-19669). This will improve
the compatibility between Apache Spark and Apache Hive.

  was:
This issue aims to upgrade Apache ORC library from 1.4.4 to 1.5.1 in order to bring the following
benefits into Apache Spark.
 * ORC-91 Support for variable length blocks in HDFS (The current space wasted in ORC to padding
is known to be 5%.)
 * ORC-234 Support for older versions of Hadoop (>= 2.2.x)
 * ORC-344 Support for using Decimal64ColumnVector

In addition to that, Apache Hive 3.1.0 will use ORC 1.5.1 (HIVE-19669). This will improve
the compatibility between Apache Spark and Apache Hive.


>  Upgrade Apache ORC to 1.5.2
> ----------------------------
>
>                 Key: SPARK-24576
>                 URL: https://issues.apache.org/jira/browse/SPARK-24576
>             Project: Spark
>          Issue Type: Improvement
>          Components: Build
>    Affects Versions: 2.4.0
>            Reporter: Dongjoon Hyun
>            Priority: Major
>
> This issue aims to upgrade Apache ORC library from 1.4.4 to 1.5.1 in order to bring the
following benefits into Apache Spark.
>  * ORC-91 Support for variable length blocks in HDFS (The current space wasted in ORC
to padding is known to be 5%.)
>  * ORC-344 Support for using Decimal64ColumnVector
> In addition to that, Apache Hive 3.1.0 will use ORC 1.5.1 (HIVE-19669). This will improve
the compatibility between Apache Spark and Apache Hive.



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