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Elastic Docs ›Elasticsearch for Apache Hadoop [6.0]

Appendix C: Breaking Changes

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Appendix C: Breaking Changes

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Generally, we strive to maintain backwards compatibility between minor versions (e.g. 5.x to 5.7) so that upgrades can be done without any code or configuration changes, but breaking changes do manifest between major versions (e.g. 5.x to 6.y).

For clarity, we always list any breaking changes at the top of the release notes for each version.

Breaking Changes in 6.0

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This section discusses the changes that you should be aware of if you upgrade ES-Hadoop from version 5.x to 6.x.

Configuration Changes

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es.update.script has been deprecated in favor of the new es.update.script. inline option. The es.update.script configuration will continue to function as a legacy configuration with the same meaning as es.update.script.inline.

Pattern Formatting in Index and Type Names

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Coming soon in 6.0 is the removal of multiple types per index. All project tests were migrated to using single types where possible. This migration unearthed a problem with Pig and Cascading in regards to how those frameworks interact with the provided index/type names. During setup, Pig and Cascading attempt to parse these index names as paths, and when the index has a formatted pattern in it (like index-{event:yyyy.MM.dd}/type) the path parsing breaks. Going forward, the colon character : that delimits the field name from the format will be changed to the pipe character |. An example of the new patterned index names is index-{event|yyyy.MM.dd}/type. 5.x will support both separators, but will log a deprecation message when a colon : is encountered.

TTL and Timestamp Meta-fields

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Elasticsearch 6.0 is seeing the removal of the TTL and Timestamp meta-fields from being allowed on document index and update requests. Because of this, we will be removing the ability to specify them in 6.0 and deprecating their usage in 5.x.

Hadoop 1.x Support

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As of 6.0.0 we will no longer be testing on Hadoop 1.x versions. These versions have been considered end of life for quite a while. While the connector may continue to work for those versions, we no longer officially support them. Use these versions at your own risk!

YARN Integration Discontinued

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Due to the limitations in YARN for support of long running processes, we have decided to cease development and discontinue the YARN integration in ES-Hadoop. We thank the community for participating in the beta. If you have any questions or concerns about this, please feel free to discuss them on our forums.

Default Supported Scala Version is now 2.11

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In 6.0.0, our ES-Hadoop jar will ship with Spark compiled against Scala 2.11 by default. We will continue to support Scala 2.10 in compatibility artifacts, but the main project artifact will target Scala 2.11 by default.

Breaking Changes in 5.0

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This section discusses the changes that you should be aware of if you upgrade ES-Hadoop from version 2.x to 5.x.

Supported Hadoop Versions

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ES-Hadoop 5.0 has added support for new versions of software from the Hadoop ecosystem. Support for older versions is normally dropped during these cycles for the purposes of stability and to allow for cleanup of older code. Please note the following version compatibility changes in 5.0:

  • Support for Hive 0.13 and 0.14 has been removed. These versions of Hive are known to have serious issues that have since been repaired in 1.0. Hive 1.0 has been released for a while and a majority of distributions have already switched to it. Hive 1.0 will continue to be supported by ES-Hadoop 5.0.
  • With the addition of support for Storm 1.x, support for Storm 0.9 has been removed due to backwards compatibility issues.
  • Support for SparkSQL 1.0-1.2 has been removed. SparkSQL was originally released in Spark 1.0-1.2 as an alpha, but has since become stable in Spark 1.3 with a drastically changed API. Additionally, we have added support for Spark 2.0, which is binary-incompatible with previous versions of Spark. Instead of supporting three different version compatibilities of Spark at the same time we have decided to drop support for Spark SQL 1.0-1.2.

Names of Included Spark Jars in ES-Hadoop

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With the removal of support for Spark 1.0-1.2 and the addition of support for Spark 2.0, the names of all the Spark artifacts included in ES-Hadoop 5.0 have changed. All Spark artifacts in this release now have both of their Spark and Scala versions explicitly demarcated in their names (instead of just Scala and sometimes Spark).

Table1: Spark Jar Name Changes from 2.x to 5.x

Spark Version Scala Version ES-Hadoop 2.x name ES-Hadoop 5.x Name

1.0 - 1.2

2.10

elasticsearch-spark-1.2_2.10-2.4.0.jar

<removed>

1.0 - 1.2

2.11

elasticsearch-spark-1.2_2.11-2.4.0.jar

<removed>

1.3 - 1.6

2.10

elasticsearch-spark_2.10-2.4.0.jar

elasticsearch-spark-13_2.10-5.0.0.jar

1.3 - 1.6

2.11

elasticsearch-spark_2.11-2.4.0.jar

elasticsearch-spark-13_2.11-5.0.0.jar

2.0+

2.10

<N/A>

elasticsearch-spark-20_2.10-5.0.0.jar

2.0+

2.11

<N/A>

elasticsearch-spark-20_2.11-5.0.0.jar

HDFS Repository

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In 5.0, the HDFS Repository plugin has been all but re-built from the ground up to allow for compatibility with the changes to security policies in Elasticsearch’s plugin framework.

Code has Moved

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In 5.0, the Repository HDFS plugin has been moved to the main Elasticsearch project. The documentation page in the elasticsearch-hadoop repository has been updated with a header signaling this move.

Security

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Disabling the Java SecurityManager in Elasticsearch is no longer required for the HDFS Repository plugin to function. Elasticsearch 5.0 requires all plugins to operate properly with the configured SecurityManager. The plugin was heavily modified to allow for compatibility with this new constraint. This should allow you to maintain a secured Elasticsearch instance while still using HDFS as a location for storing snapshots.

Changes in Configurations

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Due to constraints in the underlying security system as well as changes to the way the plugin functions, the following configurations have been removed in 5.0 with no replacement options:

  • concurrent_streams
  • user_keytab
  • user_principal
  • user_principal_hostname

Supported Versions

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Previously, the HDFS Repository supported both Apache Hadoop 1.x (default) and Apache Hadoop 2.x through two distributions. In 5.0, there is now only one distribution which is built against the latest Apache Hadoop 2.x (at this time 2.7.1). The distribution for Apache Hadoop 1.x has been removed.

Version light removed

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Even if Hadoop is already installed on the Elasticsearch nodes, for security reasons, the required libraries need to be placed under the plugin folder. Because of this, the light distribution of the repository plugin which contained no Hadoop client dependencies is no longer available in 5.0.

Strict Query Parsing

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In previous versions, users were able to specify options that modify search properties in Query DSL strings provided to the client. In some cases these properties would conflict with how the framework executed searches during read operations. In 5.0, when specifying a Query DSL string, if a query field is present, its contents are extracted and all other contents are discarded (such as source or size). If there is no query field, the entire text is nested inside of the query field during execution.

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