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[SPARK-10584][SQL][DOC] Documentation about the compatible Hive version is wrong. #8776
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@@ -1954,7 +1954,7 @@ without the need to write any code. | |
| ## Running the Thrift JDBC/ODBC server | ||
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| The Thrift JDBC/ODBC server implemented here corresponds to the [`HiveServer2`](https://cwiki.apache.org/confluence/display/Hive/Setting+Up+HiveServer2) | ||
| in Hive 0.13. You can test the JDBC server with the beeline script that comes with either Spark or Hive 0.13. | ||
| in Hive 1.2.1 You can test the JDBC server with the beeline script that comes with either Spark or Hive 1.2.1. | ||
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| To start the JDBC/ODBC server, run the following in the Spark directory: | ||
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@@ -2261,7 +2261,7 @@ Several caching related features are not supported yet: | |
| ## Compatibility with Apache Hive | ||
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| Spark SQL is designed to be compatible with the Hive Metastore, SerDes and UDFs. Currently Spark | ||
| SQL is based on Hive 0.12.0 and 0.13.1. | ||
| SQL is based on Hive 0.12.0 and 1.2.1. | ||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. How about we say that Hive SerDes and UDFs are based on Hive 1.2.1, and Spark SQL can be connected to different versions of Hive Metastore (from 0.12.0 to 1.2.1. Also see http://spark.apache.org/docs/latest/sql-programming-guide.html#interacting-with-different-versions-of-hive-metastore). @marmbrus What do you think?
Member
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Yeah, it's more clear. Thanks for your suggestion. |
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| #### Deploying in Existing Hive Warehouses | ||
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@liancheng We should say Hive 1.2.1 at here, right?
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Yeah right.