b4ec9e2304
### What changes were proposed in this pull request? Instantiate a new Hive client through `Hive.getWithFastCheck(conf, false)` instead of `Hive.get(conf)`. ### Why are the changes needed? [HIVE-10319](https://issues.apache.org/jira/browse/HIVE-10319) introduced a new API `get_all_functions` which is only supported in Hive 1.3.0/2.0.0 and up. As result, when Spark 3.x talks to a HMS service of version 1.2 or lower, the following error will occur: ``` Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: org.apache.thrift.TApplicationException: Invalid method name: 'get_all_functions' at org.apache.hadoop.hive.ql.metadata.Hive.getAllFunctions(Hive.java:3897) at org.apache.hadoop.hive.ql.metadata.Hive.reloadFunctions(Hive.java:248) at org.apache.hadoop.hive.ql.metadata.Hive.registerAllFunctionsOnce(Hive.java:231) ... 96 more Caused by: org.apache.thrift.TApplicationException: Invalid method name: 'get_all_functions' at org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:79) at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.recv_get_all_functions(ThriftHiveMetastore.java:3845) at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.get_all_functions(ThriftHiveMetastore.java:3833) ``` The `get_all_functions` is called only when `doRegisterAllFns` is set to true: ```java private Hive(HiveConf c, boolean doRegisterAllFns) throws HiveException { conf = c; if (doRegisterAllFns) { registerAllFunctionsOnce(); } } ``` what this does is to register all Hive permanent functions defined in HMS in Hive's `FunctionRegistry` class, via iterating through results from `get_all_functions`. To Spark, this seems unnecessary as it loads Hive permanent (not built-in) UDF via directly calling the HMS API, i.e., `get_function`. The `FunctionRegistry` is only used in loading Hive's built-in function that is not supported by Spark. At this time, it only applies to `histogram_numeric`. ### Does this PR introduce _any_ user-facing change? Yes with this fix Spark now should be able to talk to HMS server with Hive 1.2.x and lower (with HIVE-24608 too) ### How was this patch tested? Manually started a HMS server of Hive version 1.2.2, with patched Hive 2.3.8 using HIVE-24608. Without the PR it failed with the above exception. With the PR the error disappeared and I can successfully perform common operations such as create table, create database, list tables, etc. Closes #32446 from sunchao/SPARK-35321. Authored-by: Chao Sun <sunchao@apache.org> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> |
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| .. | ||
| catalyst | ||
| core | ||
| hive | ||
| hive-thriftserver | ||
| create-docs.sh | ||
| gen-sql-api-docs.py | ||
| gen-sql-config-docs.py | ||
| gen-sql-functions-docs.py | ||
| mkdocs.yml | ||
| README.md | ||
Spark SQL
This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.
Spark SQL is broken up into four subprojects:
- Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
- Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
- Hive Support (sql/hive) - Includes extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow users to run queries that include Hive UDFs, UDAFs, and UDTFs.
- HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.
Running ./sql/create-docs.sh generates SQL documentation for built-in functions under sql/site, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.