1de3fc4282
### What changes were proposed in this pull request? We supported Hive metastore are 0.12.0 through 3.1.2, but we supported hive-jdbc are 0.12.0 through 2.3.7. It will throw `TProtocolException` if we use hive-jdbc 3.x: ``` [rootspark-3267648 apache-hive-3.1.2-bin]# bin/beeline -u jdbc:hive2://localhost:10000/default Connecting to jdbc:hive2://localhost:10000/default Connected to: Spark SQL (version 3.1.0-SNAPSHOT) Driver: Hive JDBC (version 3.1.2) Transaction isolation: TRANSACTION_REPEATABLE_READ Beeline version 3.1.2 by Apache Hive 0: jdbc:hive2://localhost:10000/default> create table t1(id int) using parquet; Unexpected end of file when reading from HS2 server. The root cause might be too many concurrent connections. Please ask the administrator to check the number of active connections, and adjust hive.server2.thrift.max.worker.threads if applicable. Error: org.apache.thrift.transport.TTransportException (state=08S01,code=0) ``` ``` org.apache.thrift.protocol.TProtocolException: Missing version in readMessageBegin, old client? at org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin(TBinaryProtocol.java:234) at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:27) at org.apache.hive.service.auth.TSetIpAddressProcessor.process(TSetIpAddressProcessor.java:53) at org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:310) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1130) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:630) at java.base/java.lang.Thread.run(Thread.java:832) ``` This pr upgrade hive-service-rpc to 3.1.2 to fix this issue. ### Why are the changes needed? To support hive-jdbc 3.x. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Manual test: ``` [rootspark-3267648 apache-hive-3.1.2-bin]# bin/beeline -u jdbc:hive2://localhost:10000/default Connecting to jdbc:hive2://localhost:10000/default Connected to: Spark SQL (version 3.1.0-SNAPSHOT) Driver: Hive JDBC (version 3.1.2) Transaction isolation: TRANSACTION_REPEATABLE_READ Beeline version 3.1.2 by Apache Hive 0: jdbc:hive2://localhost:10000/default> create table t1(id int) using parquet; +---------+ | Result | +---------+ +---------+ No rows selected (1.051 seconds) 0: jdbc:hive2://localhost:10000/default> insert into t1 values(1); +---------+ | Result | +---------+ +---------+ No rows selected (2.08 seconds) 0: jdbc:hive2://localhost:10000/default> select * from t1; +-----+ | id | +-----+ | 1 | +-----+ 1 row selected (0.605 seconds) ``` Closes #30478 from wangyum/SPARK-33525. Authored-by: Yuming Wang <yumwang@ebay.com> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org> |
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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.