09d039da56
### What changes were proposed in this pull request? After SPARK-29291 and SPARK-33352, there are still some compilation warnings about `procedure syntax is deprecated` as follows: ``` [WARNING] [Warn] /spark/core/src/main/scala/org/apache/spark/MapOutputTracker.scala:723: [deprecation | origin= | version=2.13.0] procedure syntax is deprecated: instead, add `: Unit =` to explicitly declare `registerMergeResult`'s return type [WARNING] [Warn] /spark/core/src/main/scala/org/apache/spark/MapOutputTracker.scala:748: [deprecation | origin= | version=2.13.0] procedure syntax is deprecated: instead, add `: Unit =` to explicitly declare `unregisterMergeResult`'s return type [WARNING] [Warn] /spark/core/src/test/scala/org/apache/spark/util/collection/ExternalAppendOnlyMapSuite.scala:223: [deprecation | origin= | version=2.13.0] procedure syntax is deprecated: instead, add `: Unit =` to explicitly declare `testSimpleSpillingForAllCodecs`'s return type [WARNING] [Warn] /spark/mllib-local/src/test/scala/org/apache/spark/ml/linalg/BLASBenchmark.scala:53: [deprecation | origin= | version=2.13.0] procedure syntax is deprecated: instead, add `: Unit =` to explicitly declare `runBLASBenchmark`'s return type [WARNING] [Warn] /spark/sql/core/src/main/scala/org/apache/spark/sql/execution/command/DataWritingCommand.scala:110: [deprecation | origin= | version=2.13.0] procedure syntax is deprecated: instead, add `: Unit =` to explicitly declare `assertEmptyRootPath`'s return type [WARNING] [Warn] /spark/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala:602: [deprecation | origin= | version=2.13.0] procedure syntax is deprecated: instead, add `: Unit =` to explicitly declare `executeCTASWithNonEmptyLocation`'s return type ``` So the main change of this pr is cleanup these compilation warnings. ### Why are the changes needed? Eliminate compilation warnings in Scala 2.13 and this change should be compatible with Scala 2.12 ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? Pass the Jenkins or GitHub Action Closes #32669 from LuciferYang/re-clean-procedure-syntax. Authored-by: yangjie01 <yangjie01@baidu.com> 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.