79eaaaf6da
### What changes were proposed in this pull request? This PR aims to upgrade Apache ORC to 1.5.10. ### Why are the changes needed? Apache ORC 1.5.10 is a maintenance release with the following patches. - [ORC-621](https://issues.apache.org/jira/browse/ORC-621) Need reader fix for ORC-569 - [ORC-616](https://issues.apache.org/jira/browse/ORC-616) In Patched Base encoding, the value of headerThirdByte goes beyond the range of byte - [ORC-613](https://issues.apache.org/jira/browse/ORC-613) OrcMapredRecordReader mis-reuse struct object when actual children schema differs - [ORC-610](https://issues.apache.org/jira/browse/ORC-610) Updated Copyright year in the NOTICE file The following is release note. - https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12318320&version=12346912 ### Does this PR introduce any user-facing change? No. ### How was this patch tested? Pass the Jenkins with the existing ORC tests and a newly added test case. - The first commit is already tested in `hive-2.3` profile with both native ORC implementation and Hive 2.3 ORC implementation. (https://github.com/apache/spark/pull/28373#issuecomment-620265114) - The latest run is about to make the test case disable in `hive-1.2` profile which doesn't use Apache ORC. - `hive-1.2`: https://github.com/apache/spark/pull/28373#issuecomment-620325906 Closes #28373 from dongjoon-hyun/SPARK-ORC-1.5.10. Authored-by: Dongjoon Hyun <dongjoon@apache.org> 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.