b52fbeee2d
### What changes were proposed in this pull request?
This patch proposes to add a few LZ4 wrapper classes for Parquet Lz4 compression output that uses Hadoop Lz4 codec.
### Why are the changes needed?
Currently we use Hadop 3.3.1's shaded client libraries. Lz4 is a provided dependency in Hadoop Common 3.3.1 for Lz4Codec. But it isn't excluded from relocation in these libraries. So to use lz4 as Parquet codec, we will hit the exception even we include lz4 as dependency.
```
[info] Cause: java.lang.NoClassDefFoundError: org/apache/hadoop/shaded/net/jpountz/lz4/LZ4Factory
[info] at org.apache.hadoop.io.compress.lz4.Lz4Compressor.<init>(Lz4Compressor.java:66)
[info] at org.apache.hadoop.io.compress.Lz4Codec.createCompressor(Lz4Codec.java:119)
[info] at org.apache.hadoop.io.compress.CodecPool.getCompressor(CodecPool.java:152)
[info] at org.apache.hadoop.io.compress.CodecPool.getCompressor(CodecPool.java:168)
```
Before the issue is fixed at Hadoop new release, we can add a few wrapper classes for Lz4 codec.
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
Modified test.
Closes #33940 from viirya/lz4-wrappers.
Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Liang-Chi Hsieh <viirya@gmail.com>
(cherry picked from commit
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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.