506ef9aad7
### What changes were proposed in this pull request? This upgrade default Hadoop version from 3.2.1 to 3.3.1. The changes here are simply update the version number and dependency file. ### Why are the changes needed? Hadoop 3.3.1 just came out, which comes with many client-side improvements such as for S3A/ABFS (20% faster when accessing S3). These are important for users who want to use Spark in a cloud environment. ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? - Existing unit tests in Spark - Manually tested using my S3 bucket for event log dir: ``` bin/spark-shell \ -c spark.hadoop.fs.s3a.access.key=$AWS_ACCESS_KEY_ID \ -c spark.hadoop.fs.s3a.secret.key=$AWS_SECRET_ACCESS_KEY \ -c spark.eventLog.enabled=true -c spark.eventLog.dir=s3a://<my-bucket> ``` - Manually tested against docker-based YARN dev cluster, by running `SparkPi`. Closes #30135 from sunchao/SPARK-29250. Authored-by: Chao Sun <sunchao@apple.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.