bfc8c79c8d
## What changes were proposed in this pull request? This PR aims to add a missing `appendFloats` API for array into **ColumnVector** class. For double type, there is `appendDoubles` for array [here](https://github.com/apache/spark/blob/master/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVector.java#L818-L824). ## How was this patch tested? Pass the Jenkins with a newly added test case. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #17836 from dongjoon-hyun/SPARK-20566. |
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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 an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows 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.