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Wenchen Fan 8a7db8a608 [SPARK-18980][SQL] implement Aggregator with TypedImperativeAggregate 
## What changes were proposed in this pull request?

Currently we implement `Aggregator` with `DeclarativeAggregate`, which will serialize/deserialize the buffer object every time we process an input.

This PR implements `Aggregator` with `TypedImperativeAggregate` and avoids to serialize/deserialize buffer object many times. The benchmark shows we get about 2 times speed up.

For simple buffer object that doesn't need serialization, we still go with `DeclarativeAggregate`, to avoid performance regression.

## How was this patch tested?

N/A

Author: Wenchen Fan <wenchen@databricks.com>

Closes #16383 from cloud-fan/aggregator.
2016-12-26 22:10:20 +08:00
..
catalyst [SPARK-18980][SQL] implement Aggregator with TypedImperativeAggregate 2016-12-26 22:10:20 +08:00
core [SPARK-18980][SQL] implement Aggregator with TypedImperativeAggregate 2016-12-26 22:10:20 +08:00
hive [SPARK-18980][SQL] implement Aggregator with TypedImperativeAggregate 2016-12-26 22:10:20 +08:00
hive-thriftserver [SPARK-17807][CORE] split test-tags into test-JAR 2016-12-21 16:37:20 -08:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

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.