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jinxing ba8912e5f3
[SPARK-19450] Replace askWithRetry with askSync. 
## What changes were proposed in this pull request?

`askSync` is already added in `RpcEndpointRef` (see SPARK-19347 and https://github.com/apache/spark/pull/16690#issuecomment-276850068) and `askWithRetry` is marked as deprecated.
As mentioned SPARK-18113(https://github.com/apache/spark/pull/16503#event-927953218):

>askWithRetry is basically an unneeded API, and a leftover from the akka days that doesn't make sense anymore. It's prone to cause deadlocks (exactly because it's blocking), it imposes restrictions on the caller (e.g. idempotency) and other things that people generally don't pay that much attention to when using it.

Since `askWithRetry` is just used inside spark and not in user logic. It might make sense to replace all of them with `askSync`.

## How was this patch tested?
This PR doesn't change code logic, existing unit test can cover.

Author: jinxing <jinxing@meituan.com>

Closes #16790 from jinxing64/SPARK-19450.
2017-02-19 04:34:07 -08:00
..
catalyst [SPARK-19447] Make Range operator generate "recordsRead" metric 2017-02-18 07:51:41 -08:00
core [SPARK-19450] Replace askWithRetry with askSync. 2017-02-19 04:34:07 -08:00
hive [SPARK-19447] Make Range operator generate "recordsRead" metric 2017-02-18 07:51:41 -08:00
hive-thriftserver [SPARK-18857][SQL] Don't use Iterator.duplicate for incrementalCollect in Thrift Server 2017-01-10 13:27:55 +00:00
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.