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Gabor Somogyi 0a4f985ca0 [SPARK-23098][SQL] Migrate Kafka Batch source to v2. 
## What changes were proposed in this pull request?

Kafka batch data source is using v1 at the moment. In the PR I've migrated to v2. Majority of the change is moving code.

What this PR contains:
* useV1Sources usage fixed in `DataFrameReader` and `DataFrameWriter`
* `KafkaBatch` added to handle DSv2 batch reading
* `KafkaBatchWrite` added to handle DSv2 batch writing
* `KafkaBatchPartitionReader` extracted to share between batch and microbatch
* `KafkaDataWriter` extracted to share between batch, microbatch and continuous
* Batch related source/sink tests are now executing on v1 and v2 connectors
* Couple of classes hidden now, functions moved + couple of minor fixes

## How was this patch tested?

Existing + added unit tests.

Closes #24738 from gaborgsomogyi/SPARK-23098.

Authored-by: Gabor Somogyi <gabor.g.somogyi@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-07-02 09:47:30 +08:00
..
catalyst [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow 2019-07-01 11:54:58 +08:00
core [SPARK-23098][SQL] Migrate Kafka Batch source to v2. 2019-07-02 09:47:30 +08:00
hive [SPARK-11412][SQL] Support merge schema for ORC 2019-06-29 17:08:31 -07:00
hive-thriftserver [SPARK-28184][SQL][TEST] Avoid creating new sessions in SparkMetadataOperationSuite 2019-06-29 18:29:37 -07:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 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.