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Wenchen Fan 70221903f5 [SPARK-22596][SQL] set ctx.currentVars in CodegenSupport.consume 
## What changes were proposed in this pull request?

`ctx.currentVars` means the input variables for the current operator, which is already decided in `CodegenSupport`, we can set it there instead of `doConsume`.

also add more comments to help people understand the codegen framework.

After this PR, we now have a principle about setting `ctx.currentVars` and `ctx.INPUT_ROW`:
1. for non-whole-stage-codegen path, never set them. (permit some special cases like generating ordering)
2. for whole-stage-codegen `produce` path, mostly we don't need to set them, but blocking operators may need to set them for expressions that produce data from data source, sort buffer, aggregate buffer, etc.
3. for whole-stage-codegen `consume` path, mostly we don't need to set them because `currentVars` is automatically set to child input variables and `INPUT_ROW` is mostly not used. A few plans need to tweak them as they may have different inputs, or they use the input row.

## How was this patch tested?

existing tests.

Author: Wenchen Fan <wenchen@databricks.com>

Closes #19803 from cloud-fan/codegen.
2017-11-24 21:50:30 -08:00
..
catalyst [SPARK-22596][SQL] set ctx.currentVars in CodegenSupport.consume 2017-11-24 21:50:30 -08:00
core [SPARK-22596][SQL] set ctx.currentVars in CodegenSupport.consume 2017-11-24 21:50:30 -08:00
hive [SPARK-22592][SQL] cleanup filter converting for hive 2017-11-23 15:33:26 -08:00
hive-thriftserver [SPARK-22487][SQL][FOLLOWUP] still keep spark.sql.hive.version 2017-11-13 13:10:13 -08:00
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-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -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.

Running sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.