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Eric Wu b2011a295b [SPARK-30326][SQL] Raise exception if analyzer exceed max iterations 
### What changes were proposed in this pull request?
Enhance RuleExecutor strategy to take different actions when exceeding max iterations. And raise exception if analyzer exceed max iterations.

### Why are the changes needed?
Currently, both analyzer and optimizer just log warning message if rule execution exceed max iterations. They should have different behavior. Analyzer should raise exception to indicates the plan is not fixed after max iterations, while optimizer just log warning to keep the current plan. This is more feasible after SPARK-30138 was introduced.

### Does this PR introduce any user-facing change?
No

### How was this patch tested?
Add test in AnalysisSuite

Closes #26977 from Eric5553/EnhanceMaxIterations.

Authored-by: Eric Wu <492960551@qq.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-02-10 23:41:39 +08:00
..
catalyst [SPARK-30326][SQL] Raise exception if analyzer exceed max iterations 2020-02-10 23:41:39 +08:00
core [SPARK-30719][SQL] Add unit test to verify the log warning print when intentionally skip AQE 2020-02-10 21:48:00 +08:00
hive [SPARK-30612][SQL] Resolve qualified column name with v2 tables 2020-02-06 13:54:17 +08:00
hive-thriftserver [SPARK-29543][SS][UI] Structured Streaming Web UI 2020-01-29 13:43:51 -08:00
create-docs.sh [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-api-docs.py [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-config-docs.py [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
mkdocs.yml
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

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 extensions that allow 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, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.