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LantaoJin 182566bf57 [SPARK-32237][SQL] Resolve hint in CTE 
### What changes were proposed in this pull request?
This PR is to move `Substitution` rule before `Hints` rule in `Analyzer` to avoid hint in CTE not working.

### Why are the changes needed?
Below SQL in Spark3.0 will throw AnalysisException, but it works in Spark2.x
```sql
WITH cte AS (SELECT /*+ REPARTITION(3) */ T.id, T.data FROM $t1 T)
SELECT cte.id, cte.data FROM cte
```
```
Failed to analyze query: org.apache.spark.sql.AnalysisException: cannot resolve '`cte.id`' given input columns: [cte.data, cte.id]; line 3 pos 7;
'Project ['cte.id, 'cte.data]
+- SubqueryAlias cte
   +- Project [id#21L, data#22]
      +- SubqueryAlias T
         +- SubqueryAlias testcat.ns1.ns2.tbl
            +- RelationV2[id#21L, data#22] testcat.ns1.ns2.tbl

'Project ['cte.id, 'cte.data]
+- SubqueryAlias cte
   +- Project [id#21L, data#22]
      +- SubqueryAlias T
         +- SubqueryAlias testcat.ns1.ns2.tbl
            +- RelationV2[id#21L, data#22] testcat.ns1.ns2.tbl
```

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

### How was this patch tested?
Add a unit test

Closes #29062 from LantaoJin/SPARK-32237.

Authored-by: LantaoJin <jinlantao@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-07-23 03:10:45 +00:00
..
catalyst [SPARK-32237][SQL] Resolve hint in CTE 2020-07-23 03:10:45 +00:00
core [SPARK-32237][SQL] Resolve hint in CTE 2020-07-23 03:10:45 +00:00
hive [SPARK-32302][SQL] Partially push down disjunctive predicates through Join/Partitions 2020-07-20 14:17:31 +00:00
hive-thriftserver [SPARK-32392][SQL] Reduce duplicate error log for executing sql statement operation in thrift server 2020-07-23 10:12:13 +09:00
create-docs.sh [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +09:00
gen-sql-config-docs.py [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
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.