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Max Gekk 85949588b7 [SPARK-33650][SQL] Fix the error from ALTER TABLE .. ADD/DROP PARTITION for non-supported partition management table 
### What changes were proposed in this pull request?
In the PR, I propose to change the order of post-analysis checks for the `ALTER TABLE .. ADD/DROP PARTITION` command, and perform the general check (does the table support partition management at all) before specific checks.

### Why are the changes needed?
The error message for the table which doesn't support partition management can mislead users:
```java
PartitionSpecs are not resolved;;
'AlterTableAddPartition [UnresolvedPartitionSpec(Map(id -> 1),None)], false
+- ResolvedTable org.apache.spark.sql.connector.InMemoryTableCatalog2fd64b11, ns1.ns2.tbl, org.apache.spark.sql.connector.InMemoryTable5d3ff859
```
because it says nothing about the root cause of the issue.

### Does this PR introduce _any_ user-facing change?
Yes. After the change, the error message will be:
```
Table ns1.ns2.tbl can not alter partitions
```

### How was this patch tested?
By running the affected test suite `AlterTablePartitionV2SQLSuite`.

Closes #30594 from MaxGekk/check-order-AlterTablePartition.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2020-12-03 16:43:15 -08:00
..
catalyst [SPARK-33650][SQL] Fix the error from ALTER TABLE .. ADD/DROP PARTITION for non-supported partition management table 2020-12-03 16:43:15 -08:00
core [SPARK-33650][SQL] Fix the error from ALTER TABLE .. ADD/DROP PARTITION for non-supported partition management table 2020-12-03 16:43:15 -08:00
hive [SPARK-30098][SQL] Add a configuration to use default datasource as provider for CREATE TABLE command 2020-12-03 15:24:44 +00:00
hive-thriftserver [SPARK-33448][SQL] Support CACHE/UNCACHE TABLE commands for v2 tables 2020-11-30 05:37:10 +00:00
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.