332e593093
### What changes were proposed in this pull request?
Improve error messages for unsupported data type.
### Why are the changes needed?
When the spark reads the hive table and encounters an unsupported field type, the exception message has only one unsupported type, and the user cannot know which field of which table.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
```create view t AS SELECT STRUCT('a' AS `$a`, 1 AS b) as q;```
current:
org.apache.spark.SparkException: Cannot recognize hive type string: struct<$a:string,b:int>
change:
org.apache.spark.SparkException: Cannot recognize hive type string: struct<$a:string,b:int>, column: q
```select * from t,t_normal_1,t_normal_2```
current:
org.apache.spark.SparkException: Cannot recognize hive type string: struct<$a:string,b:int>
change:
org.apache.spark.SparkException: Cannot recognize hive type string: struct<$a:string,b:int>, column: q, db: default, table: t
Closes #26577 from cxzl25/unsupport_data_type_msg.
Authored-by: sychen <sychen@ctrip.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
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| .. | ||
| catalyst | ||
| core | ||
| hive | ||
| hive-thriftserver | ||
| create-docs.sh | ||
| gen-sql-markdown.py | ||
| mkdocs.yml | ||
| 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.