0477d23467
### What changes were proposed in this pull request? Fix `DaysWritable` by overriding parent's method `def get(doesTimeMatter: Boolean): Date` from `DateWritable` instead of `Date get()` because the former one uses the first one. The bug occurs because `HiveOutputWriter.write()` call `def get(doesTimeMatter: Boolean): Date` transitively with default implementation from the parent class `DateWritable` which doesn't respect date rebases and uses not initialized `daysSinceEpoch` (0 which `1970-01-01`). ### Why are the changes needed? The changes fix the bug: ```sql spark-sql> CREATE TABLE table1 (d date); spark-sql> INSERT INTO table1 VALUES (date '2020-08-11'); spark-sql> SELECT * FROM table1; 1970-01-01 ``` The expected result of the last SQL statement must be **2020-08-11** but got **1970-01-01**. ### Does this PR introduce _any_ user-facing change? Yes. After the fix, `INSERT` work correctly: ```sql spark-sql> SELECT * FROM table1; 2020-08-11 ``` ### How was this patch tested? Add new test to `HiveSerDeReadWriteSuite` Closes #29409 from MaxGekk/insert-date-into-hive-table. Authored-by: Max Gekk <max.gekk@gmail.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org> |
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.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-api-docs.py | ||
gen-sql-config-docs.py | ||
gen-sql-functions-docs.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
, and SQL configuration documentation that gets included as part of configuration.md
in the main docs
directory.