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### What changes were proposed in this pull request? The `assertEquals` method of JUnit Assert requires the first parameter to be the expected value. In this PR, I propose to change the order of parameters when the expected value is passed as the second parameter. ### Why are the changes needed? Wrong order of assert parameters confuses when the assert fails and the parameters have special string representation. For example: ```java assertEquals(input1.add(input2), new CalendarInterval(5, 5, 367200000000L)); ``` ``` java.lang.AssertionError: Expected :interval 5 months 5 days 101 hours Actual :interval 5 months 5 days 102 hours ``` ### Does this PR introduce any user-facing change? No ### How was this patch tested? By existing tests. Closes #26377 from MaxGekk/fix-order-in-assert-equals. Authored-by: Maxim Gekk <max.gekk@gmail.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> |
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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.