5f3ec6250f
### What changes were proposed in this pull request? Incase of DS v2 InputMetrics are not updated **Before Fix** ![inputMetrics](https://user-images.githubusercontent.com/35216143/71501010-c216df00-288d-11ea-8522-fdd50b13eae1.png) **After Fix** we can see that `Input Size / Records` is updated in the UI ![image](https://user-images.githubusercontent.com/35216143/71501000-b88d7700-288d-11ea-92fe-a727b2b79908.png) ### Why are the changes needed? InputMetrics like bytesread and recordread should be updated ### Does this PR introduce any user-facing change? No ### How was this patch tested? Added UT and also verified manually Closes #27021 from sandeep-katta/dsv2inputmetrics. Authored-by: sandeep katta <sandeep.katta2007@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.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
.