c619990c1d
### What changes were proposed in this pull request? When loading DataFrames from JDBC datasource with Kerberos authentication, remote executors (yarn-client/cluster etc. modes) fail to establish a connection due to lack of Kerberos ticket or ability to generate it. This is a real issue when trying to ingest data from kerberized data sources (SQL Server, Oracle) in enterprise environment where exposing simple authentication access is not an option due to IT policy issues. In this PR I've added DB2 support (other supported databases will come in later PRs). What this PR contains: * Added `DB2ConnectionProvider` * Added `DB2ConnectionProviderSuite` * Added `DB2KrbIntegrationSuite` docker integration test * Changed DB2 JDBC driver to use the latest (test scope only) * Changed test table data type to a type which is supported by all the databases * Removed double connection creation on test side * Increased connection timeout in docker tests because DB2 docker takes quite a time to start ### Why are the changes needed? Missing JDBC kerberos support. ### Does this PR introduce any user-facing change? Yes, now user is able to connect to DB2 using kerberos. ### How was this patch tested? * Additional + existing unit tests * Additional + existing integration tests * Test on cluster manually Closes #28215 from gaborgsomogyi/SPARK-31272. Authored-by: Gabor Somogyi <gabor.g.somogyi@gmail.com> Signed-off-by: Marcelo Vanzin <vanzin@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.