e75d9afb2f
### What changes were proposed in this pull request? This PR applies the current namespace for the single-part table name if the current catalog is a non-session catalog. Note that the reason the current namespace is not applied for the session catalog is that the single-part name could be referencing a temp view which doesn't belong to any namespaces. The empty namespace for a table inside the session catalog is resolved by the session catalog implementation. ### Why are the changes needed? It's fixing the following bug where the current namespace is not respected: ``` sql("CREATE TABLE testcat.ns.t USING foo AS SELECT 1 AS id") sql("USE testcat.ns") sql("SHOW CURRENT NAMESPACE").show +-------+---------+ |catalog|namespace| +-------+---------+ |testcat| ns| +-------+---------+ // `t` is not resolved since the current namespace `ns` is not used. sql("DESCRIBE t").show Failed to analyze query: org.apache.spark.sql.AnalysisException: Table not found: t;; ``` ### Does this PR introduce any user-facing change? Yes, the above `DESCRIBE` command will succeed. ### How was this patch tested? Added tests. Closes #26894 from imback82/current_namespace. Authored-by: Terry Kim <yuminkim@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
||
---|---|---|
.. | ||
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
.