2a270a731a
### What changes were proposed in this pull request? This PR fixes `DataFrameReader.csv(dataset: Dataset[String])` API to take a `Dataset[String]` originated from a column name different from `value`. This is a long-standing bug started from the very first place. `CSVUtils.filterCommentAndEmpty` assumed the `Dataset[String]` to be originated with `value` column. This PR changes to use the first column name in the schema. ### Why are the changes needed? For `DataFrameReader.csv(dataset: Dataset[String])` to support any `Dataset[String]` as the signature indicates. ### Does this PR introduce any user-facing change? Yes, ```scala val ds = spark.range(2).selectExpr("concat('a,b,', id) AS text").as[String] spark.read.option("header", true).option("inferSchema", true).csv(ds).show() ``` Before: ``` org.apache.spark.sql.AnalysisException: cannot resolve '`value`' given input columns: [text];; 'Filter (length(trim('value, None)) > 0) +- Project [concat(a,b,, cast(id#0L as string)) AS text#2] +- Range (0, 2, step=1, splits=Some(2)) ``` After: ``` +---+---+---+ | a| b| 0| +---+---+---+ | a| b| 1| +---+---+---+ ``` ### How was this patch tested? Unittest was added. Closes #27561 from HyukjinKwon/SPARK-30810. Authored-by: HyukjinKwon <gurwls223@apache.org> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
||
---|---|---|
.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-api-docs.py | ||
gen-sql-config-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.