6c6291b3f6
### What changes were proposed in this pull request?
`sha2(input, bit_length)` returns incorrect results when `bit_length == 224` for all inputs.
This error can be reproduced by running `spark.sql("SELECT sha2('abc', 224)").show()`, for instance, in spark-shell.
Spark currently returns
```
#\t}"4�"�B�w��U�*��你���l��
```
while the expected result is
```
23097d223405d8228642a477bda255b32aadbce4bda0b3f7e36c9da7
```
This appears to happen because the `MessageDigest.digest()` function appears to return bytes intended to be interpreted as a `BigInt` rather than a string. Thus, the output of `MessageDigest.digest()` must first be interpreted as a `BigInt` and then transformed into a hex string rather than directly being interpreted as a hex string.
### Why are the changes needed?
`sha2(input, bit_length)` with a `bit_length` input of `224` would previously return the incorrect result.
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
Added new test to `HashExpressionsSuite.scala` which previously failed and now pass
Closes #34086 from richardc-db/sha224.
Authored-by: Richard Chen <r.chen@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@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.