yaooqinn opened a new pull request, #46133:
URL: https://github.com/apache/spark/pull/46133

   
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   ### What changes were proposed in this pull request?
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   This PR introduces a universal BinaryFormatter to make binary output 
consistent
   across all clients, such as `beeline`, `spark-sql`, and `spark-shell`, for 
both primitive and nested binaries. 
   
   Considering we already have different styles and compatibility with Apache 
Hive through the 
   beeline or Hive JDBC driver, we need a configuration to control the binary 
output format.
   
   #### Problem statement
   
   Currently, the binary output format is inconsistent across different 
clients. For example,
   
   - Hive beeline(spark thriftserver)
     - For primitive binaries, we pass the binary directly to the clients, and 
then the clients will convert the binary based on the 
option`convertBinaryArrayToString`
       - when convertBinaryArrayToString is true, results in UTF8 encoded 
strings, `[83, 112, 97, 114, 107] -> "Spark"`
       - when convertBinaryArrayToString is false, Hive3-beeline results in 
comma-separated byte strings, `[83, 112, 97, 114, 107] -> [83, 112, 97, 114, 
107]` Hive4-beeline, a base64 encoded string, `[83, 112, 97, 114, 107] -> 
U3Bhcmsg`
     - For nested binaries, we pass the binary as UTF8 encoded strings
   - Spark SQL CLI
     - For both primitive and nested binaries, we print UTF8-encoded strings
   
   - Spark Shell
     - We do a special `cast` to convert the binary to a string in 
space-separated hexadecimal format, `[83, 112, 97, 114, 107] -> "[53 70 61 72 
6b]"`
   
   **Given that no two behaviors are compatible or consistent, this could take 
you a lot of time to digest.**
   
   Besides Apache Hive, other modern databases like Postgres, and MySQL, also 
support different binary output formats. The hexadecimal format is the most 
recommended format for binary output. `[83, 112, 97, 114, 107] -> 
"(0x)537061726b"`
   
   
   ### Why are the changes needed?
   
   - A universal BinaryFormatter for consistensy
   - A configuration for flexibility to align with Hive or other systems.
   
   ### Does this PR introduce _any_ user-facing change?
   
   Yes, executing 'spark.sql("select cast('Spark' as bianry)").show' in Spark 
shell displays `"Spark"` instead of `"[53 70 61 72 6b]"``
   
   ### How was this patch tested?
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   new tests
   
   
   ### Was this patch authored or co-authored using generative AI tooling?
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