[jira] [Created] (SPARK-16275) Implement all the Hive fallback functions

["Reynold Xin (JIRA)" <ji...@apache.org>]

Reynold Xin created SPARK-16275:
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             Summary: Implement all the Hive fallback functions
                 Key: SPARK-16275
                 URL: https://issues.apache.org/jira/browse/SPARK-16275
             Project: Spark
          Issue Type: New Feature
          Components: SQL
            Reporter: Reynold Xin


As of Spark 2.0, Spark falls back to Hive for only the following built-in functions:

{code}
    "elt", "hash", "java_method", "histogram_numeric",
    "map_keys", "map_values",
    "parse_url", "percentile", "percentile_approx", "reflect", "sentences", "stack", "str_to_map",
    "xpath", "xpath_boolean", "xpath_double", "xpath_float", "xpath_int", "xpath_long",
    "xpath_number", "xpath_short", "xpath_string",

    // table generating function
    "inline", "posexplode"
{code}

The goal of the ticket is to implement all of these in Spark so we don't need to fall back into Hive's UDFs.




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