Add some UDFs which help to migrate Oracle to Hive ---------------------------------------------------
Key: HIVE-2361 URL: https://issues.apache.org/jira/browse/HIVE-2361 Project: Hive Issue Type: New Feature Components: UDF Affects Versions: 0.8.0 Reporter: JunHo Cho Priority: Minor Attachments: nexr-udf.tar Here some UDFs which can be matched to oracle functions: There are two kinds of oracle functions. one is scalar function and another is analytic function. Most scalar functions in Oracle can be converted to hive's udf directly. Oracle Scalar Function GenericUDFDecode : Compares first argument to each other value one by one. e.g., DECODE(x,0,'zero',1,'one') will return 'zero' if x is 0 GenericUDFGreatest : Return the greatest of the list of one or more expressions. e.g., GREATEST(2,5,12,3) will return 12 GenericUDFInstr : Return the location of a substring in a string. e.g., INSTR('next', 'e') will return 2 GenericUDFLnnvl : Evaluate a condition when one or both operands of the condition may be null. e.g., LNNVL(2 > 4) will return true GenericUDFNVL : Replace null with a string in the results of a query. e.g., NVL(null,'hive') will return hive GenericUDFNVL2 : Determine the value returned by a query based on whether a specified expression is null or not null. e.g., NVL2(null,'not null','null value') will return 'null value' GenericUDFToNumber : Convert a string to a number. e.g., TO_NUMBER('112','999') will return 112 GenericUDFTrunc : Returns a date truncated to a specific unit of measure. e.g., TRUNC('2002-11-02 01:01:01','YYYY') will return '2002-01-01 00:00:00' Oracle Analytic Function Most analytic functions in Oracle can't be converted to hive's query and udf directly. Following udfs should be used with DISTRIBUTED, SORT BY and HASH of hive to support analytic functions e.q., SELECT _FUNC_(hash(col1), col2, ...) FROM SELECT ~ FROM table DISTRIBUTED BY hash(col1) SORT BY col1, col2 ... GenericUDFSum : Calculate a cumulative sum. GenericUDFRank : Assign a sequential order, or rank within some group based on key. GenericUDFDenseRank : Act like RANK function except that it assigns consecutive ranks. GenericUDFRowNumber : Return sequence integer value within some group based on key. GenericUDFMax : Determine the highest value within some group based on key. GenericUDFMin : Determine the lowest value within some group based on key. GenericUDFLag : Access data from a previous row. This udfs was developed with hive-pdk -- This message is automatically generated by JIRA. For more information on JIRA, see: http://www.atlassian.com/software/jira