Add a bunch of UDFs and UDAFs
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Key: HIVE-1545
URL: https://issues.apache.org/jira/browse/HIVE-1545
Project: Hadoop Hive
Issue Type: New Feature
Reporter: Jonathan Chang
Assignee: Jonathan Chang
Priority: Minor
Here some UD(A)Fs which can be incorporated into the Hive distribution:
UDFArgMax - Find the 0-indexed index of the largest argument. e.g., ARGMAX(4,
5, 3) returns 1.
UDFBucket - Find the bucket in which the first argument belongs. e.g.,
BUCKET(x, b_1, b_2, b_3, ...), will return the smallest i such that x > b_{i}
but <= b_{i+1}. Returns 0 if x is smaller than all the buckets.
UDFFindInArray - Finds the 1-index of the first element in the array given as
the second argument. Returns 0 if not found. Returns NULL if either argument is
NULL. E.g., FIND_IN_ARRAY(5, array(1,2,5)) will return 3. FIND_IN_ARRAY(5,
array(1,2,3)) will return 0.
UDFGreatCircleDist - Finds the great circle distance (in km) between two
lat/long coordinates (in degrees).
UDFLDA - Performs LDA inference on a vector given fixed topics.
UDFNumberRows - Number successive rows starting from 1. Counter resets to 1
whenever any of its parameters changes.
UDFPmax - Finds the maximum of a set of columns. e.g., PMAX(4, 5, 3) returns 5.
UDFRegexpExtractAll - Like REGEXP_EXTRACT except that it returns all matches in
an array.
UDFUnescape - Returns the string unescaped (using C/Java style unescaping).
UDFWhich - Given a boolean array, return the indices which are TRUE.
UDFJaccard
UDAFCollect - Takes all the values associated with a row and converts it into a
list. Make sure to have: set hive.map.aggr = false;
UDAFCollectMap - Like collect except that it takes tuples and generates a map.
UDAFEntropy - Compute the entropy of a column.
UDAFPearson (BROKEN!!!) - Computes the pearson correlation between two columns.
UDAFTop - TOP(KEY, VAL) - returns the KEY associated with the largest value of
VAL.
UDAFTopN (BROKEN!!!) - Like TOP except returns a list of the keys associated
with the N (passed as the third parameter) largest values of VAL.
UDAFHistogram
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