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## Quantiles/DoublesSketch Pig UDFs

### Instructions

* get jars from maven.org (search for datasketches)
* save the following script as quantiles.pig
* adjust jar versions and paths if necessary
* save the below data into a file called "data.txt"
* copy data to hdfs: "hdfs dfs -copyFromLocal data.txt"
* run pig script: "pig quantiles.pig"

### quantiles.pig script

    register datasketches-memory-2.0.0.jar;
    register datasketches-java-3.1.0.jar;
    register datasketches-pig-1.1.0.jar;

    define dataToSketch org.apache.datasketches.pig.quantiles.DataToDoublesSketch();
    define unionSketch org.apache.datasketches.pig.quantiles.UnionDoublesSketch();
    define getQuantile org.apache.datasketches.pig.quantiles.GetQuantileFromDoublesSketch();

    a = load 'data.txt' as (value:double, category);
    b = group a by category;
    c = foreach b generate flatten(group) as (category), flatten(dataToSketch(a.value)) as sketch;
    -- Sketches can be stored at this point in binary format to be used later:
    -- store c into 'intermediate/$date' using BinStorage();
    -- The next two lines print the results in human readable form for the purpose of this example
    d = foreach c generate category, getQuantile(sketch, 0.5); -- median value from the sketch
    dump d;

    -- This can be a separate query
    -- For example, the first part can produce a daily intermediate feed and store it,
    -- and this part can load several instances of this daily intermediate feed and union them
    -- c = load 'intermediate/$date1,intermediate/$date2' using BinStorage() as (category, sketch);
    e = group c all;
    f = foreach e generate flatten(unionSketch(c.sketch)) as (sketch);
    g = foreach f generate getQuantile(sketch, 0.5); -- median value from the sketch
    dump g;

The example input data has 2 fields: value and category. The first part of the query produces a QuantilesSketch per category, and the second part merges sketches across categories.

From 'dump d':

    (a,6.0)
    (b,16.0)

From 'dump g' (merged across categories):

    (11.0)

### [data.txt]({{site.docs_dir}}/Quantiles/data.txt) (tab separated)
    1	a
    2	a
    3	a
    4	a
    5	a
    6	a
    7	a
    8	a
    9	a
    10	a
    11	b
    12	b
    13	b
    14	b
    15	b
    16	b
    17	b
    18	b
    19	b
    20	b