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I have the following sample data and I am trying to explode it in hive.. I used split but I know I am missing something..
["[[-80.742426,35.23248],[-80.740424,35.23184],[-80.739583,35.231562],[-80.735935,35.23041],[-80.728624,35.228069],[-80.727753,35.227836],[-80.727294,35.227741],[-80.726762,35.227647],[-80.726321,35.227594],[-80.725687,35.227544],[-80.725134,35.227535],[-80.721502,35.227615],[-80.691298,35.216202],[-80.688009,35.215396],[-80.686516,35.215016],[-80.598433,35.234307]]"]
I used the below query
select explode(split(col, ',')) from sample2;
and the result is this
["[[-80.742426
35.23248]
[-80.740424
35.23184]
[-80.739583
35.231562]
[-80.735935
35.23041]
[-80.728624
35.228069]
[-80.727753
35.227836]
[-80.71143
35.227831]
[-80.711007
35.227795]
[-80.710638
35.227741]
[-80.673884
35.21014]
[-80.672358
35.209481]
[-80.672036
35.209356]
[-80.671686
35.209234]
[-80.67124
35.209099]
[-80.670815
35.209006]
[-80.670267
35.208906]
[-80.669612
35.208833]
[-80.668924
35.208806]
[-80.598433
35.234307]]"]
I need it in below format
[-80.742426,35.23248]
[-80.740424,35.23184]
[-80.739583,35.231562]
[-80.735935,35.23041]
[-80.728624,35.228069]
[-80.727753,35.227836]
[-80.727294,35.227741]
[-80.726762,35.227647]
[-80.726321,35.227594]
[-80.725687,35.227544]
[-80.725134,35.227535]
[-80.721502,35.227615]
[-80.691298,35.216202]
[-80.688009,35.215396]
[-80.686516,35.215016]
[-80.684281,35.214466]
[-80.68396,35.214395]
[-80.683375,35.214231]
[-80.682908,35.214079]
[-80.682444,35.213905]
[-80.682045,35.213733]
[-80.68062,35.213112]
[-80.678078,35.211983]
[-80.676836,35.211447]
[-80.598433,35.234307]
Any help over here..?
759
Returns a new row for each element in the given array or map. Uses the default column name col for elements in the array and key and value for elements in the map unless specified otherwise.
In Hive, lateral view explode the array data into multiple rows. In other word, lateral view expands the array into rows. For example, consider below example. When you use later view along with explode function, you will get result something like below.
A lateral view first applies the UDTF to each row of base table and then joins resulting output rows to the input rows to form a virtual table having the supplied table alias. Version. Prior to Hive 0.6. 0, lateral view did not support the predicate push-down optimization. In Hive 0.5.
To flatten a nested array's elements into a single array of values, use the flatten function. This query returns a row for each element in the array.
You have your data set as arrays of array and you want to explode your data at first level only, so use LATERAL VIEW explode(colname) to explode at the first level.
Below is the SELECT query with explode():
SELECT col1 FROM sample2 LATERAL VIEW EXPLODE(col) explodeVal AS col1;
output generated from your input data set as below:
[-80.742426,35.23248]
[-80.740424,35.23184]
[-80.739583,35.231562]
[-80.735935,35.23041]
[-80.728624,35.228069]
[-80.727753,35.227836]
[-80.727294,35.227741]
[-80.726762,35.227647]
[-80.726321,35.227594]
[-80.725687,35.227544]
[-80.725134,35.227535]
[-80.721502,35.227615]
[-80.691298,35.216202]
[-80.688009,35.215396]
[-80.686516,35.215016]
[-80.684281,35.214466]
[-80.68396,35.214395]
[-80.683375,35.214231]
[-80.682908,35.214079]
[-80.682444,35.213905]
[-80.682045,35.213733]
[-80.68062,35.213112]
[-80.678078,35.211983]
[-80.676836,35.211447]
[-80.598433,35.234307]
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