THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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Normal user-defined functions, such as concat(), take in a single input row and output a single output row. In contrast, table-generating functions transform a single input row to multiple output rows.
Return Type (row-set) | Name(Signature) | Description | |||||
|---|---|---|---|---|---|---|---|
N rowsT | explode(ARRAYa ARRAY<T>) | Explode an array to multiple rows. Returns a row-set with a single column (col), one row for each element from the array. | |||||
| int,T | posexplode(a ARRAY<T>) | Explode an array to multiple rows with additional positional column of int type (position of items in the original array, starting with 0). Returns a row-set with two columns (pos,val), one row for each element from the array. | |||||
Tk,Tv | explode(m MAP<Tk,Tv>) | Explode a map to multiple rows. Returns a row-set with a two columns (key,value) , | N rows | explode(MAP) | Returns one row for each key-value pair from the input map with two columns in each row: one for the key and another for the value. (As of Hive 0.8.0.) 0.8.0.). | ||
T1,T2,...,Tn | inline(a ARRAY<STRUCT<f1:T1,f2:T2,...,fn:Tn>>) | Explode an array of structs to multiple rows. Returns a row-set with N columns (N = number of top level elements in the struct), one row per struct from the array |
| inline(ARRAY<STRUCT[,STRUCT]>) | Explodes an array of structs into a table. (As of Hive 0.10.) | Array Type | explode(array<TYPE> a)For each element in a, generates a row containing that element. |
tuple | json_tuple(jsonStr, k1, k2, ...) | Takes a set of names (keys) and a JSON string, and returns a tuple of values. This is a more efficient version of the | |||||
tuple | parse_url_tuple(url, p1, p2, ...) | This is similar to the | N rows | posexplode(ARRAY) | Behaves like | ||
N rows | stack(INT n, v_1, v_2, ..., v_k) | Breaks up v_1, ..., v_k into n rows. Each row will have k/n columns. n must be constant. |
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