How can I use DESCRIBE and DUMP inside nested FOREACH - hadoop

I'm new in Pig and I some times I need to access schema for relations inside nested FOREACH. For example:
A = LOAD 'data' AS (url:chararray,outlink:chararray);
DUMP A;
(www.ccc.com,www.hjk.com)
(www.ddd.com,www.xyz.org)
(www.aaa.com,www.cvn.org)
(www.www.com,www.kpt.net)
(www.www.com,www.xyz.org)
(www.ddd.com,www.xyz.org)
B = GROUP A BY url;
DUMP B;
(www.aaa.com,{(www.aaa.com,www.cvn.org)})
(www.ccc.com,{(www.ccc.com,www.hjk.com)})
(www.ddd.com,{(www.ddd.com,www.xyz.org),(www.ddd.com,www.xyz.org)})
(www.www.com,{(www.www.com,www.kpt.net),(www.www.com,www.xyz.org)})
X = FOREACH B {
FA = FILTER A BY outlink == 'www.xyz.org';
PA = FA.outlink;
DA = DISTINCT PA;
GENERATE group, COUNT(DA);
}
DUMP X;
(www.aaa.com,0)
(www.ccc.com,0)
(www.ddd.com,1)
(www.www.com,1)
I want to know what is the structure of FA, PA and DA. I have tried to use DESCRIBE inside FOREACH block but it gives error:
ERROR org.apache.pig.tools.grunt.Grunt - ERROR 1200: <line 13, column 13> Syntax error, unexpected symbol at or near 'FA'
Is there any way to get schema and structure of relations inside nested FOREACH just for learning purpose?

Have multiple runs and project FA/PA/DA in GENERATE statements. Sample code with projecting FA:
X = FOREACH B {
FA = FILTER A BY outlink == 'www.xyz.org';
--PA = FA.outlink;
--DA = DISTINCT PA;
GENERATE group, FA;
}
DUMP X;
DESCRIBE X;

Related

Invalid scalar projection in foreach

Hi I have a pig script like this. When doing foreach statement it throws invalid scalar projection error.Here is my code.
a = load 'file' using PigStorage(':');
b = group a by ($1, $7, $11);
c = foreach b generate flatten(group), COUNT(a) as (cnt: int);
d = filter c by cnt>1;
e = foreach d generate flatten(a) ;
The error is shown below
<line 6, column 31> Invalid scalar projection: a : A column needs to be projected from a relation for it to be used as a scalar
Any help will be appreciated.
The issue is because, 'a' doesn's exists in the 'd' relation schema.
describe the 'd' schema, you get:
d: {bytearray,bytearray,bytearray, cnt: int} in which 'a' doesn't exists.
In the script, C relation is formed, by Projection of flattening the group field and Number of elements of a, a is not included in the relation C.

Get value for unique record using Pig

Below is the input data set.
col1,col2,col3,col4,col5
key1,111,1,12/11/2016,10
key2,111,1,12/11/2016,10
key3,111,1,12/11/2016,10
key4,222,2,12/22/2016,10
key5,222,2,12/22/2016,10
key6,333,3,12/30/2016,10
key7,111,0,12/11/2016,10
Based on col2,col3,col4 will give unique record, I need to get any one value from col1 for the unique record, and populate as new field say col6. The expected output below
col1,col2,col3,col4,col5,col6
key1,111,1,12/11/2016,10,key3
key2,111,1,12/11/2016,10,key3
key3,111,1,12/11/2016,10,key3
key4,222,2,12/22/2016,10,key5
key5,222,2,12/22/2016,10,key5
key6,333,3,12/30/2016,10,key6
key7,111,0,12/11/2016,10,key7
Below is the script, I am getting error.
A = load 'test1.csv' using PigStorage(',');
B = GROUP A by ($1,$2,$3);
C = FOREACH B GENERATE FLATTEN(group), MAX(A.$0);
ERROR org.apache.pig.tools.grunt.Grunt - ERROR 2106: Error executing an algebraic function
Looks like a good use case to use Nested Foreach
Ref : https://pig.apache.org/docs/r0.14.0/basic.html#foreach
Input :
key1,111,1,12/11/2016,10
key2,111,1,12/11/2016,10
key3,111,1,12/11/2016,10
key4,222,2,12/22/2016,10
key5,222,2,12/22/2016,10
key6,333,3,12/30/2016,10
key7,111,0,12/11/2016,10
PigScript
A = load 'input.csv' using PigStorage(',') AS (col1:chararray,col2:chararray,col3:chararray,col4:chararray,col5:chararray);
B = FOREACH(GROUP A BY (col2,col3,col4)) {
ordered = ORDER A BY col1 DESC;
latest = LIMIT ordered 1;
GENERATE FLATTEN(A) AS (col1:chararray,col2:chararray,col3:chararray,col4:chararray,col5:chararray), FLATTEN(latest.col1) AS col6:chararray;
};
DUMP B;
Output :
(key1,111,1,12/11/2016,10,key3)
(key2,111,1,12/11/2016,10,key3)
(key3,111,1,12/11/2016,10,key3)
(key4,222,2,12/22/2016,10,key5)
(key5,222,2,12/22/2016,10,key5)
(key6,333,3,12/30/2016,10,key6)
(key7,111,0,12/11/2016,10,key7)

Equivalent of Union_map in pig

I have been trying to find the union_map() equivalent in pig. I know for sure that TOMAP function brings in MAP datatype.
But the requirement is to bring all the MAPs for a given id as shown below.
select I1,UNION_MAP(MAP(Key,Val)) as new_val group by I1;
Sample Input and result is provided below.
Input
ID,Key,Val
ID1,K1,V1
ID2,K1,V2
ID2,K3,V3
ID1,K2,V4
ID1,K1,V7
select ID,UNION_MAP(TO_MAP(Key,VAL)) from table group by ID;
Result
ID1,(K1#V7,K2#V4)
ID2,(K1#V2,K3#V3)
I would like to get the similar output in pig.
Download the piggybank.jar from this link http://www.java2s.com/Code/Jar/p/Downloadpiggybankjar.htm and set it in your classpath and try the below approach.
input
ID1,K1,V1
ID2,K1,V2
ID2,K3,V3
ID1,K2,V4
ID1,K1,V7
PigScript:
REGISTER '/tmp/piggybank.jar';
A = LOAD 'input' USING PigStorage(',') AS (ID:chararray,Key:chararray,Val:chararray);
B = RANK A;
C = GROUP B BY (ID,Key);
D = FOREACH C {
sortByRank = ORDER B BY rank_A DESC;
top1 = LIMIT sortByRank 1;
GENERATE FLATTEN(top1);
}
E = GROUP D BY top1::ID;
F = FOREACH E {
ToMap = FOREACH D GENERATE TOMAP(top1::Key,top1::Val);
GENERATE group,BagToTuple(ToMap) AS myMap;
}
DUMP F;
Output:
(ID1,([K1#V7],[K2#V4]))
(ID2,([K1#V2],[K3#V3]))

Foreach inside Foreach in pig

I have rec structure like this:
Read_PeopleAll: {PID: bytearray,Read_PropertyTax: {(PropertyID: bytearray,ReadPropertyDS: (PersonID: bytearay,PropertyID: bytearray))}}
Actually i am trying to access the PropertyID but unable to do it.
a = foreach Read_PeopleAll {
b = foreach Read_PropertyTax{
c = filter ReadPropertyDS by PersonID is not null;
generate $0,c;
};
GENERATE $0,b;
};
dump a;
But i am gettign error like this:
mismatched input '{' expecting GENERATE
Whether i can able to use foreach inside another foreach.
In alternative way i am able to access,
a = FOREACH Read_PeopleAll generate Read_PropertyTax.ReadPropertyDS;
IsValidProperty = FILTER a BY PropertyID==1.
Any suggestions!!!
From the docs:
Note: FOREACH statements can be nested to two levels only. FOREACH statements that are nested to three or more levels will result in a grammar error.
You can have a FOREACH nested in a FOREACH, but you cannot have another nested operation in it.

select count distinct using pig latin

I need help with this pig script. I am just getting a single record. I am selecting 2 columns and doing a count(distinct) on another while also using a where like clause to find a particular description (desc).
Here's my sql with pig I am trying to code.
/*
For example in sql:
select domain, count(distinct(segment)) as segment_cnt
from table
where desc='ABC123'
group by domain
order by segment_count desc;
*/
A = LOAD 'myoutputfile' USING PigStorage('\u0005')
AS (
domain:chararray,
segment:chararray,
desc:chararray
);
B = filter A by (desc=='ABC123');
C = foreach B generate domain, segment;
D = DISTINCT C;
E = group D all;
F = foreach E generate group, COUNT(D) as segment_cnt;
G = order F by segment_cnt DESC;
You could GROUP on each domain and then count the number of distinct elements in each group with a nested FOREACH syntax:
D = group C by domain;
E = foreach D {
unique_segments = DISTINCT C.segment;
generate group, COUNT(unique_segments) as segment_cnt;
};
You can better define this as a macro:
DEFINE DISTINCT_COUNT(A, c) RETURNS dist {
temp = FOREACH $A GENERATE $c;
dist = DISTINCT temp;
groupAll = GROUP dist ALL;
$dist = FOREACH groupAll GENERATE COUNT(dist);
}
Usage:
X = LOAD 'data' AS (x: int);
Y = DISTINCT_COUNT(X, x);
If you need to use it in a FOREACH instead then the easiest way is something like:
...GENERATE COUNT(Distinct(x))...
Tested on Pig 12.
If you don't want to count on any group, you use this:
G = FOREACH (GROUP A ALL){
unique = DISTINCT A.field;
GENERATE COUNT(unique) AS ct;
};
This will just give you a number.

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