Hi,

aggregate performs an in-place aggregation, i.e., the input and output type of 
aggregate() is identical, but the aggregated fields are updated. 

Causion: All fields that are not associated with an aggregation function and 
are not not a grouping field have non-deterministic values. That means as well, 
that you cannot apply more than one aggregation function for each fields (e.g., 
computing min and max for the same field is not possible with aggregate())


Best, Fabian






From: Michele Bertoni
Sent: ‎Wednesday‎, ‎8‎. ‎July‎, ‎2015 ‎10‎:‎06
To: user@flink.apache.org





hi, you are not printing the aggregation but the input



val result = orders.aggregate(Aggregations.MAX, 2)  
result.print


cheers
michele



> Il giorno 08/lug/2015, alle ore 02:00, hagersaleh <loveallah1...@yahoo.com> 
> ha scritto:
> 
> why when use orders.aggregate(Aggregations.MAX, 2) not return one value but
> return more value
> 
> ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();    
> DataSet<Orders> orders=(DataSet<Orders>)
> env.readCsvFile("/home/hadoop/Desktop/Dataset/orders.csv")
>      .fieldDelimiter('|')
>      .includeFields(mask).ignoreFirstLine()
>      .tupleType(get_Order().getClass());
>       orders.aggregate(Aggregations.MAX, 2)  ;
> 
> orders.print();    
> 
> orders.writeAsCsv("/home/hadoop/Desktop/Dataset/join_instead_of_optmization",
> "\n", "|",WriteMode.OVERWRITE);
>         env.execute();
> 
> out put
> 1> (280866,129457,96048.38)
> 1> (280867,16568,89875.17)
> 1> (280868,47827,118013.89)
> 1> (280869,104143,220415.76)
> 1> (280870,105512,262166.76)
> 1> (280871,36244,123478.83)
> 1> (280896,148177,92956.99)
> 1> (280897,83611,128889.07)
> 1> (280898,29863,289893.15)
> 1> (280899,143962,111581.46)
> 1> (280900,43577,26781.38)
> 1> (280901,87340,30915.09)
> 1> (280902,6769,235803.72)
> 1> (280903,61471,138553.46)
> 1> (280928,69407,168763.3)
> 1> (280929,114457,5392.93)
> 1> (280930,58939,47427.22)
> 1> (280931,110210,125524.13)
> 1> (280932,91751,11434.53)
> 
> 
> 
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