Re: Spark Aggregator with ARRAY input and ARRAY output
Thanks Raghavendra,
Could you be more specific about how I can use ExpressionEncoder()? More
specifically, how can I conform to the return type of Encoder>?
Thomas
On Sun, Apr 23, 2023 at 9:42 AM Raghavendra Ganesh
wrote:
> For simple array types setting encoder to ExpressionEncoder() should work.
> --
> Raghavendra
>
>
> On Sun, Apr 23, 2023 at 9:20 PM Thomas Wang wrote:
>
>> Hi Spark Community,
>>
>> I'm trying to implement a custom Spark Aggregator (a subclass to
>> org.apache.spark.sql.expressions.Aggregator). Correct me if I'm wrong,
>> but I'm assuming I will be able to use it as an aggregation function like
>> SUM.
>>
>> What I'm trying to do is that I have a column of ARRAY and I
>> would like to GROUP BY another column and perform element-wise SUM if
>> the boolean flag is set to True. The result of such aggregation should
>> return ARRAY.
>>
>> Here is my implementation so far:
>>
>> package mypackage.udf;
>>
>> import org.apache.spark.sql.Encoder;
>> import org.apache.spark.sql.expressions.Aggregator;
>>
>> import java.util.ArrayList;
>> import java.util.List;
>>
>> public class ElementWiseAgg extends Aggregator, List,
>> List> {
>>
>> @Override
>> public List zero() {
>> return new ArrayList<>();
>> }
>>
>> @Override
>> public List reduce(List b, List a) {
>> if (a == null) return b;
>> int diff = a.size() - b.size();
>> for (int i = 0; i < diff; i++) {
>> b.add(0L);
>> }
>> for (int i = 0; i < a.size(); i++) {
>> if (a.get(i)) b.set(i, b.get(i) + 1);
>> }
>> return b;
>> }
>>
>> @Override
>> public List merge(List b1, List b2) {
>> List longer;
>> List shorter;
>> if (b1.size() > b2.size()) {
>> longer = b1;
>> shorter = b2;
>> } else {
>> longer = b2;
>> shorter = b1;
>> }
>> for (int i = 0; i < shorter.size(); i++) {
>> longer.set(i, longer.get(i) + shorter.get(i));
>> }
>> return longer;
>> }
>>
>> @Override
>> public List finish(List reduction) {
>> return reduction;
>> }
>>
>> @Override
>> public Encoder> bufferEncoder() {
>> return null;
>> }
>>
>> @Override
>> public Encoder> outputEncoder() {
>> return null;
>> }
>> }
>>
>> The part I'm not quite sure is how to override bufferEncoder and
>> outputEncoder. The default Encoders list does not provide encoding for
>> List.
>>
>> Can someone point me to the right direction? Thanks!
>>
>>
>> Thomas
>>
>>
>>
Re: Spark Aggregator with ARRAY input and ARRAY output
For simple array types setting encoder to ExpressionEncoder() should work.
--
Raghavendra
On Sun, Apr 23, 2023 at 9:20 PM Thomas Wang wrote:
> Hi Spark Community,
>
> I'm trying to implement a custom Spark Aggregator (a subclass to
> org.apache.spark.sql.expressions.Aggregator). Correct me if I'm wrong,
> but I'm assuming I will be able to use it as an aggregation function like
> SUM.
>
> What I'm trying to do is that I have a column of ARRAY and I
> would like to GROUP BY another column and perform element-wise SUM if the
> boolean flag is set to True. The result of such aggregation should return
> ARRAY.
>
> Here is my implementation so far:
>
> package mypackage.udf;
>
> import org.apache.spark.sql.Encoder;
> import org.apache.spark.sql.expressions.Aggregator;
>
> import java.util.ArrayList;
> import java.util.List;
>
> public class ElementWiseAgg extends Aggregator, List,
> List> {
>
> @Override
> public List zero() {
> return new ArrayList<>();
> }
>
> @Override
> public List reduce(List b, List a) {
> if (a == null) return b;
> int diff = a.size() - b.size();
> for (int i = 0; i < diff; i++) {
> b.add(0L);
> }
> for (int i = 0; i < a.size(); i++) {
> if (a.get(i)) b.set(i, b.get(i) + 1);
> }
> return b;
> }
>
> @Override
> public List merge(List b1, List b2) {
> List longer;
> List shorter;
> if (b1.size() > b2.size()) {
> longer = b1;
> shorter = b2;
> } else {
> longer = b2;
> shorter = b1;
> }
> for (int i = 0; i < shorter.size(); i++) {
> longer.set(i, longer.get(i) + shorter.get(i));
> }
> return longer;
> }
>
> @Override
> public List finish(List reduction) {
> return reduction;
> }
>
> @Override
> public Encoder> bufferEncoder() {
> return null;
> }
>
> @Override
> public Encoder> outputEncoder() {
> return null;
> }
> }
>
> The part I'm not quite sure is how to override bufferEncoder and
> outputEncoder. The default Encoders list does not provide encoding for
> List.
>
> Can someone point me to the right direction? Thanks!
>
>
> Thomas
>
>
>
Spark Aggregator with ARRAY input and ARRAY output
Hi Spark Community,
I'm trying to implement a custom Spark Aggregator (a subclass to
org.apache.spark.sql.expressions.Aggregator). Correct me if I'm wrong, but
I'm assuming I will be able to use it as an aggregation function like SUM.
What I'm trying to do is that I have a column of ARRAY and I would
like to GROUP BY another column and perform element-wise SUM if the boolean
flag is set to True. The result of such aggregation should return
ARRAY.
Here is my implementation so far:
package mypackage.udf;
import org.apache.spark.sql.Encoder;
import org.apache.spark.sql.expressions.Aggregator;
import java.util.ArrayList;
import java.util.List;
public class ElementWiseAgg extends Aggregator,
List, List> {
@Override
public List zero() {
return new ArrayList<>();
}
@Override
public List reduce(List b, List a) {
if (a == null) return b;
int diff = a.size() - b.size();
for (int i = 0; i < diff; i++) {
b.add(0L);
}
for (int i = 0; i < a.size(); i++) {
if (a.get(i)) b.set(i, b.get(i) + 1);
}
return b;
}
@Override
public List merge(List b1, List b2) {
List longer;
List shorter;
if (b1.size() > b2.size()) {
longer = b1;
shorter = b2;
} else {
longer = b2;
shorter = b1;
}
for (int i = 0; i < shorter.size(); i++) {
longer.set(i, longer.get(i) + shorter.get(i));
}
return longer;
}
@Override
public List finish(List reduction) {
return reduction;
}
@Override
public Encoder> bufferEncoder() {
return null;
}
@Override
public Encoder> outputEncoder() {
return null;
}
}
The part I'm not quite sure is how to override bufferEncoder and
outputEncoder. The default Encoders list does not provide encoding for List.
Can someone point me to the right direction? Thanks!
Thomas
