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Use native Spark regexp_replace for stopword removal instead of a UDF #1337

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Use native Spark regexp_replace for stopword removal instead of a UDF #1337

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27 changes: 0 additions & 27 deletions common/core/src/main/java/zingg/common/core/preprocess/stopwords/RemoveStopWords.java
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58 changes: 0 additions & 58 deletions common/core/src/main/java/zingg/common/core/preprocess/stopwords/StopWords.java
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21 changes: 0 additions & 21 deletions spark/core/src/main/java/zingg/spark/core/preprocess/stopwords/RemoveStopWordsUDF.java
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22 changes: 2 additions & 20 deletions spark/core/src/main/java/zingg/spark/core/preprocess/stopwords/SparkStopWordsRemover.java
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Original file line number Diff line number Diff line change
@@ -1,7 +1,6 @@
package zingg.spark.core.preprocess.stopwords;

import static org.apache.spark.sql.functions.callUDF;
import static org.apache.spark.sql.functions.lit;
import static org.apache.spark.sql.functions.regexp_replace;

import java.io.Serializable;

Expand All @@ -11,58 +10,41 @@
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.types.DataType;
import org.apache.spark.sql.types.DataTypes;

import zingg.common.client.FieldDefinition;
import zingg.common.client.ZFrame;
import zingg.common.core.context.IContext;
import zingg.common.core.preprocess.stopwords.StopWordsRemover;
import zingg.spark.client.SparkFrame;
import org.apache.spark.sql.SparkSession;
import zingg.spark.core.util.SparkFnRegistrar;

public class SparkStopWordsRemover extends StopWordsRemover<SparkSession,Dataset<Row>,Row,Column,DataType> implements Serializable {

private static final long serialVersionUID = 1L;
protected static String name = "zingg.spark.preprocess.SparkStopWordsRemover";
public static final Log LOG = LogFactory.getLog(SparkStopWordsRemover.class);

private String udfName;

public SparkStopWordsRemover(){
}

public SparkStopWordsRemover(IContext<SparkSession, Dataset<Row>, Row, Column,DataType> context) {
super(context);
registerUDF();
}

public SparkStopWordsRemover(IContext<SparkSession, Dataset<Row>, Row, Column,DataType> context, FieldDefinition fd) {
super(context,fd);
registerUDF();
}

@Override
protected ZFrame<Dataset<Row>, Row, Column> removeStopWordsFromDF(ZFrame<Dataset<Row>, Row, Column> ds,
String fieldName, String pattern) {
Dataset<Row> dfAfterRemoval = ds.df().withColumn(fieldName,callUDF(udfName, ds.df().col(fieldName),lit(pattern)));
Dataset<Row> dfAfterRemoval = ds.df().withColumn(fieldName, regexp_replace(ds.df().col(fieldName), pattern, ""));

return new SparkFrame(dfAfterRemoval);
}

protected void registerUDF() {
RemoveStopWordsUDF removeStopWordsUDF = new RemoveStopWordsUDF();
// Each field will have different pattern
this.udfName = removeStopWordsUDF.getName();
// register the UDF
SparkSession zSession = getContext().getSession();

SparkFnRegistrar.registerUDF2(zSession, udfName, removeStopWordsUDF, DataTypes.StringType);
}

@Override
public void init() {
registerUDF();
}

}
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