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Merge pull request #274 from navinrathore/StopWordsNoHeader216
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Working with StopWord file if its header does not include the column 'StopWord'
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sonalgoyal authored May 19, 2022
2 parents 61c9bc7 + a47f15e commit ab054de
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5 changes: 5 additions & 0 deletions core/src/main/java/zingg/preprocess/StopWords.java
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Expand Up @@ -3,6 +3,7 @@
import static org.apache.spark.sql.functions.udf;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;

Expand All @@ -25,13 +26,17 @@ public class StopWords {
protected static String name = "zingg.preprocess.StopWords";
public static final Log LOG = LogFactory.getLog(StopWords.class);
protected static String stopWordColumn = "StopWord";
protected static final int COLUMN_INDEX_DEFAULT = 0;

public static Dataset<Row> preprocessForStopWords(SparkSession spark, Arguments args, Dataset<Row> ds) throws ZinggClientException {

List<String> wordList = new ArrayList<String>();
for (FieldDefinition def : args.getFieldDefinition()) {
if (!(def.getStopWords() == null || def.getStopWords() == "")) {
Dataset<Row> stopWords = PipeUtil.read(spark, false, false, PipeUtil.getStopWordsPipe(args, def.getStopWords()));
if (!Arrays.asList(stopWords.schema().fieldNames()).contains(stopWordColumn)) {
stopWordColumn = stopWords.columns()[COLUMN_INDEX_DEFAULT];
}
wordList = stopWords.select(stopWordColumn).as(Encoders.STRING()).collectAsList();
String pattern = wordList.stream().collect(Collectors.joining("|", "\\b(", ")\\b\\s?"));
ds = ds.withColumn(def.getFieldName(), removeStopWords(pattern.toLowerCase()).apply(ds.col(def.getFieldName())));
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44 changes: 44 additions & 0 deletions core/src/test/java/zingg/preprocess/TestStopWords.java
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Expand Up @@ -106,6 +106,50 @@ public void testRemoveStopWordsFromDataset() {
}
}

@Test
public void testStopWordColumnMissingFromStopWordFile() {
try {
StructType schemaOriginal = new StructType(new StructField[] {
new StructField(ColName.ID_COL, DataTypes.StringType, false, Metadata.empty()),
new StructField("field1", DataTypes.StringType, false, Metadata.empty()),
new StructField("field2", DataTypes.StringType, false, Metadata.empty()),
new StructField("field3", DataTypes.StringType, false, Metadata.empty()),
new StructField(ColName.SOURCE_COL, DataTypes.StringType, false, Metadata.empty())
});

Dataset<Row> original = spark.createDataFrame(
Arrays.asList(
RowFactory.create("10", "The zingg is a spark application", "two",
"Yes. a good application", "test"),
RowFactory.create("20", "It is very popular in Data Science", "Three", "true indeed",
"test"),
RowFactory.create("30", "It is written in java and scala", "four", "", "test"),
RowFactory.create("40", "Best of luck to zingg Mobile/T-Mobile", "Five", "thank you", "test")),
schemaOriginal);

Dataset<Row> datasetExpected = spark.createDataFrame(
Arrays.asList(
RowFactory.create("10", "zingg spark application", "two", "Yes. a good application", "test"),
RowFactory.create("20", "very popular data science", "Three", "true indeed", "test"),
RowFactory.create("30", "written java scala", "four", "", "test"),
RowFactory.create("40", "best luck to zingg ", "Five", "thank you", "test")),
schemaOriginal);
String stopWordsFileName = getClass().getResource("../../stopWordsWithoutHeader.csv").getFile();
FieldDefinition fd = new FieldDefinition();
fd.setStopWords(stopWordsFileName);
fd.setFieldName("field1");

List<FieldDefinition> fieldDefinitionList = Arrays.asList(fd);
args.setFieldDefinition(fieldDefinitionList);

Dataset<Row> newDataSet = StopWords.preprocessForStopWords(spark, args, original);
assertTrue(datasetExpected.except(newDataSet).isEmpty());
assertTrue(newDataSet.except(datasetExpected).isEmpty());
} catch (Throwable e) {
fail("Unexpected exception " + e.getMessage());
}
}

@Test
public void testForOriginalDataAfterPostprocess() {

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16 changes: 16 additions & 0 deletions core/src/test/resources/stopWordsWithoutHeader.csv
Original file line number Diff line number Diff line change
@@ -0,0 +1,16 @@
java
Mobile/T-Mobile
a
an
the
is
It
of
and
yes
no
I
has
have
you
in

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