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[SPARK-30193]Wrong 2nd argument type. Found: 'org.apache.spark.sql.Column', required: 'scala.collection.Seq<org.apache.spark.sql.Column>' #26825

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[SPARK-30193]Wrong 2nd argument type. Found: 'org.apache.spark.sql.Column', required: 'scala.collection.Seq<org.apache.spark.sql.Column>' #26825

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7 changes: 3 additions & 4 deletions examples/src/main/java/org/apache/spark/examples/ml/JavaTokenizerExample.java
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Original file line number Diff line number Diff line change
Expand Up @@ -30,13 +30,12 @@
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.RowFactory;
import org.apache.spark.sql.*;
import org.apache.spark.sql.types.DataTypes;
import org.apache.spark.sql.types.Metadata;
import org.apache.spark.sql.types.StructField;
import org.apache.spark.sql.types.StructType;

// col("...") is preferable to df.col("...")
import static org.apache.spark.sql.functions.callUDF;
import static org.apache.spark.sql.functions.col;
// $example off$

Expand Down Expand Up @@ -73,12 +72,12 @@ public static void main(String[] args) {

Dataset<Row> tokenized = tokenizer.transform(sentenceDataFrame);
tokenized.select("sentence", "words")
.withColumn("tokens", callUDF("countTokens", col("words")))
.withColumn("tokens", functions.callUDF("countTokens", col("words")))
.show(false);

Dataset<Row> regexTokenized = regexTokenizer.transform(sentenceDataFrame);
regexTokenized.select("sentence", "words")
.withColumn("tokens", callUDF("countTokens", col("words")))
.withColumn("tokens", functions.callUDF("countTokens", col("words")))
.show(false);
// $example off$

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2 changes: 1 addition & 1 deletion sql/hive/src/test/java/org/apache/spark/sql/hive/JavaDataFrameSuite.java
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Expand Up @@ -85,7 +85,7 @@ public void testUDAF() {
udaf.distinct(col("value")),
udaf.apply(col("value")),
registeredUDAF.apply(col("value")),
callUDF("mydoublesum", col("value")));
functions.callUDF("mydoublesum", col("value")));

List<Row> expectedResult = new ArrayList<>();
expectedResult.add(RowFactory.create(4950.0, 9900.0, 9900.0, 9900.0));
Expand Down