Alexandre CLEMENT created SPARK-7276:
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Summary: withColumn is very slow on dataframe with large number of
columns
Key: SPARK-7276
URL: https://issues.apache.org/jira/browse/SPARK-7276
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.3.1
Reporter: Alexandre CLEMENT
The code snippet demonstrates the problem.
val sparkConf = new SparkConf().setAppName("Spark
Test").setMaster(System.getProperty("spark.master", "local[4]"))
val sc = new SparkContext(sparkConf)
val sqlContext = new SQLContext(sc)
import sqlContext.implicits._
val custs = Seq(
Row(1, "Bob", 21, 80.5),
Row(2, "Bobby", 21, 80.5),
Row(3, "Jean", 21, 80.5),
Row(4, "Fatime", 21, 80.5)
)
var fields = List(
StructField("id", IntegerType, true),
StructField("a", IntegerType, true),
StructField("b", StringType, true),
StructField("target", DoubleType, false))
val schema = StructType(fields)
var rdd = sc.parallelize(custs)
var df = sqlContext.createDataFrame(rdd, schema)
for (i <- 1 to 200) {
val now = System.currentTimeMillis
df = df.withColumn("a_new_col_" + i, df("a") + i)
println(s"$i -> " + (System.currentTimeMillis - now))
}
df.show()
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