Nick Hryhoriev created SPARK-34204:
--------------------------------------
Summary: input_file_name() func damage applying projection to
physical plan of query.
Key: SPARK-34204
URL: https://issues.apache.org/jira/browse/SPARK-34204
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.4.7
Reporter: Nick Hryhoriev
input_file_name() function damage applying projection to the physical plan of
the query.
if use this function and a new column, column-oriented formats like parquet and
orc put all columns to Physical plan.
While without it, only selected columns uploaded.
In my case, performance influence is x30.
```
package com.appsflyer.datalake.s3.index
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions._
object TestSize {
def main(args: Array[String]): Unit = {
implicit val spark: SparkSession = SparkSession.builder()
.master("local")
.config("spark.sql.shuffle.partitions", "5")
.getOrCreate()
import spark.implicits._
val query1 = spark.read.parquet(
"s3a:/part-00040-a19f0d20-eab3-48ef-be5a-602c7f9a8e58.c000.gz.parquet"
)
.select($"app_id", $"idfa", input_file_name().as("fileName"))
.distinct()
.count()
val query2 = val query1 = spark.read.parquet(
"s3a:/part-00040-a19f0d20-eab3-48ef-be5a-602c7f9a8e58.c000.gz.parquet"
)
.select($"app_id", $"idfa")
.distinct()
.count()
Thread.sleep(10000000000L)
}
}
```
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
