[GitHub] [incubator-hudi] lamber-ken edited a comment on issue #1552: Time taken for upserting hudi table is increasing with increase in number of partitions

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lamber-ken edited a comment on issue #1552:
URL: https://github.com/apache/incubator-hudi/issues/1552#issuecomment-619449248


   hi @harshi2506, build steps:
   **1. Build Env**
   - JDK8
   - Unix
   
   **2. Commands**
   ```
   git clone https://github.com/apache/incubator-hudi.git
   mvn clean install -DskipTests -DskipITs -Dcheckstyle.skip=true 
-Drat.skip=true
   ```
   
   **3. Run env**
   - Spark-2.4.4+
   - avro-1.8.0
   ```
   // run in local env
   export SPARK_HOME=/work/BigData/install/spark/spark-2.4.4-bin-hadoop2.7
   ${SPARK_HOME}/bin/spark-shell \
     --driver-memory 6G \
     --packages org.apache.spark:spark-avro_2.11:2.4.4 \
     --jars `ls 
packaging/hudi-spark-bundle/target/hudi-spark-bundle_*.*-*.*.*-SNAPSHOT.jar` \
     --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer'
   
   // run in yarn env
   export SPARK_HOME=/BigData/install/spark-2.4.4-bin-hadoop2.7
   ${SPARK_HOME}/bin/spark-shell \
     --master yarn \
     --driver-memory 6G \
     --executor-memory 6G \
     --num-executors 5 \
     --executor-cores 5 \
     --queue root.default \
     --packages org.apache.spark:spark-avro_2.11:2.4.4 \
     --jars `ls 
packaging/hudi-spark-bundle/target/hudi-spark-bundle_*.*-*.*.*-SNAPSHOT.jar` \
     --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer'
   
   // scripts
   import org.apache.spark.sql.functions._
   
   val tableName = "hudi_mor_table"
   val basePath = "file:///tmp/hudi_mor_tablen"
   // val basePath = "hdfs:///hudi/test"
   
   val hudiOptions = Map[String,String](
     "hoodie.upsert.shuffle.parallelism" -> "10",
     "hoodie.datasource.write.recordkey.field" -> "key",
     "hoodie.datasource.write.partitionpath.field" -> "dt", 
     "hoodie.table.name" -> tableName,
     "hoodie.datasource.write.precombine.field" -> "timestamp"
   )
   
   val inputDF = spark.range(1, 7).
      withColumn("key", $"id").
      withColumn("data", lit("data")).
      withColumn("timestamp", unix_timestamp()).
      withColumn("dtstamp", unix_timestamp() + ($"id" * 24 * 3600)).
      withColumn("dt", from_unixtime($"dtstamp", "yyyy/MM/dd"))
   
   inputDF.write.format("org.apache.hudi").
     options(hudiOptions).
     mode("Overwrite").
     save(basePath)
   
   spark.read.format("org.apache.hudi").load(basePath + "/*/*/*").show();
   ```


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