running Spark SQL queries. You do not need to set a proper shuffle partition number to fit your dataset. To enable this feature, we need to set the below two configs to true. spark.sql.adaptive.enabled=true oin=0.2 By default, if there are only less than 20% partitions of the dataset contain data, Spark will not broadcast the dataset. EliminateJoinToEmptyRelation This optimization rule detects and converts apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259) at org

running Spark SQL queries. You do not need to set a proper shuffle partition number to fit your dataset. To enable this feature, we need to set the below two configs to true. spark.sql.adaptive.enabled=true oin=0.2 By default, if there are only less than 20% partitions of the dataset contain data, Spark will not broadcast the dataset. EliminateJoinToEmptyRelation This optimization rule detects and converts apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259) at org

running Spark SQL queries. You do not need to set a proper shuffle partition number to fit your dataset. To enable this feature, we need to set the below two configs to true. spark.sql.adaptive.enabled=true oin=0.2 By default, if there are only less than 20% partitions of the dataset contain data, Spark will not broadcast the dataset. EliminateJoinToEmptyRelation This optimization rule detects and converts apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259)

running Spark SQL queries. You do not need to set a proper shuffle partition number to fit your dataset. To enable this feature, we need to set the below two configs to true. spark.sql.adaptive.enabled=true oin=0.2 By default, if there are only less than 20% partitions of the dataset contain data, Spark will not broadcast the dataset. EliminateJoinToEmptyRelation This optimization rule detects and converts apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259)

running Spark SQL queries. You do not need to set a proper shuffle partition number to fit your dataset. To enable this feature, we need to set the below two configs to true. spark.sql.adaptive.enabled=true oin=0.2 By default, if there are only less than 20% partitions of the dataset contain data, Spark will not broadcast the dataset. EliminateJoinToEmptyRelation This optimization rule detects and converts apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259) at org

running Spark SQL queries. You do not need to set a proper shuffle partition number to fit your dataset. To enable this feature, we need to set the below two configs to true. spark.sql.adaptive.enabled=true oin=0.2 By default, if there are only less than 20% partitions of the dataset contain data, Spark will not broadcast the dataset. EliminateJoinToEmptyRelation This optimization rule detects and converts apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259) at org

running Spark SQL queries. You do not need to set a proper shuffle partition number to fit your dataset. To enable this feature, we need to set the below two configs to true. spark.sql.adaptive.enabled=true oin=0.2 By default, if there are only less than 20% partitions of the dataset contain data, Spark will not broadcast the dataset. EliminateJoinToEmptyRelation This optimization rule detects and converts apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259) at org

running Spark SQL queries. You do not need to set a proper shuffle partition number to fit your dataset. To enable this feature, we need to set the below two configs to true. spark.sql.adaptive.enabled=true oin=0.2 By default, if there are only less than 20% partitions of the dataset contain data, Spark will not broadcast the dataset. EliminateJoinToEmptyRelation This optimization rule detects and converts apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259)

running Spark SQL queries. You do not need to set a proper shuffle partition number to fit your dataset. To enable this feature, we need to set the below two configs to true. spark.sql.adaptive.enabled=true oin=0.2 By default, if there are only less than 20% partitions of the dataset contain data, Spark will not broadcast the dataset. EliminateJoinToEmptyRelation This optimization rule detects and converts apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259) at org

running Spark SQL queries. You do not need to set a proper shuffle partition number to fit your dataset. To enable this feature, we need to set the below two configs to true. spark.sql.adaptive.enabled=true oin=0.2 By default, if there are only less than 20% partitions of the dataset contain data, Spark will not broadcast the dataset. EliminateJoinToEmptyRelation This optimization rule detects and converts apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190) at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259)