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Fix spark400 build due to LogicalRelation signature changes [databricks] #11695

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Original file line number Diff line number Diff line change
@@ -0,0 +1,38 @@
/*
* Copyright (c) 2024, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

/*** spark-rapids-shim-json-lines
{"spark": "332db"}
{"spark": "340"}
{"spark": "341"}
{"spark": "341db"}
{"spark": "342"}
{"spark": "343"}
{"spark": "350"}
{"spark": "351"}
{"spark": "352"}
{"spark": "353"}
spark-rapids-shim-json-lines ***/
package com.nvidia.spark.rapids.shims

import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.execution.datasources.{FileIndex, HadoopFsRelation, LogicalRelation}

object LogicalPlanShims {
def getLocations(plan: LogicalPlan): Seq[FileIndex] = plan.collect {
case LogicalRelation(t: HadoopFsRelation, _, _, _) => t.location
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -29,6 +29,7 @@
spark-rapids-shim-json-lines ***/
package org.apache.spark.sql.rapids

import com.nvidia.spark.rapids.shims.LogicalPlanShims
import org.apache.hadoop.fs.Path

import org.apache.spark.sql._
Expand Down Expand Up @@ -83,9 +84,7 @@ case class GpuDataSource(
PartitioningUtils.validatePartitionColumn(data.schema, partitionColumns, caseSensitive)

val fileIndex = catalogTable.map(_.identifier).map { tableIdent =>
sparkSession.table(tableIdent).queryExecution.analyzed.collect {
case LogicalRelation(t: HadoopFsRelation, _, _, _) => t.location
}.head
LogicalPlanShims.getLocations(sparkSession.table(tableIdent).queryExecution.analyzed).head
Comment on lines -86 to +87
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It is not a nice Scala but I recommend to future-proof and avoid small shim burden:

    val fileIndex = catalogTable.map(_.identifier).map { tableIdent =>
      sparkSession.table(tableIdent).queryExecution.analyzed.collect {
        case lr: LogicalRelation if lr.relation.isInstanceOf[HadoopFsRelation] => 
          lr.relation.asInstanceOf[HadoopFsRelation].location
      }.head
    }

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I considered this at first, but I'm not sure this is "future-proof." I think we'd rather prefer to have the compiler and/or runtime inform us if a Spark platform changed this interface, since we may need to do more than just ignore the added parameters. In those cases Spark would have to change this corresponding code, and we would need to change it in a compatible way. Maybe that change is to ignore the added or removed parameters, maybe not.

}

// For partitioned relation r, r.schema's column ordering can be different from the column
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,29 @@
/*
* Copyright (c) 2024, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

/*** spark-rapids-shim-json-lines
{"spark": "400"}
spark-rapids-shim-json-lines ***/
package com.nvidia.spark.rapids.shims

import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.execution.datasources.{FileIndex, HadoopFsRelation, LogicalRelationWithTable}

object LogicalPlanShims {
def getLocations(plan: LogicalPlan): Seq[FileIndex] = plan.collect {
case LogicalRelationWithTable(t: HadoopFsRelation, _) => t.location
}
}