Fix merge of branch-22.04 to branch-22.06

docs/additional-functionality/rapids-shuffle.md

@@ -60,7 +60,7 @@ The minimum UCX requirement for the RAPIDS Shuffle Manager is
    Other considerations:
 
    - Please refer to [Mellanox documentation](
-   https://community.mellanox.com/s/article/recommended-network-configuration-examples-for-roce-deployment)
+   https://support.mellanox.com/s/article/recommended-network-configuration-examples-for-roce-deployment)
    on how to configure RoCE networks (lossless/lossy, QoS, and more)
 
    - We recommend that the `--without-ucx` option is passed when installing MLNX_OFED

sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuParquetScan.scala

@@ -43,6 +43,7 @@ import org.apache.parquet.filter2.predicate.FilterApi
 import org.apache.parquet.format.converter.ParquetMetadataConverter
 import org.apache.parquet.hadoop.{ParquetFileReader, ParquetInputFormat}
 import org.apache.parquet.hadoop.metadata._
+import org.apache.parquet.hadoop.util.HadoopInputFile
 import org.apache.parquet.schema.{GroupType, MessageType, OriginalType, PrimitiveType, Type, Types}
 import org.apache.parquet.schema.PrimitiveType.PrimitiveTypeName
 
@@ -369,8 +370,8 @@ private case class GpuParquetFileFilterHandler(@transient sqlConf: SQLConf) exte
 
     val filePath = new Path(new URI(file.filePath))
     //noinspection ScalaDeprecation
-    val footer = ParquetFileReader.readFooter(conf, filePath,
-      ParquetMetadataConverter.range(file.start, file.start + file.length))
+    val inputFile = HadoopInputFile.fromPath(filePath, conf)
+    val footer = withResource(ParquetFileReader.open(inputFile))(_.getFooter)
     val fileSchema = footer.getFileMetaData.getSchema
     val pushedFilters = if (enableParquetFilterPushDown) {
       val parquetFilters = SparkShimImpl.getParquetFilters(fileSchema, pushDownDate,

sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuTransitionOverrides.scala

@@ -18,7 +18,7 @@ package com.nvidia.spark.rapids
 
 import scala.annotation.tailrec
 
-import com.nvidia.spark.rapids.shims.{GpuOrcScan, GpuParquetScan, SparkShimImpl}
+import com.nvidia.spark.rapids.shims.SparkShimImpl
 
 import org.apache.spark.sql.catalyst.expressions.{Ascending, Attribute, AttributeReference, Expression, InputFileBlockLength, InputFileBlockStart, InputFileName, SortOrder}
 import org.apache.spark.sql.catalyst.rules.Rule

tests/pom.xml

@@ -224,6 +224,12 @@
                     <version>${spark.version}</version>
                     <scope>provided</scope>
                 </dependency>
+                <dependency>
+                    <groupId>org.apache.parquet</groupId>
+                    <artifactId>parquet-common</artifactId>
+                    <version>${spark.version}</version>
+                    <scope>provided</scope>
+                </dependency>
                 <dependency>
                     <groupId>org.apache.parquet</groupId>
                     <artifactId>parquet-column</artifactId>

tests/src/test/scala/com/nvidia/spark/rapids/ParquetWriterSuite.scala

@@ -16,13 +16,15 @@
 
 package com.nvidia.spark.rapids
 
-import java.io.File
+import java.io.{File, FilenameFilter}
 import java.nio.charset.StandardCharsets
 
 import com.nvidia.spark.rapids.shims.SparkShimImpl
+import org.apache.commons.io.filefilter.WildcardFileFilter
 import org.apache.hadoop.fs.Path
 import org.apache.hadoop.mapreduce.{JobContext, TaskAttemptContext}
 import org.apache.parquet.hadoop.ParquetFileReader
+import org.apache.parquet.hadoop.util.HadoopInputFile
 
 import org.apache.spark.{SparkConf, SparkException}
 import org.apache.spark.internal.io.FileCommitProtocol
@@ -32,22 +34,20 @@ import org.apache.spark.sql.rapids.BasicColumnarWriteJobStatsTracker
 /**
  * Tests for writing Parquet files with the GPU.
  */
-@scala.annotation.nowarn(
-  "msg=method readFooters in class ParquetFileReader is deprecated"
-)
 class ParquetWriterSuite extends SparkQueryCompareTestSuite {
   test("file metadata") {
     val tempFile = File.createTempFile("stats", ".parquet")
     try {
       withGpuSparkSession(spark => {
         val df = mixedDfWithNulls(spark)
         df.write.mode("overwrite").parquet(tempFile.getAbsolutePath)
+        val filter: FilenameFilter = new WildcardFileFilter("*.parquet")
+        val inputFile = HadoopInputFile.fromPath(
+          new Path(tempFile.listFiles(filter)(0).getAbsolutePath),
+          spark.sparkContext.hadoopConfiguration)
+        val parquetMeta = withResource(ParquetFileReader.open(inputFile))(_.getFooter)
 
-        val footer = ParquetFileReader.readFooters(spark.sparkContext.hadoopConfiguration,
-          new Path(tempFile.getAbsolutePath)).get(0)
-
-        val parquetMeta = footer.getParquetMetadata
-        val fileMeta = footer.getParquetMetadata.getFileMetaData
+        val fileMeta = parquetMeta.getFileMetaData
         val extra = fileMeta.getKeyValueMetaData
         assert(extra.containsKey("org.apache.spark.version"))
         assert(extra.containsKey("org.apache.spark.sql.parquet.row.metadata"))