diff --git a/sql/core/src/main/scala/org/apache/spark/sql/parquet/newParquet.scala b/sql/core/src/main/scala/org/apache/spark/sql/parquet/newParquet.scala
index 19800ad88c03..b0c6bb668037 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/parquet/newParquet.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/parquet/newParquet.scala
@@ -33,9 +33,7 @@ import org.apache.hadoop.io.Writable
 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat
 import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat
 import org.apache.hadoop.mapreduce.{InputSplit, Job, JobContext}
-
 import parquet.filter2.predicate.FilterApi
-import parquet.format.converter.ParquetMetadataConverter
 import parquet.hadoop.metadata.CompressionCodecName
 import parquet.hadoop.util.ContextUtil
 import parquet.hadoop.{ParquetInputFormat, _}
@@ -226,7 +224,7 @@ private[sql] case class ParquetRelation2(
     private var commonMetadataStatuses: Array[FileStatus] = _
 
     // Parquet footer cache.
-    var footers: Map[FileStatus, Footer] = _
+    var footers: Map[Path, Footer] = _
 
     // `FileStatus` objects of all data files (Parquet part-files).
     var dataStatuses: Array[FileStatus] = _
@@ -292,11 +290,20 @@ private[sql] case class ParquetRelation2(
       commonMetadataStatuses =
         leaves.filter(_.getPath.getName == ParquetFileWriter.PARQUET_COMMON_METADATA_FILE)
 
-      footers = (dataStatuses ++ metadataStatuses ++ commonMetadataStatuses).par.map { f =>
-        val parquetMetadata = ParquetFileReader.readFooter(
-          sparkContext.hadoopConfiguration, f, ParquetMetadataConverter.NO_FILTER)
-        f -> new Footer(f.getPath, parquetMetadata)
-      }.seq.toMap
+      footers = {
+        val taskSideMetaData =
+          sparkContext.hadoopConfiguration.getBoolean(ParquetInputFormat.TASK_SIDE_METADATA, true)
+
+        val rawFooters = if (shouldMergeSchemas) {
+          ParquetFileReader.readAllFootersInParallel(
+            sparkContext.hadoopConfiguration, seqAsJavaList(leaves), taskSideMetaData)
+        } else {
+          ParquetFileReader.readAllFootersInParallelUsingSummaryFiles(
+            sparkContext.hadoopConfiguration, seqAsJavaList(leaves), taskSideMetaData)
+        }
+
+        rawFooters.map(footer => footer.getFile -> footer).toMap
+      }
 
       partitionSpec = maybePartitionSpec.getOrElse {
         val partitionDirs = leaves
@@ -381,7 +388,7 @@ private[sql] case class ParquetRelation2(
             .toSeq
         }
 
-      ParquetRelation2.readSchema(filesToTouch.map(footers.apply), sqlContext)
+      ParquetRelation2.readSchema(filesToTouch.map(f => footers.apply(f.getPath)), sqlContext)
     }
   }
 
@@ -426,7 +433,7 @@ private[sql] case class ParquetRelation2(
     } else {
       metadataCache.dataStatuses.toSeq
     }
-    val selectedFooters = selectedFiles.map(metadataCache.footers)
+    val selectedFooters = selectedFiles.map(f => metadataCache.footers(f.getPath))
 
     // FileInputFormat cannot handle empty lists.
     if (selectedFiles.nonEmpty) {
@@ -774,7 +781,7 @@ private[sql] object ParquetRelation2 extends Logging {
     val ordinalMap = metastoreSchema.zipWithIndex.map {
       case (field, index) => field.name.toLowerCase -> index
     }.toMap
-    val reorderedParquetSchema = mergedParquetSchema.sortBy(f => 
+    val reorderedParquetSchema = mergedParquetSchema.sortBy(f =>
       ordinalMap.getOrElse(f.name.toLowerCase, metastoreSchema.size + 1))
 
     StructType(metastoreSchema.zip(reorderedParquetSchema).map {