diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala
index 1a8d0e310aec..346663616192 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala
@@ -187,7 +187,23 @@ case class FileSourceScanExec(
     "InputPaths" -> relation.location.paths.mkString(", "))
 
   private lazy val inputRDD: RDD[InternalRow] = {
-    val selectedPartitions = relation.location.listFiles(partitionFilters)
+    val originalPartitions = relation.location.listFiles(partitionFilters)
+    val filteredPartitions = if (relation.location.paths.isEmpty) {
+      originalPartitions
+    } else {
+      relation.fileFormat.filterPartitions(
+        dataFilters,
+        outputSchema,
+        relation.sparkSession.sparkContext.hadoopConfiguration,
+        relation.location.allFiles(),
+        relation.location.paths.head,
+        originalPartitions)
+    }
+    val totalFilesRaw = originalPartitions.map(_.files.size).sum
+    val totalFilesFiltered = filteredPartitions.map(_.files.size).sum
+    logInfo(s"Filtered down total number of partitions to ${filteredPartitions.size}"
+      + s" from ${originalPartitions.size}, "
+      + s"total number of files to ${totalFilesFiltered} from ${totalFilesRaw}")
 
     val readFile: (PartitionedFile) => Iterator[InternalRow] =
       relation.fileFormat.buildReaderWithPartitionValues(
@@ -201,9 +217,9 @@ case class FileSourceScanExec(
 
     relation.bucketSpec match {
       case Some(bucketing) if relation.sparkSession.sessionState.conf.bucketingEnabled =>
-        createBucketedReadRDD(bucketing, readFile, selectedPartitions, relation)
+        createBucketedReadRDD(bucketing, readFile, filteredPartitions, relation)
       case _ =>
-        createNonBucketedReadRDD(readFile, selectedPartitions, relation)
+        createNonBucketedReadRDD(readFile, filteredPartitions, relation)
     }
   }
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/fileSourceInterfaces.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/fileSourceInterfaces.scala
index e03a2323c749..fe17080be7e2 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/fileSourceInterfaces.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/fileSourceInterfaces.scala
@@ -219,6 +219,21 @@ trait FileFormat {
     false
   }
 
+  /**
+   * Allow FileFormats to have a pluggable way to utilize pushed filters to eliminate partitions
+   * before execution. By default no pruning is performed and the original partitioning is
+   * preserved.
+   */
+  def filterPartitions(
+      filters: Seq[Filter],
+      schema: StructType,
+      conf: Configuration,
+      allFiles: Seq[FileStatus],
+      root: Path,
+      partitions: Seq[Partition]): Seq[Partition] = {
+    partitions
+  }
+
   /**
    * Returns whether a file with `path` could be splitted or not.
    */
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
index 9c4778acf53d..ecca2bdee386 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
@@ -27,12 +27,14 @@ import scala.util.{Failure, Try}
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.fs.{FileStatus, Path}
 import org.apache.hadoop.mapreduce._
-import org.apache.hadoop.mapreduce.lib.input.{FileInputFormat, FileSplit}
+import org.apache.hadoop.mapreduce.lib.input.FileSplit
 import org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl
 import org.apache.parquet.{Log => ApacheParquetLog}
-import org.apache.parquet.filter2.compat.FilterCompat
+import org.apache.parquet.filter2.compat.{FilterCompat, RowGroupFilter}
 import org.apache.parquet.filter2.predicate.FilterApi
+import org.apache.parquet.format.converter.ParquetMetadataConverter
 import org.apache.parquet.hadoop._
+import org.apache.parquet.hadoop.metadata.ParquetMetadata
 import org.apache.parquet.hadoop.util.ContextUtil
 import org.apache.parquet.schema.MessageType
 import org.slf4j.bridge.SLF4JBridgeHandler
@@ -58,6 +60,9 @@ class ParquetFileFormat
   with Logging
   with Serializable {
 
+  // Attempt to cache parquet metadata
+  @transient @volatile private var cachedMetadata: ParquetMetadata = _
+
   override def shortName(): String = "parquet"
 
   override def toString: String = "ParquetFormat"
@@ -423,6 +428,64 @@ class ParquetFileFormat
       sqlContext.sessionState.newHadoopConf(),
       options)
   }
+
+  override def filterPartitions(
+      filters: Seq[Filter],
+      schema: StructType,
+      conf: Configuration,
+      allFiles: Seq[FileStatus],
+      root: Path,
+      partitions: Seq[Partition]): Seq[Partition] = {
+    // Read the "_metadata" file if available, contains all block headers. On S3 better to grab
+    // all of the footers in a batch rather than having to read every single file just to get its
+    // footer.
+    allFiles.find(_.getPath.getName == ParquetFileWriter.PARQUET_METADATA_FILE).map { stat =>
+      val metadata = getOrReadMetadata(conf, stat)
+      partitions.map { part =>
+        filterByMetadata(
+          filters,
+          schema,
+          conf,
+          root,
+          metadata,
+          part)
+      }.filterNot(_.files.isEmpty)
+    }.getOrElse(partitions)
+  }
+
+  private def filterByMetadata(
+      filters: Seq[Filter],
+      schema: StructType,
+      conf: Configuration,
+      root: Path,
+      metadata: ParquetMetadata,
+      partition: Partition): Partition = {
+    val blockMetadatas = metadata.getBlocks.asScala
+    val parquetSchema = metadata.getFileMetaData.getSchema
+    val conjunctiveFilter = filters
+      .flatMap(ParquetFilters.createFilter(schema, _))
+      .reduceOption(FilterApi.and)
+    conjunctiveFilter.map { conjunction =>
+      val filteredBlocks = RowGroupFilter.filterRowGroups(
+        FilterCompat.get(conjunction), blockMetadatas.asJava, parquetSchema).asScala.map { bmd =>
+        new Path(root, bmd.getPath).toString
+      }
+      Partition(partition.values, partition.files.filter { f =>
+        filteredBlocks.contains(f.getPath.toString)
+      })
+    }.getOrElse(partition)
+  }
+
+  private def getOrReadMetadata(conf: Configuration, stat: FileStatus): ParquetMetadata = {
+    if (cachedMetadata == null) {
+      logInfo("Reading summary metadata into cache in ParquetFileFormat")
+      cachedMetadata = ParquetFileReader.readFooter(conf, stat, ParquetMetadataConverter.NO_FILTER)
+    } else {
+      logInfo("Using cached summary metadata")
+    }
+    cachedMetadata
+  }
+
 }
 
 /**
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
index 9dd8d9f80496..2621c12655d1 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
@@ -703,6 +703,16 @@ class ParquetQuerySuite extends QueryTest with ParquetTest with SharedSQLContext
       }
     }
   }
+
+  test("SPARK-17059: Allow FileFormat to specify partition pruning strategy") {
+    withSQLConf(ParquetOutputFormat.ENABLE_JOB_SUMMARY -> "true") {
+      withTempPath { path =>
+        Seq(1, 2, 3).toDF("x").write.parquet(path.getCanonicalPath)
+        val df = spark.read.parquet(path.getCanonicalPath).where("x = 0")
+        assert(df.rdd.partitions.length == 0)
+      }
+    }
+  }
 }
 
 object TestingUDT {