Upgrade to new parquet

pom.xml

@@ -133,7 +133,7 @@
     <!-- Version used for internal directory structure -->
     <hive.version.short>1.2.1</hive.version.short>
     <derby.version>10.12.1.1</derby.version>
-    <parquet.version>1.8.1</parquet.version>
+    <parquet.version>1.8.1-palantir7</parquet.version>
     <hive.parquet.version>1.6.0</hive.parquet.version>
     <jetty.version>9.2.16.v20160414</jetty.version>
     <javaxservlet.version>3.1.0</javaxservlet.version>
@@ -223,6 +223,18 @@
     <CodeCacheSize>512m</CodeCacheSize>
   </properties>
   <repositories>
+    <repository>
+      <id>palantir</id>
+      <!-- This should be at top, it makes maven try the central repo first and then others and hence faster dep resolution -->
+      <name>Palantir Maven Repository</name>
+      <url>http://dl.bintray.com/palantir/releases</url>
+      <releases>
+        <enabled>true</enabled>
+      </releases>
+      <snapshots>
+        <enabled>false</enabled>
+      </snapshots>
+    </repository>
     <repository>
       <id>central</id>
       <!-- This should be at top, it makes maven try the central repo first and then others and hence faster dep resolution -->

sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java

@@ -31,6 +31,8 @@
 import java.util.Map;
 import java.util.Set;
 
+import com.google.common.collect.ImmutableList;
+import org.apache.parquet.filter2.compat.RowGroupFilter;
 import scala.Option;
 
 import static org.apache.parquet.filter2.compat.RowGroupFilter.filterRowGroups;
@@ -105,9 +107,13 @@ public void initialize(InputSplit inputSplit, TaskAttemptContext taskAttemptCont
     if (rowGroupOffsets == null) {
       // then we need to apply the predicate push down filter
       footer = readFooter(configuration, file, range(split.getStart(), split.getEnd()));
-      MessageType fileSchema = footer.getFileMetaData().getSchema();
       FilterCompat.Filter filter = getFilter(configuration);
-      blocks = filterRowGroups(filter, footer.getBlocks(), fileSchema);
+      ParquetFileReader reader = ParquetFileReader.open(taskAttemptContext.getConfiguration(), file, footer);
+      blocks = filterRowGroups(
+              ImmutableList.of(RowGroupFilter.FilterLevel.STATISTICS, RowGroupFilter.FilterLevel.DICTIONARY),
+              filter,
+              footer.getBlocks(),
+              reader);
     } else {
       // otherwise we find the row groups that were selected on the client
       footer = readFooter(configuration, file, NO_FILTER);
@@ -146,8 +152,7 @@ public void initialize(InputSplit inputSplit, TaskAttemptContext taskAttemptCont
     String sparkRequestedSchemaString =
         configuration.get(ParquetReadSupport$.MODULE$.SPARK_ROW_REQUESTED_SCHEMA());
     this.sparkSchema = StructType$.MODULE$.fromString(sparkRequestedSchemaString);
-    this.reader = new ParquetFileReader(
-        configuration, footer.getFileMetaData(), file, blocks, requestedSchema.getColumns());
+    this.reader = new ParquetFileReader(configuration, file, footer);
     for (BlockMetaData block : blocks) {
       this.totalRowCount += block.getRowCount();
     }

sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java

@@ -539,7 +539,7 @@ private void readPageV2(DataPageV2 page) throws IOException {
     this.defColumn = new VectorizedRleValuesReader(bitWidth);
     this.definitionLevelColumn = new ValuesReaderIntIterator(this.defColumn);
     this.defColumn.initFromBuffer(
-        this.pageValueCount, page.getDefinitionLevels().toByteArray());
+        this.pageValueCount, page.getDefinitionLevels().toByteBuffer());
     try {
       initDataReader(page.getDataEncoding(), page.getData().toByteArray(), 0);
     } catch (IOException e) {

sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedPlainValuesReader.java

@@ -41,6 +41,11 @@ public class VectorizedPlainValuesReader extends ValuesReader implements Vectori
   public VectorizedPlainValuesReader() {
   }
 
+  @Override
+  public void initFromPage(int valueCount, ByteBuffer byteBuffer, int offset) throws IOException {
+    initFromPage(valueCount, byteBuffer.array(), offset);
+  }
+
   @Override
   public void initFromPage(int valueCount, byte[] bytes, int offset) throws IOException {
     this.buffer = bytes;

sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedRleValuesReader.java

@@ -27,6 +27,8 @@
 
 import org.apache.spark.sql.execution.vectorized.ColumnVector;
 
+import java.nio.ByteBuffer;
+
 /**
  * A values reader for Parquet's run-length encoded data. This is based off of the version in
  * parquet-mr with these changes:
@@ -49,7 +51,7 @@ private enum MODE {
   }
 
   // Encoded data.
-  private byte[] in;
+  private ByteBuffer in;
   private int end;
   private int offset;
 
@@ -81,7 +83,7 @@ public VectorizedRleValuesReader(int bitWidth) {
   }
 
   @Override
-  public void initFromPage(int valueCount, byte[] page, int start) {
+  public void initFromPage(int valueCount, ByteBuffer page, int start) {
     this.offset = start;
     this.in = page;
     if (fixedWidth) {
@@ -90,8 +92,8 @@ public void initFromPage(int valueCount, byte[] page, int start) {
         this.end = this.offset + length;
       }
     } else {
-      this.end = page.length;
-      if (this.end != this.offset) init(page[this.offset++] & 255);
+      this.end = page.limit();
+      if (this.end != this.offset) init(page.get(this.offset++) & 255);
     }
     if (bitWidth == 0) {
       // 0 bit width, treat this as an RLE run of valueCount number of 0's.
@@ -105,10 +107,10 @@ public void initFromPage(int valueCount, byte[] page, int start) {
 
   // Initialize the reader from a buffer. This is used for the V2 page encoding where the
   // definition are in its own buffer.
-  public void initFromBuffer(int valueCount, byte[] data) {
+  public void initFromBuffer(int valueCount, ByteBuffer data) {
     this.offset = 0;
     this.in = data;
-    this.end = data.length;
+    this.end = data.limit();
     if (bitWidth == 0) {
       // 0 bit width, treat this as an RLE run of valueCount number of 0's.
       this.mode = MODE.RLE;
@@ -527,7 +529,7 @@ private int readUnsignedVarInt() {
     int shift = 0;
     int b;
     do {
-      b = in[offset++] & 255;
+      b = in.get(offset++) & 255;
       value |= (b & 0x7F) << shift;
       shift += 7;
     } while ((b & 0x80) != 0);
@@ -538,10 +540,10 @@ private int readUnsignedVarInt() {
    * Reads the next 4 byte little endian int.
    */
   private int readIntLittleEndian() {
-    int ch4 = in[offset] & 255;
-    int ch3 = in[offset + 1] & 255;
-    int ch2 = in[offset + 2] & 255;
-    int ch1 = in[offset + 3] & 255;
+    int ch4 = in.get(offset) & 255;
+    int ch3 = in.get(offset + 1) & 255;
+    int ch2 = in.get(offset + 2) & 255;
+    int ch1 = in.get(offset + 3) & 255;
     offset += 4;
     return ((ch1 << 24) + (ch2 << 16) + (ch3 << 8) + (ch4 << 0));
   }
@@ -554,17 +556,17 @@ private int readIntLittleEndianPaddedOnBitWidth() {
       case 0:
         return 0;
       case 1:
-        return in[offset++] & 255;
+        return in.get(offset++) & 255;
       case 2: {
-        int ch2 = in[offset] & 255;
-        int ch1 = in[offset + 1] & 255;
+        int ch2 = in.get(offset) & 255;
+        int ch1 = in.get(offset + 1) & 255;
         offset += 2;
         return (ch1 << 8) + ch2;
       }
       case 3: {
-        int ch3 = in[offset] & 255;
-        int ch2 = in[offset + 1] & 255;
-        int ch1 = in[offset + 2] & 255;
+        int ch3 = in.get(offset) & 255;
+        int ch2 = in.get(offset + 1) & 255;
+        int ch1 = in.get(offset + 2) & 255;
         offset += 3;
         return (ch1 << 16) + (ch2 << 8) + (ch3 << 0);
       }