Yeah, I think it should be "ColumnVector.Array". Already ping @ueshin for
this issue.
Jacek Laskowski wrote
> Hi,
>
> Looks like the change has broken the build for me:
>
> [INFO] --- scala-maven-plugin:3.2.2:doc-jar (attach-scaladocs) @
> spark-sql_2.11 ---
> /Users/jacek/dev/oss/spark/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ArrowColumnVector.java:243:
> error: not found: type Array
> public void loadBytes(Array array) {
> ^
>
> ...
>
> 222 warnings found
> one error found
> [INFO]
> ------------------------------------------------------------------------
> [INFO] Reactor Summary:
> [INFO]
> [INFO] Spark Project Parent POM ........................... SUCCESS [
> 4.864 s]
> [INFO] Spark Project Tags ................................. SUCCESS [
> 5.689 s]
> [INFO] Spark Project Sketch ............................... SUCCESS [
> 4.646 s]
> [INFO] Spark Project Local DB ............................. SUCCESS [
> 6.074 s]
> [INFO] Spark Project Networking ........................... SUCCESS [
> 10.305 s]
> [INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [
> 7.355 s]
> [INFO] Spark Project Unsafe ............................... SUCCESS [
> 7.639 s]
> [INFO] Spark Project Launcher ............................. SUCCESS [
> 10.364 s]
> [INFO] Spark Project Core ................................. SUCCESS [02:01
> min]
> [INFO] Spark Project ML Local Library ..................... SUCCESS [
> 9.711 s]
> [INFO] Spark Project GraphX ............................... SUCCESS [
> 16.652 s]
> [INFO] Spark Project Streaming ............................ SUCCESS [
> 36.845 s]
> [INFO] Spark Project Catalyst ............................. SUCCESS [01:41
> min]
> [INFO] Spark Project SQL .................................. FAILURE [02:14
> min]
>
> Is this only me or others suffer from it too?
>
> Pozdrawiam,
> Jacek Laskowski
> ----
> https://medium.com/@jaceklaskowski/
> Mastering Apache Spark 2 https://bit.ly/mastering-apache-spark
> Follow me at https://twitter.com/jaceklaskowski
>
>
>
> ---------- Forwarded message ----------
> From: <
> wenchen@
> >
> Date: Thu, Jul 20, 2017 at 3:00 PM
> Subject: spark git commit: [SPARK-21472][SQL] Introduce
> ArrowColumnVector as a reader for Arrow vectors.
> To:
> [email protected]
>
>
> Repository: spark
> Updated Branches:
> refs/heads/master 5d1850d4b -> cb19880cd
>
>
> [SPARK-21472][SQL] Introduce ArrowColumnVector as a reader for Arrow
> vectors.
>
> ## What changes were proposed in this pull request?
>
> Introducing `ArrowColumnVector` as a reader for Arrow vectors.
> It extends `ColumnVector`, so we will be able to use it with
> `ColumnarBatch` and its functionalities.
> Currently it supports primitive types and `StringType`, `ArrayType`
> and `StructType`.
>
> ## How was this patch tested?
>
> Added tests for `ArrowColumnVector` and existing tests.
>
> Author: Takuya UESHIN <
> ueshin@
> >
>
> Closes #18680 from ueshin/issues/SPARK-21472.
>
>
> Project: http://git-wip-us.apache.org/repos/asf/spark/repo
> Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/cb19880c
> Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/cb19880c
> Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/cb19880c
>
> Branch: refs/heads/master
> Commit: cb19880cd8d54d09fdd13cfad1914b8b36328a5a
> Parents: 5d1850d
> Author: Takuya UESHIN <
> ueshin@
> >
> Authored: Thu Jul 20 21:00:30 2017 +0800
> Committer: Wenchen Fan <
> wenchen@
> >
> Committed: Thu Jul 20 21:00:30 2017 +0800
>
> ----------------------------------------------------------------------
> .../execution/vectorized/ArrowColumnVector.java | 590 +++++++++++++++++++
> .../sql/execution/vectorized/ColumnVector.java | 16 +-
> .../vectorized/ReadOnlyColumnVector.java | 251 ++++++++
> .../sql/execution/arrow/ArrowConverters.scala | 32 +-
> .../spark/sql/execution/arrow/ArrowUtils.scala | 109 ++++
> .../execution/arrow/ArrowConvertersSuite.scala | 2 +-
> .../sql/execution/arrow/ArrowUtilsSuite.scala | 65 ++
> .../vectorized/ArrowColumnVectorSuite.scala | 410 +++++++++++++
> 8 files changed, 1436 insertions(+), 39 deletions(-)
> ----------------------------------------------------------------------
>
>
> http://git-wip-us.apache.org/repos/asf/spark/blob/cb19880c/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ArrowColumnVector.java
> ----------------------------------------------------------------------
> diff --git
> a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ArrowColumnVector.java
> b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ArrowColumnVector.java
> new file mode 100644
> index 0000000..68e0abc
> --- /dev/null
> +++
> b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ArrowColumnVector.java
> @@ -0,0 +1,590 @@
> +/*
> + * Licensed to the Apache Software Foundation (ASF) under one or more
> + * contributor license agreements. See the NOTICE file distributed with
> + * this work for additional information regarding copyright ownership.
> + * The ASF licenses this file to You 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.
> + */
> +
> +package org.apache.spark.sql.execution.vectorized;
> +
> +import org.apache.arrow.vector.*;
> +import org.apache.arrow.vector.complex.*;
> +import org.apache.arrow.vector.holders.NullableVarCharHolder;
> +
> +import org.apache.spark.memory.MemoryMode;
> +import org.apache.spark.sql.execution.arrow.ArrowUtils;
> +import org.apache.spark.sql.types.*;
> +import org.apache.spark.unsafe.types.UTF8String;
> +
> +/**
> + * A column vector backed by Apache Arrow.
> + */
> +public final class ArrowColumnVector extends ReadOnlyColumnVector {
> +
> + private final ArrowVectorAccessor accessor;
> + private final int valueCount;
> +
> + private void ensureAccessible(int index) {
> + if (index < 0 || index >= valueCount) {
> + throw new IndexOutOfBoundsException(
> + String.format("index: %d, valueCount: %d", index, valueCount));
> + }
> + }
> +
> + private void ensureAccessible(int index, int count) {
> + if (index < 0 || index + count > valueCount) {
> + throw new IndexOutOfBoundsException(
> + String.format("index range: [%d, %d), valueCount: %d", index,
> index + count, valueCount));
> + }
> + }
> +
> + @Override
> + public long nullsNativeAddress() {
> + throw new RuntimeException("Cannot get native address for arrow
> column");
> + }
> +
> + @Override
> + public long valuesNativeAddress() {
> + throw new RuntimeException("Cannot get native address for arrow
> column");
> + }
> +
> + @Override
> + public void close() {
> + if (childColumns != null) {
> + for (int i = 0; i < childColumns.length; i++) {
> + childColumns[i].close();
> + }
> + }
> + accessor.close();
> + }
> +
> + //
> + // APIs dealing with nulls
> + //
> +
> + @Override
> + public boolean isNullAt(int rowId) {
> + ensureAccessible(rowId);
> + return accessor.isNullAt(rowId);
> + }
> +
> + //
> + // APIs dealing with Booleans
> + //
> +
> + @Override
> + public boolean getBoolean(int rowId) {
> + ensureAccessible(rowId);
> + return accessor.getBoolean(rowId);
> + }
> +
> + @Override
> + public boolean[] getBooleans(int rowId, int count) {
> + ensureAccessible(rowId, count);
> + boolean[] array = new boolean[count];
> + for (int i = 0; i < count; ++i) {
> + array[i] = accessor.getBoolean(rowId + i);
> + }
> + return array;
> + }
> +
> + //
> + // APIs dealing with Bytes
> + //
> +
> + @Override
> + public byte getByte(int rowId) {
> + ensureAccessible(rowId);
> + return accessor.getByte(rowId);
> + }
> +
> + @Override
> + public byte[] getBytes(int rowId, int count) {
> + ensureAccessible(rowId, count);
> + byte[] array = new byte[count];
> + for (int i = 0; i < count; ++i) {
> + array[i] = accessor.getByte(rowId + i);
> + }
> + return array;
> + }
> +
> + //
> + // APIs dealing with Shorts
> + //
> +
> + @Override
> + public short getShort(int rowId) {
> + ensureAccessible(rowId);
> + return accessor.getShort(rowId);
> + }
> +
> + @Override
> + public short[] getShorts(int rowId, int count) {
> + ensureAccessible(rowId, count);
> + short[] array = new short[count];
> + for (int i = 0; i < count; ++i) {
> + array[i] = accessor.getShort(rowId + i);
> + }
> + return array;
> + }
> +
> + //
> + // APIs dealing with Ints
> + //
> +
> + @Override
> + public int getInt(int rowId) {
> + ensureAccessible(rowId);
> + return accessor.getInt(rowId);
> + }
> +
> + @Override
> + public int[] getInts(int rowId, int count) {
> + ensureAccessible(rowId, count);
> + int[] array = new int[count];
> + for (int i = 0; i < count; ++i) {
> + array[i] = accessor.getInt(rowId + i);
> + }
> + return array;
> + }
> +
> + @Override
> + public int getDictId(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // APIs dealing with Longs
> + //
> +
> + @Override
> + public long getLong(int rowId) {
> + ensureAccessible(rowId);
> + return accessor.getLong(rowId);
> + }
> +
> + @Override
> + public long[] getLongs(int rowId, int count) {
> + ensureAccessible(rowId, count);
> + long[] array = new long[count];
> + for (int i = 0; i < count; ++i) {
> + array[i] = accessor.getLong(rowId + i);
> + }
> + return array;
> + }
> +
> + //
> + // APIs dealing with floats
> + //
> +
> + @Override
> + public float getFloat(int rowId) {
> + ensureAccessible(rowId);
> + return accessor.getFloat(rowId);
> + }
> +
> + @Override
> + public float[] getFloats(int rowId, int count) {
> + ensureAccessible(rowId, count);
> + float[] array = new float[count];
> + for (int i = 0; i < count; ++i) {
> + array[i] = accessor.getFloat(rowId + i);
> + }
> + return array;
> + }
> +
> + //
> + // APIs dealing with doubles
> + //
> +
> + @Override
> + public double getDouble(int rowId) {
> + ensureAccessible(rowId);
> + return accessor.getDouble(rowId);
> + }
> +
> + @Override
> + public double[] getDoubles(int rowId, int count) {
> + ensureAccessible(rowId, count);
> + double[] array = new double[count];
> + for (int i = 0; i < count; ++i) {
> + array[i] = accessor.getDouble(rowId + i);
> + }
> + return array;
> + }
> +
> + //
> + // APIs dealing with Arrays
> + //
> +
> + @Override
> + public int getArrayLength(int rowId) {
> + ensureAccessible(rowId);
> + return accessor.getArrayLength(rowId);
> + }
> +
> + @Override
> + public int getArrayOffset(int rowId) {
> + ensureAccessible(rowId);
> + return accessor.getArrayOffset(rowId);
> + }
> +
> + @Override
> + public void loadBytes(Array array) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // APIs dealing with Decimals
> + //
> +
> + @Override
> + public Decimal getDecimal(int rowId, int precision, int scale) {
> + ensureAccessible(rowId);
> + return accessor.getDecimal(rowId, precision, scale);
> + }
> +
> + //
> + // APIs dealing with UTF8Strings
> + //
> +
> + @Override
> + public UTF8String getUTF8String(int rowId) {
> + ensureAccessible(rowId);
> + return accessor.getUTF8String(rowId);
> + }
> +
> + //
> + // APIs dealing with Binaries
> + //
> +
> + @Override
> + public byte[] getBinary(int rowId) {
> + ensureAccessible(rowId);
> + return accessor.getBinary(rowId);
> + }
> +
> + public ArrowColumnVector(ValueVector vector) {
> + super(vector.getValueCapacity(),
> ArrowUtils.fromArrowField(vector.getField()),
> + MemoryMode.OFF_HEAP);
> +
> + if (vector instanceof NullableBitVector) {
> + accessor = new BooleanAccessor((NullableBitVector) vector);
> + } else if (vector instanceof NullableTinyIntVector) {
> + accessor = new ByteAccessor((NullableTinyIntVector) vector);
> + } else if (vector instanceof NullableSmallIntVector) {
> + accessor = new ShortAccessor((NullableSmallIntVector) vector);
> + } else if (vector instanceof NullableIntVector) {
> + accessor = new IntAccessor((NullableIntVector) vector);
> + } else if (vector instanceof NullableBigIntVector) {
> + accessor = new LongAccessor((NullableBigIntVector) vector);
> + } else if (vector instanceof NullableFloat4Vector) {
> + accessor = new FloatAccessor((NullableFloat4Vector) vector);
> + } else if (vector instanceof NullableFloat8Vector) {
> + accessor = new DoubleAccessor((NullableFloat8Vector) vector);
> + } else if (vector instanceof NullableDecimalVector) {
> + accessor = new DecimalAccessor((NullableDecimalVector) vector);
> + } else if (vector instanceof NullableVarCharVector) {
> + accessor = new StringAccessor((NullableVarCharVector) vector);
> + } else if (vector instanceof NullableVarBinaryVector) {
> + accessor = new BinaryAccessor((NullableVarBinaryVector) vector);
> + } else if (vector instanceof ListVector) {
> + ListVector listVector = (ListVector) vector;
> + accessor = new ArrayAccessor(listVector);
> +
> + childColumns = new ColumnVector[1];
> + childColumns[0] = new
> ArrowColumnVector(listVector.getDataVector());
> + resultArray = new Array(childColumns[0]);
> + } else if (vector instanceof MapVector) {
> + MapVector mapVector = (MapVector) vector;
> + accessor = new StructAccessor(mapVector);
> +
> + childColumns = new ArrowColumnVector[mapVector.size()];
> + for (int i = 0; i < childColumns.length; ++i) {
> + childColumns[i] = new
> ArrowColumnVector(mapVector.getVectorById(i));
> + }
> + resultStruct = new ColumnarBatch.Row(childColumns);
> + } else {
> + throw new UnsupportedOperationException();
> + }
> + valueCount = accessor.getValueCount();
> + numNulls = accessor.getNullCount();
> + anyNullsSet = numNulls > 0;
> + }
> +
> + private static abstract class ArrowVectorAccessor {
> +
> + private final ValueVector vector;
> + private final ValueVector.Accessor nulls;
> +
> + private final int valueCount;
> + private final int nullCount;
> +
> + ArrowVectorAccessor(ValueVector vector) {
> + this.vector = vector;
> + this.nulls = vector.getAccessor();
> + this.valueCount = nulls.getValueCount();
> + this.nullCount = nulls.getNullCount();
> + }
> +
> + final boolean isNullAt(int rowId) {
> + return nulls.isNull(rowId);
> + }
> +
> + final int getValueCount() {
> + return valueCount;
> + }
> +
> + final int getNullCount() {
> + return nullCount;
> + }
> +
> + final void close() {
> + vector.close();
> + }
> +
> + boolean getBoolean(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + byte getByte(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + short getShort(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + int getInt(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + long getLong(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + float getFloat(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + double getDouble(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + Decimal getDecimal(int rowId, int precision, int scale) {
> + throw new UnsupportedOperationException();
> + }
> +
> + UTF8String getUTF8String(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + byte[] getBinary(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + int getArrayLength(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + int getArrayOffset(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> + }
> +
> + private static class BooleanAccessor extends ArrowVectorAccessor {
> +
> + private final NullableBitVector.Accessor accessor;
> +
> + BooleanAccessor(NullableBitVector vector) {
> + super(vector);
> + this.accessor = vector.getAccessor();
> + }
> +
> + @Override
> + final boolean getBoolean(int rowId) {
> + return accessor.get(rowId) == 1;
> + }
> + }
> +
> + private static class ByteAccessor extends ArrowVectorAccessor {
> +
> + private final NullableTinyIntVector.Accessor accessor;
> +
> + ByteAccessor(NullableTinyIntVector vector) {
> + super(vector);
> + this.accessor = vector.getAccessor();
> + }
> +
> + @Override
> + final byte getByte(int rowId) {
> + return accessor.get(rowId);
> + }
> + }
> +
> + private static class ShortAccessor extends ArrowVectorAccessor {
> +
> + private final NullableSmallIntVector.Accessor accessor;
> +
> + ShortAccessor(NullableSmallIntVector vector) {
> + super(vector);
> + this.accessor = vector.getAccessor();
> + }
> +
> + @Override
> + final short getShort(int rowId) {
> + return accessor.get(rowId);
> + }
> + }
> +
> + private static class IntAccessor extends ArrowVectorAccessor {
> +
> + private final NullableIntVector.Accessor accessor;
> +
> + IntAccessor(NullableIntVector vector) {
> + super(vector);
> + this.accessor = vector.getAccessor();
> + }
> +
> + @Override
> + final int getInt(int rowId) {
> + return accessor.get(rowId);
> + }
> + }
> +
> + private static class LongAccessor extends ArrowVectorAccessor {
> +
> + private final NullableBigIntVector.Accessor accessor;
> +
> + LongAccessor(NullableBigIntVector vector) {
> + super(vector);
> + this.accessor = vector.getAccessor();
> + }
> +
> + @Override
> + final long getLong(int rowId) {
> + return accessor.get(rowId);
> + }
> + }
> +
> + private static class FloatAccessor extends ArrowVectorAccessor {
> +
> + private final NullableFloat4Vector.Accessor accessor;
> +
> + FloatAccessor(NullableFloat4Vector vector) {
> + super(vector);
> + this.accessor = vector.getAccessor();
> + }
> +
> + @Override
> + final float getFloat(int rowId) {
> + return accessor.get(rowId);
> + }
> + }
> +
> + private static class DoubleAccessor extends ArrowVectorAccessor {
> +
> + private final NullableFloat8Vector.Accessor accessor;
> +
> + DoubleAccessor(NullableFloat8Vector vector) {
> + super(vector);
> + this.accessor = vector.getAccessor();
> + }
> +
> + @Override
> + final double getDouble(int rowId) {
> + return accessor.get(rowId);
> + }
> + }
> +
> + private static class DecimalAccessor extends ArrowVectorAccessor {
> +
> + private final NullableDecimalVector.Accessor accessor;
> +
> + DecimalAccessor(NullableDecimalVector vector) {
> + super(vector);
> + this.accessor = vector.getAccessor();
> + }
> +
> + @Override
> + final Decimal getDecimal(int rowId, int precision, int scale) {
> + if (isNullAt(rowId)) return null;
> + return Decimal.apply(accessor.getObject(rowId), precision, scale);
> + }
> + }
> +
> + private static class StringAccessor extends ArrowVectorAccessor {
> +
> + private final NullableVarCharVector.Accessor accessor;
> + private final NullableVarCharHolder stringResult = new
> NullableVarCharHolder();
> +
> + StringAccessor(NullableVarCharVector vector) {
> + super(vector);
> + this.accessor = vector.getAccessor();
> + }
> +
> + @Override
> + final UTF8String getUTF8String(int rowId) {
> + accessor.get(rowId, stringResult);
> + if (stringResult.isSet == 0) {
> + return null;
> + } else {
> + return UTF8String.fromAddress(null,
> + stringResult.buffer.memoryAddress() + stringResult.start,
> + stringResult.end - stringResult.start);
> + }
> + }
> + }
> +
> + private static class BinaryAccessor extends ArrowVectorAccessor {
> +
> + private final NullableVarBinaryVector.Accessor accessor;
> +
> + BinaryAccessor(NullableVarBinaryVector vector) {
> + super(vector);
> + this.accessor = vector.getAccessor();
> + }
> +
> + @Override
> + final byte[] getBinary(int rowId) {
> + return accessor.getObject(rowId);
> + }
> + }
> +
> + private static class ArrayAccessor extends ArrowVectorAccessor {
> +
> + private final UInt4Vector.Accessor accessor;
> +
> + ArrayAccessor(ListVector vector) {
> + super(vector);
> + this.accessor = vector.getOffsetVector().getAccessor();
> + }
> +
> + @Override
> + final int getArrayLength(int rowId) {
> + return accessor.get(rowId + 1) - accessor.get(rowId);
> + }
> +
> + @Override
> + final int getArrayOffset(int rowId) {
> + return accessor.get(rowId);
> + }
> + }
> +
> + private static class StructAccessor extends ArrowVectorAccessor {
> +
> + StructAccessor(MapVector vector) {
> + super(vector);
> + }
> + }
> +}
>
> http://git-wip-us.apache.org/repos/asf/spark/blob/cb19880c/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVector.java
> ----------------------------------------------------------------------
> diff --git
> a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVector.java
> b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVector.java
> index 0c027f8..7796638 100644
> ---
> a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVector.java
> +++
> b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ColumnVector.java
> @@ -646,7 +646,7 @@ public abstract class ColumnVector implements
> AutoCloseable {
> /**
> * Returns the decimal for rowId.
> */
> - public final Decimal getDecimal(int rowId, int precision, int scale) {
> + public Decimal getDecimal(int rowId, int precision, int scale) {
> if (precision <= Decimal.MAX_INT_DIGITS()) {
> return Decimal.createUnsafe(getInt(rowId), precision, scale);
> } else if (precision <= Decimal.MAX_LONG_DIGITS()) {
> @@ -661,7 +661,7 @@ public abstract class ColumnVector implements
> AutoCloseable {
> }
>
>
> - public final void putDecimal(int rowId, Decimal value, int precision) {
> + public void putDecimal(int rowId, Decimal value, int precision) {
> if (precision <= Decimal.MAX_INT_DIGITS()) {
> putInt(rowId, (int) value.toUnscaledLong());
> } else if (precision <= Decimal.MAX_LONG_DIGITS()) {
> @@ -675,7 +675,7 @@ public abstract class ColumnVector implements
> AutoCloseable {
> /**
> * Returns the UTF8String for rowId.
> */
> - public final UTF8String getUTF8String(int rowId) {
> + public UTF8String getUTF8String(int rowId) {
> if (dictionary == null) {
> ColumnVector.Array a = getByteArray(rowId);
> return UTF8String.fromBytes(a.byteArray, a.byteArrayOffset,
> a.length);
> @@ -688,7 +688,7 @@ public abstract class ColumnVector implements
> AutoCloseable {
> /**
> * Returns the byte array for rowId.
> */
> - public final byte[] getBinary(int rowId) {
> + public byte[] getBinary(int rowId) {
> if (dictionary == null) {
> ColumnVector.Array array = getByteArray(rowId);
> byte[] bytes = new byte[array.length];
> @@ -956,7 +956,7 @@ public abstract class ColumnVector implements
> AutoCloseable {
> /**
> * Data type for this column.
> */
> - protected final DataType type;
> + protected DataType type;
>
> /**
> * Number of nulls in this column. This is an optimization for the
> reader, to skip NULL checks.
> @@ -988,17 +988,17 @@ public abstract class ColumnVector implements
> AutoCloseable {
> /**
> * If this is a nested type (array or struct), the column for the child
> data.
> */
> - protected final ColumnVector[] childColumns;
> + protected ColumnVector[] childColumns;
>
> /**
> * Reusable Array holder for getArray().
> */
> - protected final Array resultArray;
> + protected Array resultArray;
>
> /**
> * Reusable Struct holder for getStruct().
> */
> - protected final ColumnarBatch.Row resultStruct;
> + protected ColumnarBatch.Row resultStruct;
>
> /**
> * The Dictionary for this column.
>
> http://git-wip-us.apache.org/repos/asf/spark/blob/cb19880c/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ReadOnlyColumnVector.java
> ----------------------------------------------------------------------
> diff --git
> a/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ReadOnlyColumnVector.java
> b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ReadOnlyColumnVector.java
> new file mode 100644
> index 0000000..e9f6e7c
> --- /dev/null
> +++
> b/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/ReadOnlyColumnVector.java
> @@ -0,0 +1,251 @@
> +/*
> + * Licensed to the Apache Software Foundation (ASF) under one or more
> + * contributor license agreements. See the NOTICE file distributed with
> + * this work for additional information regarding copyright ownership.
> + * The ASF licenses this file to You 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.
> + */
> +
> +package org.apache.spark.sql.execution.vectorized;
> +
> +import org.apache.spark.memory.MemoryMode;
> +import org.apache.spark.sql.types.*;
> +
> +/**
> + * An abstract class for read-only column vector.
> + */
> +public abstract class ReadOnlyColumnVector extends ColumnVector {
> +
> + protected ReadOnlyColumnVector(int capacity, DataType type,
> MemoryMode memMode) {
> + super(capacity, DataTypes.NullType, memMode);
> + this.type = type;
> + isConstant = true;
> + }
> +
> + //
> + // APIs dealing with nulls
> + //
> +
> + @Override
> + public final void putNotNull(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putNull(int rowId) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putNulls(int rowId, int count) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putNotNulls(int rowId, int count) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // APIs dealing with Booleans
> + //
> +
> + @Override
> + public final void putBoolean(int rowId, boolean value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putBooleans(int rowId, int count, boolean value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // APIs dealing with Bytes
> + //
> +
> + @Override
> + public final void putByte(int rowId, byte value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putBytes(int rowId, int count, byte value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putBytes(int rowId, int count, byte[] src, int
> srcIndex) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // APIs dealing with Shorts
> + //
> +
> + @Override
> + public final void putShort(int rowId, short value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putShorts(int rowId, int count, short value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putShorts(int rowId, int count, short[] src, int
> srcIndex) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // APIs dealing with Ints
> + //
> +
> + @Override
> + public final void putInt(int rowId, int value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putInts(int rowId, int count, int value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putInts(int rowId, int count, int[] src, int
> srcIndex) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putIntsLittleEndian(int rowId, int count, byte[]
> src, int srcIndex) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // APIs dealing with Longs
> + //
> +
> + @Override
> + public final void putLong(int rowId, long value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putLongs(int rowId, int count, long value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putLongs(int rowId, int count, long[] src, int
> srcIndex) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putLongsLittleEndian(int rowId, int count, byte[]
> src, int srcIndex) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // APIs dealing with floats
> + //
> +
> + @Override
> + public final void putFloat(int rowId, float value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putFloats(int rowId, int count, float value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putFloats(int rowId, int count, float[] src, int
> srcIndex) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putFloats(int rowId, int count, byte[] src, int
> srcIndex) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // APIs dealing with doubles
> + //
> +
> + @Override
> + public final void putDouble(int rowId, double value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putDoubles(int rowId, int count, double value) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putDoubles(int rowId, int count, double[] src,
> int srcIndex) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final void putDoubles(int rowId, int count, byte[] src, int
> srcIndex) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // APIs dealing with Arrays
> + //
> +
> + @Override
> + public final void putArray(int rowId, int offset, int length) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // APIs dealing with Byte Arrays
> + //
> +
> + @Override
> + public final int putByteArray(int rowId, byte[] value, int offset,
> int count) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // APIs dealing with Decimals
> + //
> +
> + @Override
> + public final void putDecimal(int rowId, Decimal value, int precision) {
> + throw new UnsupportedOperationException();
> + }
> +
> + //
> + // Other APIs
> + //
> +
> + @Override
> + public final void setDictionary(Dictionary dictionary) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + public final ColumnVector reserveDictionaryIds(int capacity) {
> + throw new UnsupportedOperationException();
> + }
> +
> + @Override
> + protected final void reserveInternal(int newCapacity) {
> + throw new UnsupportedOperationException();
> + }
> +}
>
> http://git-wip-us.apache.org/repos/asf/spark/blob/cb19880c/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
> ----------------------------------------------------------------------
> diff --git
> a/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
> b/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
> index 6af5c73..c913efe 100644
> ---
> a/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
> +++
> b/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
> @@ -71,34 +71,6 @@ private[sql] object ArrowPayload {
> private[sql] object ArrowConverters {
>
> /**
> - * Map a Spark DataType to ArrowType.
> - */
> - private[arrow] def sparkTypeToArrowType(dataType: DataType): ArrowType
> = {
> - dataType match {
> - case BooleanType => ArrowType.Bool.INSTANCE
> - case ShortType => new ArrowType.Int(8 * ShortType.defaultSize,
> true)
> - case IntegerType => new ArrowType.Int(8 * IntegerType.defaultSize,
> true)
> - case LongType => new ArrowType.Int(8 * LongType.defaultSize, true)
> - case FloatType => new
> ArrowType.FloatingPoint(FloatingPointPrecision.SINGLE)
> - case DoubleType => new
> ArrowType.FloatingPoint(FloatingPointPrecision.DOUBLE)
> - case ByteType => new ArrowType.Int(8, true)
> - case StringType => ArrowType.Utf8.INSTANCE
> - case BinaryType => ArrowType.Binary.INSTANCE
> - case _ => throw new UnsupportedOperationException(s"Unsupported
> data type: $dataType")
> - }
> - }
> -
> - /**
> - * Convert a Spark Dataset schema to Arrow schema.
> - */
> - private[arrow] def schemaToArrowSchema(schema: StructType): Schema = {
> - val arrowFields = schema.fields.map { f =>
> - new Field(f.name, f.nullable, sparkTypeToArrowType(f.dataType),
> List.empty[Field].asJava)
> - }
> - new Schema(arrowFields.toList.asJava)
> - }
> -
> - /**
> * Maps Iterator from InternalRow to ArrowPayload. Limit
> ArrowRecordBatch size in ArrowPayload
> * by setting maxRecordsPerBatch or use 0 to fully consume rowIter.
> */
> @@ -178,7 +150,7 @@ private[sql] object ArrowConverters {
> batch: ArrowRecordBatch,
> schema: StructType,
> allocator: BufferAllocator): Array[Byte] = {
> - val arrowSchema = ArrowConverters.schemaToArrowSchema(schema)
> + val arrowSchema = ArrowUtils.toArrowSchema(schema)
> val root = VectorSchemaRoot.create(arrowSchema, allocator)
> val out = new ByteArrayOutputStream()
> val writer = new ArrowFileWriter(root, null,
> Channels.newChannel(out))
> @@ -410,7 +382,7 @@ private[arrow] object ColumnWriter {
> * Create an Arrow ColumnWriter given the type and ordinal of row.
> */
> def apply(dataType: DataType, ordinal: Int, allocator:
> BufferAllocator): ColumnWriter = {
> - val dtype = ArrowConverters.sparkTypeToArrowType(dataType)
> + val dtype = ArrowUtils.toArrowType(dataType)
> dataType match {
> case BooleanType => new BooleanColumnWriter(dtype, ordinal,
> allocator)
> case ShortType => new ShortColumnWriter(dtype, ordinal, allocator)
>
> http://git-wip-us.apache.org/repos/asf/spark/blob/cb19880c/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowUtils.scala
> ----------------------------------------------------------------------
> diff --git
> a/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowUtils.scala
> b/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowUtils.scala
> new file mode 100644
> index 0000000..2caf1ef
> --- /dev/null
> +++
> b/sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowUtils.scala
> @@ -0,0 +1,109 @@
> +/*
> + * Licensed to the Apache Software Foundation (ASF) under one or more
> + * contributor license agreements. See the NOTICE file distributed with
> + * this work for additional information regarding copyright ownership.
> + * The ASF licenses this file to You 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.
> + */
> +
> +package org.apache.spark.sql.execution.arrow
> +
> +import scala.collection.JavaConverters._
> +
> +import org.apache.arrow.memory.RootAllocator
> +import org.apache.arrow.vector.types.FloatingPointPrecision
> +import org.apache.arrow.vector.types.pojo.{ArrowType, Field, FieldType,
> Schema}
> +
> +import org.apache.spark.sql.types._
> +
> +object ArrowUtils {
> +
> + val rootAllocator = new RootAllocator(Long.MaxValue)
> +
> + // todo: support more types.
> +
> + def toArrowType(dt: DataType): ArrowType = dt match {
> + case BooleanType => ArrowType.Bool.INSTANCE
> + case ByteType => new ArrowType.Int(8, true)
> + case ShortType => new ArrowType.Int(8 * 2, true)
> + case IntegerType => new ArrowType.Int(8 * 4, true)
> + case LongType => new ArrowType.Int(8 * 8, true)
> + case FloatType => new
> ArrowType.FloatingPoint(FloatingPointPrecision.SINGLE)
> + case DoubleType => new
> ArrowType.FloatingPoint(FloatingPointPrecision.DOUBLE)
> + case StringType => ArrowType.Utf8.INSTANCE
> + case BinaryType => ArrowType.Binary.INSTANCE
> + case DecimalType.Fixed(precision, scale) => new
> ArrowType.Decimal(precision, scale)
> + case _ => throw new UnsupportedOperationException(s"Unsupported
> data type: ${dt.simpleString}")
> + }
> +
> + def fromArrowType(dt: ArrowType): DataType = dt match {
> + case ArrowType.Bool.INSTANCE => BooleanType
> + case int: ArrowType.Int if int.getIsSigned && int.getBitWidth ==
> 8 => ByteType
> + case int: ArrowType.Int if int.getIsSigned && int.getBitWidth ==
> 8 * 2 => ShortType
> + case int: ArrowType.Int if int.getIsSigned && int.getBitWidth ==
> 8 * 4 => IntegerType
> + case int: ArrowType.Int if int.getIsSigned && int.getBitWidth ==
> 8 * 8 => LongType
> + case float: ArrowType.FloatingPoint
> + if float.getPrecision() == FloatingPointPrecision.SINGLE =>
> FloatType
> + case float: ArrowType.FloatingPoint
> + if float.getPrecision() == FloatingPointPrecision.DOUBLE =>
> DoubleType
> + case ArrowType.Utf8.INSTANCE => StringType
> + case ArrowType.Binary.INSTANCE => BinaryType
> + case d: ArrowType.Decimal => DecimalType(d.getPrecision, d.getScale)
> + case _ => throw new UnsupportedOperationException(s"Unsupported
> data type: $dt")
> + }
> +
> + def toArrowField(name: String, dt: DataType, nullable: Boolean): Field
> = {
> + dt match {
> + case ArrayType(elementType, containsNull) =>
> + val fieldType = new FieldType(nullable, ArrowType.List.INSTANCE,
> null)
> + new Field(name, fieldType, Seq(toArrowField("element",
> elementType, containsNull)).asJava)
> + case StructType(fields) =>
> + val fieldType = new FieldType(nullable,
> ArrowType.Struct.INSTANCE, null)
> + new Field(name, fieldType,
> + fields.map { field =>
> + toArrowField(field.name, field.dataType, field.nullable)
> + }.toSeq.asJava)
> + case dataType =>
> + val fieldType = new FieldType(nullable, toArrowType(dataType),
> null)
> + new Field(name, fieldType, Seq.empty[Field].asJava)
> + }
> + }
> +
> + def fromArrowField(field: Field): DataType = {
> + field.getType match {
> + case ArrowType.List.INSTANCE =>
> + val elementField = field.getChildren().get(0)
> + val elementType = fromArrowField(elementField)
> + ArrayType(elementType, containsNull = elementField.isNullable)
> + case ArrowType.Struct.INSTANCE =>
> + val fields = field.getChildren().asScala.map { child =>
> + val dt = fromArrowField(child)
> + StructField(child.getName, dt, child.isNullable)
> + }
> + StructType(fields)
> + case arrowType => fromArrowType(arrowType)
> + }
> + }
> +
> + def toArrowSchema(schema: StructType): Schema = {
> + new Schema(schema.map { field =>
> + toArrowField(field.name, field.dataType, field.nullable)
> + }.asJava)
> + }
> +
> + def fromArrowSchema(schema: Schema): StructType = {
> + StructType(schema.getFields.asScala.map { field =>
> + val dt = fromArrowField(field)
> + StructField(field.getName, dt, field.isNullable)
> + })
> + }
> +}
>
> http://git-wip-us.apache.org/repos/asf/spark/blob/cb19880c/sql/core/src/test/scala/org/apache/spark/sql/execution/arrow/ArrowConvertersSuite.scala
> ----------------------------------------------------------------------
> diff --git
> a/sql/core/src/test/scala/org/apache/spark/sql/execution/arrow/ArrowConvertersSuite.scala
> b/sql/core/src/test/scala/org/apache/spark/sql/execution/arrow/ArrowConvertersSuite.scala
> index 159328c..55b4655 100644
> ---
> a/sql/core/src/test/scala/org/apache/spark/sql/execution/arrow/ArrowConvertersSuite.scala
> +++
> b/sql/core/src/test/scala/org/apache/spark/sql/execution/arrow/ArrowConvertersSuite.scala
> @@ -1202,7 +1202,7 @@ class ArrowConvertersSuite extends
> SharedSQLContext with BeforeAndAfterAll {
> val allocator = new RootAllocator(Long.MaxValue)
> val jsonReader = new JsonFileReader(jsonFile, allocator)
>
> - val arrowSchema = ArrowConverters.schemaToArrowSchema(sparkSchema)
> + val arrowSchema = ArrowUtils.toArrowSchema(sparkSchema)
> val jsonSchema = jsonReader.start()
> Validator.compareSchemas(arrowSchema, jsonSchema)
>
>
> http://git-wip-us.apache.org/repos/asf/spark/blob/cb19880c/sql/core/src/test/scala/org/apache/spark/sql/execution/arrow/ArrowUtilsSuite.scala
> ----------------------------------------------------------------------
> diff --git
> a/sql/core/src/test/scala/org/apache/spark/sql/execution/arrow/ArrowUtilsSuite.scala
> b/sql/core/src/test/scala/org/apache/spark/sql/execution/arrow/ArrowUtilsSuite.scala
> new file mode 100644
> index 0000000..638619f
> --- /dev/null
> +++
> b/sql/core/src/test/scala/org/apache/spark/sql/execution/arrow/ArrowUtilsSuite.scala
> @@ -0,0 +1,65 @@
> +/*
> + * Licensed to the Apache Software Foundation (ASF) under one or more
> + * contributor license agreements. See the NOTICE file distributed with
> + * this work for additional information regarding copyright ownership.
> + * The ASF licenses this file to You 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.
> + */
> +
> +package org.apache.spark.sql.execution.arrow
> +
> +import org.apache.spark.SparkFunSuite
> +import org.apache.spark.sql.types._
> +
> +class ArrowUtilsSuite extends SparkFunSuite {
> +
> + def roundtrip(dt: DataType): Unit = {
> + dt match {
> + case schema: StructType =>
> +
> assert(ArrowUtils.fromArrowSchema(ArrowUtils.toArrowSchema(schema))
> === schema)
> + case _ =>
> + roundtrip(new StructType().add("value", dt))
> + }
> + }
> +
> + test("simple") {
> + roundtrip(BooleanType)
> + roundtrip(ByteType)
> + roundtrip(ShortType)
> + roundtrip(IntegerType)
> + roundtrip(LongType)
> + roundtrip(FloatType)
> + roundtrip(DoubleType)
> + roundtrip(StringType)
> + roundtrip(BinaryType)
> + roundtrip(DecimalType.SYSTEM_DEFAULT)
> + }
> +
> + test("array") {
> + roundtrip(ArrayType(IntegerType, containsNull = true))
> + roundtrip(ArrayType(IntegerType, containsNull = false))
> + roundtrip(ArrayType(ArrayType(IntegerType, containsNull = true),
> containsNull = true))
> + roundtrip(ArrayType(ArrayType(IntegerType, containsNull = false),
> containsNull = true))
> + roundtrip(ArrayType(ArrayType(IntegerType, containsNull = true),
> containsNull = false))
> + roundtrip(ArrayType(ArrayType(IntegerType, containsNull = false),
> containsNull = false))
> + }
> +
> + test("struct") {
> + roundtrip(new StructType())
> + roundtrip(new StructType().add("i", IntegerType))
> + roundtrip(new StructType().add("arr", ArrayType(IntegerType)))
> + roundtrip(new StructType().add("i", IntegerType).add("arr",
> ArrayType(IntegerType)))
> + roundtrip(new StructType().add(
> + "struct",
> + new StructType().add("i", IntegerType).add("arr",
> ArrayType(IntegerType))))
> + }
> +}
>
> http://git-wip-us.apache.org/repos/asf/spark/blob/cb19880c/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ArrowColumnVectorSuite.scala
> ----------------------------------------------------------------------
> diff --git
> a/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ArrowColumnVectorSuite.scala
> b/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ArrowColumnVectorSuite.scala
> new file mode 100644
> index 0000000..d24a9e1
> --- /dev/null
> +++
> b/sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ArrowColumnVectorSuite.scala
> @@ -0,0 +1,410 @@
> +/*
> + * Licensed to the Apache Software Foundation (ASF) under one or more
> + * contributor license agreements. See the NOTICE file distributed with
> + * this work for additional information regarding copyright ownership.
> + * The ASF licenses this file to You 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.
> + */
> +
> +package org.apache.spark.sql.execution.vectorized
> +
> +import org.apache.arrow.vector._
> +import org.apache.arrow.vector.complex._
> +
> +import org.apache.spark.SparkFunSuite
> +import org.apache.spark.sql.execution.arrow.ArrowUtils
> +import org.apache.spark.sql.types._
> +import org.apache.spark.unsafe.types.UTF8String
> +
> +class ArrowColumnVectorSuite extends SparkFunSuite {
> +
> + test("boolean") {
> + val allocator =
> ArrowUtils.rootAllocator.newChildAllocator("boolean", 0,
> Long.MaxValue)
> + val vector = ArrowUtils.toArrowField("boolean", BooleanType,
> nullable = true)
> + .createVector(allocator).asInstanceOf[NullableBitVector]
> + vector.allocateNew()
> + val mutator = vector.getMutator()
> +
> + (0 until 10).foreach { i =>
> + mutator.setSafe(i, if (i % 2 == 0) 1 else 0)
> + }
> + mutator.setNull(10)
> + mutator.setValueCount(11)
> +
> + val columnVector = new ArrowColumnVector(vector)
> + assert(columnVector.dataType === BooleanType)
> + assert(columnVector.anyNullsSet)
> + assert(columnVector.numNulls === 1)
> +
> + (0 until 10).foreach { i =>
> + assert(columnVector.getBoolean(i) === (i % 2 == 0))
> + }
> + assert(columnVector.isNullAt(10))
> +
> + assert(columnVector.getBooleans(0, 10) === (0 until 10).map(i =>
> (i % 2 == 0)))
> +
> + columnVector.close()
> + allocator.close()
> + }
> +
> + test("byte") {
> + val allocator =
> ArrowUtils.rootAllocator.newChildAllocator("byte", 0, Long.MaxValue)
> + val vector = ArrowUtils.toArrowField("byte", ByteType, nullable =
> true)
> + .createVector(allocator).asInstanceOf[NullableTinyIntVector]
> + vector.allocateNew()
> + val mutator = vector.getMutator()
> +
> + (0 until 10).foreach { i =>
> + mutator.setSafe(i, i.toByte)
> + }
> + mutator.setNull(10)
> + mutator.setValueCount(11)
> +
> + val columnVector = new ArrowColumnVector(vector)
> + assert(columnVector.dataType === ByteType)
> + assert(columnVector.anyNullsSet)
> + assert(columnVector.numNulls === 1)
> +
> + (0 until 10).foreach { i =>
> + assert(columnVector.getByte(i) === i.toByte)
> + }
> + assert(columnVector.isNullAt(10))
> +
> + assert(columnVector.getBytes(0, 10) === (0 until 10).map(i =>
> i.toByte))
> +
> + columnVector.close()
> + allocator.close()
> + }
> +
> + test("short") {
> + val allocator =
> ArrowUtils.rootAllocator.newChildAllocator("short", 0, Long.MaxValue)
> + val vector = ArrowUtils.toArrowField("short", ShortType, nullable =
> true)
> + .createVector(allocator).asInstanceOf[NullableSmallIntVector]
> + vector.allocateNew()
> + val mutator = vector.getMutator()
> +
> + (0 until 10).foreach { i =>
> + mutator.setSafe(i, i.toShort)
> + }
> + mutator.setNull(10)
> + mutator.setValueCount(11)
> +
> + val columnVector = new ArrowColumnVector(vector)
> + assert(columnVector.dataType === ShortType)
> + assert(columnVector.anyNullsSet)
> + assert(columnVector.numNulls === 1)
> +
> + (0 until 10).foreach { i =>
> + assert(columnVector.getShort(i) === i.toShort)
> + }
> + assert(columnVector.isNullAt(10))
> +
> + assert(columnVector.getShorts(0, 10) === (0 until 10).map(i =>
> i.toShort))
> +
> + columnVector.close()
> + allocator.close()
> + }
> +
> + test("int") {
> + val allocator = ArrowUtils.rootAllocator.newChildAllocator("int",
> 0, Long.MaxValue)
> + val vector = ArrowUtils.toArrowField("int", IntegerType, nullable =
> true)
> + .createVector(allocator).asInstanceOf[NullableIntVector]
> + vector.allocateNew()
> + val mutator = vector.getMutator()
> +
> + (0 until 10).foreach { i =>
> + mutator.setSafe(i, i)
> + }
> + mutator.setNull(10)
> + mutator.setValueCount(11)
> +
> + val columnVector = new ArrowColumnVector(vector)
> + assert(columnVector.dataType === IntegerType)
> + assert(columnVector.anyNullsSet)
> + assert(columnVector.numNulls === 1)
> +
> + (0 until 10).foreach { i =>
> + assert(columnVector.getInt(i) === i)
> + }
> + assert(columnVector.isNullAt(10))
> +
> + assert(columnVector.getInts(0, 10) === (0 until 10))
> +
> + columnVector.close()
> + allocator.close()
> + }
> +
> + test("long") {
> + val allocator =
> ArrowUtils.rootAllocator.newChildAllocator("long", 0, Long.MaxValue)
> + val vector = ArrowUtils.toArrowField("long", LongType, nullable =
> true)
> + .createVector(allocator).asInstanceOf[NullableBigIntVector]
> + vector.allocateNew()
> + val mutator = vector.getMutator()
> +
> + (0 until 10).foreach { i =>
> + mutator.setSafe(i, i.toLong)
> + }
> + mutator.setNull(10)
> + mutator.setValueCount(11)
> +
> + val columnVector = new ArrowColumnVector(vector)
> + assert(columnVector.dataType === LongType)
> + assert(columnVector.anyNullsSet)
> + assert(columnVector.numNulls === 1)
> +
> + (0 until 10).foreach { i =>
> + assert(columnVector.getLong(i) === i.toLong)
> + }
> + assert(columnVector.isNullAt(10))
> +
> + assert(columnVector.getLongs(0, 10) === (0 until 10).map(i =>
> i.toLong))
> +
> + columnVector.close()
> + allocator.close()
> + }
> +
> + test("float") {
> + val allocator =
> ArrowUtils.rootAllocator.newChildAllocator("float", 0, Long.MaxValue)
> + val vector = ArrowUtils.toArrowField("float", FloatType, nullable =
> true)
> + .createVector(allocator).asInstanceOf[NullableFloat4Vector]
> + vector.allocateNew()
> + val mutator = vector.getMutator()
> +
> + (0 until 10).foreach { i =>
> + mutator.setSafe(i, i.toFloat)
> + }
> + mutator.setNull(10)
> + mutator.setValueCount(11)
> +
> + val columnVector = new ArrowColumnVector(vector)
> + assert(columnVector.dataType === FloatType)
> + assert(columnVector.anyNullsSet)
> + assert(columnVector.numNulls === 1)
> +
> + (0 until 10).foreach { i =>
> + assert(columnVector.getFloat(i) === i.toFloat)
> + }
> + assert(columnVector.isNullAt(10))
> +
> + assert(columnVector.getFloats(0, 10) === (0 until 10).map(i =>
> i.toFloat))
> +
> + columnVector.close()
> + allocator.close()
> + }
> +
> + test("double") {
> + val allocator =
> ArrowUtils.rootAllocator.newChildAllocator("double", 0, Long.MaxValue)
> + val vector = ArrowUtils.toArrowField("double", DoubleType, nullable =
> true)
> + .createVector(allocator).asInstanceOf[NullableFloat8Vector]
> + vector.allocateNew()
> + val mutator = vector.getMutator()
> +
> + (0 until 10).foreach { i =>
> + mutator.setSafe(i, i.toDouble)
> + }
> + mutator.setNull(10)
> + mutator.setValueCount(11)
> +
> + val columnVector = new ArrowColumnVector(vector)
> + assert(columnVector.dataType === DoubleType)
> + assert(columnVector.anyNullsSet)
> + assert(columnVector.numNulls === 1)
> +
> + (0 until 10).foreach { i =>
> + assert(columnVector.getDouble(i) === i.toDouble)
> + }
> + assert(columnVector.isNullAt(10))
> +
> + assert(columnVector.getDoubles(0, 10) === (0 until 10).map(i =>
> i.toDouble))
> +
> + columnVector.close()
> + allocator.close()
> + }
> +
> + test("string") {
> + val allocator =
> ArrowUtils.rootAllocator.newChildAllocator("string", 0, Long.MaxValue)
> + val vector = ArrowUtils.toArrowField("string", StringType, nullable =
> true)
> + .createVector(allocator).asInstanceOf[NullableVarCharVector]
> + vector.allocateNew()
> + val mutator = vector.getMutator()
> +
> + (0 until 10).foreach { i =>
> + val utf8 = s"str$i".getBytes("utf8")
> + mutator.setSafe(i, utf8, 0, utf8.length)
> + }
> + mutator.setNull(10)
> + mutator.setValueCount(11)
> +
> + val columnVector = new ArrowColumnVector(vector)
> + assert(columnVector.dataType === StringType)
> + assert(columnVector.anyNullsSet)
> + assert(columnVector.numNulls === 1)
> +
> + (0 until 10).foreach { i =>
> + assert(columnVector.getUTF8String(i) ===
> UTF8String.fromString(s"str$i"))
> + }
> + assert(columnVector.isNullAt(10))
> +
> + columnVector.close()
> + allocator.close()
> + }
> +
> + test("binary") {
> + val allocator =
> ArrowUtils.rootAllocator.newChildAllocator("binary", 0, Long.MaxValue)
> + val vector = ArrowUtils.toArrowField("binary", BinaryType, nullable =
> true)
> + .createVector(allocator).asInstanceOf[NullableVarBinaryVector]
> + vector.allocateNew()
> + val mutator = vector.getMutator()
> +
> + (0 until 10).foreach { i =>
> + val utf8 = s"str$i".getBytes("utf8")
> + mutator.setSafe(i, utf8, 0, utf8.length)
> + }
> + mutator.setNull(10)
> + mutator.setValueCount(11)
> +
> + val columnVector = new ArrowColumnVector(vector)
> + assert(columnVector.dataType === BinaryType)
> + assert(columnVector.anyNullsSet)
> + assert(columnVector.numNulls === 1)
> +
> + (0 until 10).foreach { i =>
> + assert(columnVector.getBinary(i) === s"str$i".getBytes("utf8"))
> + }
> + assert(columnVector.isNullAt(10))
> +
> + columnVector.close()
> + allocator.close()
> + }
> +
> + test("array") {
> + val allocator =
> ArrowUtils.rootAllocator.newChildAllocator("array", 0, Long.MaxValue)
> + val vector = ArrowUtils.toArrowField("array",
> ArrayType(IntegerType), nullable = true)
> + .createVector(allocator).asInstanceOf[ListVector]
> + vector.allocateNew()
> + val mutator = vector.getMutator()
> + val elementVector =
> vector.getDataVector().asInstanceOf[NullableIntVector]
> + val elementMutator = elementVector.getMutator()
> +
> + // [1, 2]
> + mutator.startNewValue(0)
> + elementMutator.setSafe(0, 1)
> + elementMutator.setSafe(1, 2)
> + mutator.endValue(0, 2)
> +
> + // [3, null, 5]
> + mutator.startNewValue(1)
> + elementMutator.setSafe(2, 3)
> + elementMutator.setNull(3)
> + elementMutator.setSafe(4, 5)
> + mutator.endValue(1, 3)
> +
> + // null
> +
> + // []
> + mutator.startNewValue(3)
> + mutator.endValue(3, 0)
> +
> + elementMutator.setValueCount(5)
> + mutator.setValueCount(4)
> +
> + val columnVector = new ArrowColumnVector(vector)
> + assert(columnVector.dataType === ArrayType(IntegerType))
> + assert(columnVector.anyNullsSet)
> + assert(columnVector.numNulls === 1)
> +
> + val array0 = columnVector.getArray(0)
> + assert(array0.numElements() === 2)
> + assert(array0.getInt(0) === 1)
> + assert(array0.getInt(1) === 2)
> +
> + val array1 = columnVector.getArray(1)
> + assert(array1.numElements() === 3)
> + assert(array1.getInt(0) === 3)
> + assert(array1.isNullAt(1))
> + assert(array1.getInt(2) === 5)
> +
> + assert(columnVector.isNullAt(2))
> +
> + val array3 = columnVector.getArray(3)
> + assert(array3.numElements() === 0)
> +
> + columnVector.close()
> + allocator.close()
> + }
> +
> + test("struct") {
> + val allocator =
> ArrowUtils.rootAllocator.newChildAllocator("struct", 0, Long.MaxValue)
> + val schema = new StructType().add("int", IntegerType).add("long",
> LongType)
> + val vector = ArrowUtils.toArrowField("struct", schema, nullable =
> true)
> + .createVector(allocator).asInstanceOf[NullableMapVector]
> + vector.allocateNew()
> + val mutator = vector.getMutator()
> + val intVector =
> vector.getChildByOrdinal(0).asInstanceOf[NullableIntVector]
> + val intMutator = intVector.getMutator()
> + val longVector =
> vector.getChildByOrdinal(1).asInstanceOf[NullableBigIntVector]
> + val longMutator = longVector.getMutator()
> +
> + // (1, 1L)
> + mutator.setIndexDefined(0)
> + intMutator.setSafe(0, 1)
> + longMutator.setSafe(0, 1L)
> +
> + // (2, null)
> + mutator.setIndexDefined(1)
> + intMutator.setSafe(1, 2)
> + longMutator.setNull(1)
> +
> + // (null, 3L)
> + mutator.setIndexDefined(2)
> + intMutator.setNull(2)
> + longMutator.setSafe(2, 3L)
> +
> + // null
> + mutator.setNull(3)
> +
> + // (5, 5L)
> + mutator.setIndexDefined(4)
> + intMutator.setSafe(4, 5)
> + longMutator.setSafe(4, 5L)
> +
> + intMutator.setValueCount(5)
> + longMutator.setValueCount(5)
> + mutator.setValueCount(5)
> +
> + val columnVector = new ArrowColumnVector(vector)
> + assert(columnVector.dataType === schema)
> + assert(columnVector.anyNullsSet)
> + assert(columnVector.numNulls === 1)
> +
> + val row0 = columnVector.getStruct(0, 2)
> + assert(row0.getInt(0) === 1)
> + assert(row0.getLong(1) === 1L)
> +
> + val row1 = columnVector.getStruct(1, 2)
> + assert(row1.getInt(0) === 2)
> + assert(row1.isNullAt(1))
> +
> + val row2 = columnVector.getStruct(2, 2)
> + assert(row2.isNullAt(0))
> + assert(row2.getLong(1) === 3L)
> +
> + assert(columnVector.isNullAt(3))
> +
> + val row4 = columnVector.getStruct(4, 2)
> + assert(row4.getInt(0) === 5)
> + assert(row4.getLong(1) === 5L)
> +
> + columnVector.close()
> + allocator.close()
> + }
> +}
>
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail:
> [email protected]
> For additional commands, e-mail:
> [email protected]
>
> ---------------------------------------------------------------------
> To unsubscribe e-mail:
> [email protected]
-----
Liang-Chi Hsieh | @viirya
Spark Technology Center
http://www.spark.tc/
--
View this message in context:
http://apache-spark-developers-list.1001551.n3.nabble.com/Fwd-spark-git-commit-SPARK-21472-SQL-Introduce-ArrowColumnVector-as-a-reader-for-Arrow-vectors-tp22003p22004.html
Sent from the Apache Spark Developers List mailing list archive at Nabble.com.
---------------------------------------------------------------------
To unsubscribe e-mail: [email protected]
