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sql-plugin/src/main/java/com/nvidia/spark/rapids/PackedTableHostColumnVector.java
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| /* | ||
| * Copyright (c) 2024, NVIDIA CORPORATION. | ||
| * | ||
| * Licensed 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. | ||
| */ | ||
|
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| package com.nvidia.spark.rapids; | ||
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| import ai.rapids.cudf.ContiguousTable; | ||
| import ai.rapids.cudf.DeviceMemoryBuffer; | ||
| import ai.rapids.cudf.HostMemoryBuffer; | ||
| import com.nvidia.spark.rapids.format.TableMeta; | ||
| import org.apache.spark.sql.types.DataTypes; | ||
| import org.apache.spark.sql.types.Decimal; | ||
| import org.apache.spark.sql.vectorized.ColumnVector; | ||
| import org.apache.spark.sql.vectorized.ColumnarArray; | ||
| import org.apache.spark.sql.vectorized.ColumnarBatch; | ||
| import org.apache.spark.sql.vectorized.ColumnarMap; | ||
| import org.apache.spark.unsafe.types.UTF8String; | ||
|
|
||
| /** | ||
| * A column vector that tracks a packed (or compressed) table on host. Unlike a normal | ||
| * host column vector, the columnar data within cannot be accessed directly. | ||
| * This is intended to only be used during shuffle after the data is partitioned and | ||
| * before it is serialized. | ||
| */ | ||
| public final class PackedTableHostColumnVector extends ColumnVector { | ||
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| private static final String BAD_ACCESS_MSG = "Column is packed"; | ||
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| private final TableMeta tableMeta; | ||
| private final HostMemoryBuffer tableBuffer; | ||
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| PackedTableHostColumnVector(TableMeta tableMeta, HostMemoryBuffer tableBuffer) { | ||
| super(DataTypes.NullType); | ||
| long rows = tableMeta.rowCount(); | ||
| int batchRows = (int) rows; | ||
| if (rows != batchRows) { | ||
| throw new IllegalStateException("Cannot support a batch larger that MAX INT rows"); | ||
| } | ||
| this.tableMeta = tableMeta; | ||
| this.tableBuffer = tableBuffer; | ||
| } | ||
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| private static ColumnarBatch from(TableMeta meta, DeviceMemoryBuffer devBuf) { | ||
| HostMemoryBuffer tableBuf; | ||
| try(HostMemoryBuffer buf = HostMemoryBuffer.allocate(devBuf.getLength())) { | ||
| buf.copyFromDeviceBuffer(devBuf); | ||
| buf.incRefCount(); | ||
| tableBuf = buf; | ||
| } | ||
| ColumnVector column = new PackedTableHostColumnVector(meta, tableBuf); | ||
| return new ColumnarBatch(new ColumnVector[] { column }, (int) meta.rowCount()); | ||
| } | ||
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| /** Both the input table and output batch should be closed. */ | ||
| public static ColumnarBatch from(CompressedTable table) { | ||
| return from(table.meta(), table.buffer()); | ||
| } | ||
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| /** Both the input table and output batch should be closed. */ | ||
| public static ColumnarBatch from(ContiguousTable table) { | ||
| return from(MetaUtils.buildTableMeta(0, table), table.getBuffer()); | ||
| } | ||
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| /** Returns true if this columnar batch uses a packed table on host */ | ||
| public static boolean isBatchPackedOnHost(ColumnarBatch batch) { | ||
| return batch.numCols() == 1 && batch.column(0) instanceof PackedTableHostColumnVector; | ||
| } | ||
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| public TableMeta getTableMeta() { | ||
| return tableMeta; | ||
| } | ||
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| public HostMemoryBuffer getTableBuffer() { | ||
| return tableBuffer; | ||
| } | ||
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| @Override | ||
| public void close() { | ||
| if (tableBuffer != null) { | ||
| tableBuffer.close(); | ||
| } | ||
| } | ||
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| @Override | ||
| public boolean hasNull() { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public int numNulls() { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public boolean isNullAt(int rowId) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public boolean getBoolean(int rowId) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public byte getByte(int rowId) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public short getShort(int rowId) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public int getInt(int rowId) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public long getLong(int rowId) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public float getFloat(int rowId) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public double getDouble(int rowId) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public ColumnarArray getArray(int rowId) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public ColumnarMap getMap(int rowId) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public Decimal getDecimal(int rowId, int precision, int scale) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public UTF8String getUTF8String(int rowId) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public byte[] getBinary(int rowId) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
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| @Override | ||
| public ColumnVector getChild(int ordinal) { | ||
| throw new IllegalStateException(BAD_ACCESS_MSG); | ||
| } | ||
| } |
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