siddharthteotia commented on code in PR #8583: URL: https://github.com/apache/pinot/pull/8583#discussion_r867254960
########## pinot-query-runtime/src/main/java/org/apache/pinot/query/runtime/blocks/DataBlockBuilder.java: ########## @@ -0,0 +1,406 @@ +/** + * 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.pinot.query.runtime.blocks; + +import java.io.ByteArrayOutputStream; +import java.io.DataOutputStream; +import java.io.IOException; +import java.math.BigDecimal; +import java.nio.ByteBuffer; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import org.apache.pinot.common.utils.DataSchema; +import org.apache.pinot.core.common.ObjectSerDeUtils; +import org.apache.pinot.core.common.datatable.DataTableUtils; +import org.apache.pinot.spi.utils.ArrayCopyUtils; +import org.apache.pinot.spi.utils.BigDecimalUtils; +import org.apache.pinot.spi.utils.ByteArray; + + +public class DataBlockBuilder { + private final DataSchema _dataSchema; + private final BaseDataBlock.Type _blockType; + private final DataSchema.ColumnDataType[] _columnDataType; + + private int[] _columnOffsets; + private int _rowSizeInBytes; + private int[] _cumulativeColumnOffsetSizeInBytes; + private int[] _columnSizeInBytes; + + private int _numRows; + private int _numColumns; + + private final Map<String, Map<String, Integer>> _dictionaryMap = new HashMap<>(); + private final Map<String, Map<Integer, String>> _reverseDictionaryMap = new HashMap<>(); + private final ByteArrayOutputStream _fixedSizeDataByteArrayOutputStream = new ByteArrayOutputStream(); + private final ByteArrayOutputStream _variableSizeDataByteArrayOutputStream = new ByteArrayOutputStream(); + private final DataOutputStream _variableSizeDataOutputStream = + new DataOutputStream(_variableSizeDataByteArrayOutputStream); + + + private ByteBuffer _currentRowDataByteBuffer; + + private DataBlockBuilder(DataSchema dataSchema, BaseDataBlock.Type blockType) { + _dataSchema = dataSchema; + _columnDataType = dataSchema.getStoredColumnDataTypes(); + _blockType = blockType; + _numColumns = dataSchema.size(); + if (_blockType == BaseDataBlock.Type.COLUMNAR) { + _cumulativeColumnOffsetSizeInBytes = new int[_numColumns]; + _columnSizeInBytes = new int[_numColumns]; + DataBlockUtils.computeColumnSizeInBytes(_dataSchema, _columnSizeInBytes); + int cumulativeColumnOffset = 0; + for (int i = 0; i < _numColumns; i++) { + _cumulativeColumnOffsetSizeInBytes[i] = cumulativeColumnOffset; + cumulativeColumnOffset += _columnSizeInBytes[i] * _numRows; + } + } else if (_blockType == BaseDataBlock.Type.ROW) { + _columnOffsets = new int[_numColumns]; + _rowSizeInBytes = DataTableUtils.computeColumnOffsets(dataSchema, _columnOffsets); + } + } + + public static RowDataBlock buildFromRows(List<Object[]> rows, DataSchema dataSchema) + throws IOException { + DataBlockBuilder rowBuilder = new DataBlockBuilder(dataSchema, BaseDataBlock.Type.ROW); + rowBuilder._numRows = rows.size(); + for (Object[] row : rows) { + ByteBuffer byteBuffer = ByteBuffer.allocate(rowBuilder._rowSizeInBytes); + for (int i = 0; i < rowBuilder._numColumns; i++) { + Object value = row[i]; + switch (rowBuilder._columnDataType[i]) { + // Single-value column + case INT: + byteBuffer.putInt(((Number) value).intValue()); + break; + case LONG: + byteBuffer.putLong(((Number) value).longValue()); + break; + case FLOAT: + byteBuffer.putFloat(((Number) value).floatValue()); + break; + case DOUBLE: + byteBuffer.putDouble(((Number) value).doubleValue()); + break; + case BIG_DECIMAL: + setColumn(rowBuilder, byteBuffer, (BigDecimal) value); + break; + case STRING: + setColumn(rowBuilder, byteBuffer, i, (String) value); + break; + case BYTES: + setColumn(rowBuilder, byteBuffer, (ByteArray) value); + break; + case OBJECT: + setColumn(rowBuilder, byteBuffer, value); + break; + // Multi-value column + case BOOLEAN_ARRAY: + case INT_ARRAY: + setColumn(rowBuilder, byteBuffer, (int[]) value); + break; + case TIMESTAMP_ARRAY: + case LONG_ARRAY: + // LONG_ARRAY type covers INT_ARRAY and LONG_ARRAY + if (value instanceof int[]) { + int[] ints = (int[]) value; + int length = ints.length; + long[] longs = new long[length]; + ArrayCopyUtils.copy(ints, longs, length); + setColumn(rowBuilder, byteBuffer, longs); + } else { + setColumn(rowBuilder, byteBuffer, (long[]) value); + } + break; + case FLOAT_ARRAY: + setColumn(rowBuilder, byteBuffer, (float[]) value); + break; + case DOUBLE_ARRAY: + // DOUBLE_ARRAY type covers INT_ARRAY, LONG_ARRAY, FLOAT_ARRAY and DOUBLE_ARRAY + if (value instanceof int[]) { + int[] ints = (int[]) value; + int length = ints.length; + double[] doubles = new double[length]; + ArrayCopyUtils.copy(ints, doubles, length); + setColumn(rowBuilder, byteBuffer, doubles); + } else if (value instanceof long[]) { + long[] longs = (long[]) value; + int length = longs.length; + double[] doubles = new double[length]; + ArrayCopyUtils.copy(longs, doubles, length); + setColumn(rowBuilder, byteBuffer, doubles); + } else if (value instanceof float[]) { + float[] floats = (float[]) value; + int length = floats.length; + double[] doubles = new double[length]; + ArrayCopyUtils.copy(floats, doubles, length); + setColumn(rowBuilder, byteBuffer, doubles); + } else { + setColumn(rowBuilder, byteBuffer, (double[]) value); + } + break; + case BYTES_ARRAY: + case STRING_ARRAY: + setColumn(rowBuilder, byteBuffer, i, (String[]) value); + break; + default: + throw new IllegalStateException(String.format( + "Unsupported data type: %s for column: %s", rowBuilder._columnDataType[i], + rowBuilder._dataSchema.getColumnName(i))); + } + } + rowBuilder._fixedSizeDataByteArrayOutputStream.write(byteBuffer.array(), 0, byteBuffer.position()); + } + return buildRowBlock(rowBuilder); + } + + public static ColumnarDataBlock buildFromColumns(List<Object[]> columns, DataSchema dataSchema) + throws IOException { + DataBlockBuilder columnarBuilder = new DataBlockBuilder(dataSchema, BaseDataBlock.Type.COLUMNAR); + for (int i = 0; i < columns.size(); i++) { + Object[] column = columns.get(i); + columnarBuilder._numRows = column.length; + ByteBuffer byteBuffer = ByteBuffer.allocate(columnarBuilder._numRows * columnarBuilder._columnSizeInBytes[i]); Review Comment: Curious why are we allocating this on heap ? -- This is an automated message from the Apache Git Service. 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