wgtmac commented on code in PR #1142: URL: https://github.com/apache/parquet-mr/pull/1142#discussion_r1349815502
########## parquet-hadoop/src/test/java/org/apache/parquet/statistics/TestFloat16Statistics.java: ########## @@ -0,0 +1,157 @@ +/* + * 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.parquet.statistics; + +import org.apache.parquet.Preconditions; +import org.apache.parquet.example.data.Group; +import org.apache.parquet.example.data.GroupFactory; +import org.apache.parquet.example.data.simple.SimpleGroupFactory; +import org.apache.parquet.hadoop.ParquetFileReader; +import org.apache.parquet.hadoop.ParquetWriter; +import org.apache.parquet.internal.column.columnindex.ColumnIndex; +import org.apache.parquet.io.api.Binary; +import org.apache.parquet.schema.MessageType; +import org.apache.parquet.schema.Types; +import org.apache.parquet.type.Float16; +import org.junit.Rule; +import org.junit.Test; +import org.junit.rules.TemporaryFolder; + +import java.io.File; +import java.io.IOException; +import java.nio.ByteBuffer; +import java.util.Collections; +import java.util.List; +import java.util.stream.Collectors; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.fs.Path; +import org.apache.parquet.column.statistics.Statistics; +import org.apache.parquet.hadoop.example.ExampleParquetWriter; +import org.apache.parquet.hadoop.example.GroupWriteSupport; +import org.apache.parquet.hadoop.metadata.ColumnChunkMetaData; +import org.apache.parquet.hadoop.util.HadoopInputFile; + +import static org.apache.parquet.schema.LogicalTypeAnnotation.float16Type; +import static org.apache.parquet.schema.PrimitiveType.PrimitiveTypeName.FIXED_LEN_BYTE_ARRAY; +import static org.junit.Assert.assertEquals; + +public class TestFloat16Statistics { + + @Rule + public TemporaryFolder temp = new TemporaryFolder(); + + private short[] valuesInAscendingOrder = { + (short) 0xfc00, // -Infinity + (short) 0xc000, // -2.0 + -Float16.MAX_VALUE, // -6.109476E-5 + Float16.NEGATIVE_ZERO, // -0 + Float16.POSITIVE_ZERO, // +0 + Float16.MIN_VALUE, // 5.9604645E-8 + Float16.MAX_VALUE, // 65504.0 + (short) 0x7c00}; // Infinity + + @Test + public void testFloat16ColumnIndex() throws IOException + { + MessageType schema = Types.buildMessage(). + required(FIXED_LEN_BYTE_ARRAY).as(float16Type()).length(2).named("col_float16").named("msg"); + + Configuration conf = new Configuration(); + GroupWriteSupport.setSchema(schema, conf); + + GroupFactory factory = new SimpleGroupFactory(schema); + Path path = newTempPath(); + try (ParquetWriter<Group> writer = ExampleParquetWriter.builder(path) + .withConf(conf) + .withDictionaryEncoding(false) + .build()) { + + for (short value : valuesInAscendingOrder) { + writer.write(factory.newGroup().append("col_float16", Binary.fromConstantByteArray(Float16.toBytesLittleEndian(value)))); + } + } + + try (ParquetFileReader reader = ParquetFileReader.open(HadoopInputFile.fromPath(path, new Configuration()))) { + + ColumnChunkMetaData column = reader.getFooter().getBlocks().get(0).getColumns().get(0); + ColumnIndex index = reader.readColumnIndex(column); + assertEquals(Collections.singletonList((short) 0xfc00), toFloat16List(index.getMinValues())); Review Comment: We also need to test these cases: - NaN values are present. - All values are +0 or -0. - Values are in ascending/descending/undefined order. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: dev-unsubscr...@parquet.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org