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Posted to issues@parquet.apache.org by "devdanylo (via GitHub)" <gi...@apache.org> on 2025/02/08 11:14:39 UTC

[I] Reading fails when using DirectCodecFactory [parquet-java]

devdanylo opened a new issue, #3150:
URL: https://github.com/apache/parquet-java/issues/3150

   ### Describe the bug, including details regarding any error messages, version, and platform.
   
   Hello folks,
   
   I'm currently working on removing the `hadoop-common` dependency from the runtime in one of my projects.
   
   As part of this process, I need to replace the "Hadoop" codec factory, which relies on certain classes from `hadoop-common`, with a codec factory that exclusively uses classes from `parquet-hadoop`. One potential option is `DirectCodecFactory`, but it comes with a problem.
   
   For demonstration purposes, I’m using a simple key-value Snappy-compressed parquet file containing 51,000 records. Here’s a sample of the data:
   <img width="308" alt="Image" src="https://github.com/user-attachments/assets/bbe7f94c-9904-4bbb-a157-a7d82e9af54f" />
   
   When attempting to read this file using `DirectCodecFactory`, I encounter two issues:
   1. The file fails to read completely. Near the end, it throws an error: `Can't read value in column [key] optional binary key (STRING) = 0 at value 49,534 out of 51,000, 9,534 out of 11,000 in currentPage. Repetition level: 0, definition level: 1.`
   2. At record number 40,001, the key and value columns get mixed up, with the key column unexpectedly containing a value.
   
   **Note that with the Hadoop codec factory the file can be read without any issues.** Here are tests demonstrating that:
   ```java
   package sandbox.parquet.reader;
   
   import org.apache.hadoop.conf.Configuration;
   import org.apache.parquet.bytes.DirectByteBufferAllocator;
   import org.apache.parquet.column.ParquetProperties;
   import org.apache.parquet.conf.ParquetConfiguration;
   import org.apache.parquet.conf.PlainParquetConfiguration;
   import org.apache.parquet.hadoop.CodecFactory;
   import org.apache.parquet.hadoop.ParquetReader;
   import org.apache.parquet.hadoop.api.InitContext;
   import org.apache.parquet.hadoop.api.ReadSupport;
   import org.apache.parquet.io.InputFile;
   import org.apache.parquet.io.LocalInputFile;
   import org.apache.parquet.io.api.Binary;
   import org.apache.parquet.io.api.Converter;
   import org.apache.parquet.io.api.GroupConverter;
   import org.apache.parquet.io.api.PrimitiveConverter;
   import org.apache.parquet.io.api.RecordMaterializer;
   import org.apache.parquet.schema.GroupType;
   import org.apache.parquet.schema.MessageType;
   import org.apache.parquet.schema.Type;
   import org.junit.jupiter.api.Assertions;
   import org.junit.jupiter.api.Test;
   
   import java.nio.file.Path;
   import java.nio.file.Paths;
   import java.util.Map;
   
   public class ParquetReaderTest {
   
       @Test
       void readParquetFileAndVerifyRecordCount_usingDirectCodeFactory() throws Exception {
           Path filePath = Paths.get(ClassLoader.getSystemResource("test.parquet").toURI());
           int recordCount = 0;
           try(ParquetReader<String[]> parquetReader = createReaderWithDirectCodeFactory(filePath)) {
               while (parquetReader.read() != null) {
                   recordCount++;
               }
           }
   
           Assertions.assertEquals(51_000, recordCount);
       }
   
       @Test
       void readParquetFileAndVerifyContent_usingDirectCodeFactory() throws Exception {
           Path filePath = Paths.get(ClassLoader.getSystemResource("test.parquet").toURI());
           int recordCount = 0;
           try(ParquetReader<String[]> parquetReader = createReaderWithHadoopCodeFactory(filePath)) {
               String[] record;
               while ((record = parquetReader.read()) != null) {
                   Assertions.assertEquals("key_" + (recordCount + 1), record[0]);
                   Assertions.assertEquals("value_" + (recordCount + 1), record[1]);
                   recordCount++;
               }
           }
   
           Assertions.assertEquals(51_000, recordCount);
       }
   
       @Test
       void readParquetFileAndVerifyRecordCount_usingHadoopCodeFactory() throws Exception {
           Path filePath = Paths.get(ClassLoader.getSystemResource("test.parquet").toURI());
           int recordCount = 0;
           try(ParquetReader<String[]> parquetReader = createReaderWithHadoopCodeFactory(filePath)) {
               while (parquetReader.read() != null) {
                   recordCount++;
               }
           }
   
           Assertions.assertEquals(51_000, recordCount);
       }
   
       @Test
       void readParquetFileAndVerifyContent_usingHadoopCodeFactory() throws Exception {
           Path filePath = Paths.get(ClassLoader.getSystemResource("test.parquet").toURI());
           int recordCount = 0;
           try(ParquetReader<String[]> parquetReader = createReaderWithDirectCodeFactory(filePath)) {
               String[] record;
               while ((record = parquetReader.read()) != null) {
                   Assertions.assertEquals("key_" + (recordCount + 1), record[0]);
                   Assertions.assertEquals("value_" + (recordCount + 1), record[1]);
                   recordCount++;
               }
           }
   
           Assertions.assertEquals(51_000, recordCount);
       }
   
       private ParquetReader<String[]> createReaderWithDirectCodeFactory(Path file) throws Exception {
           return new ParquetReaderBuilder(new LocalInputFile(file), new PlainParquetConfiguration())
                   .withCodecFactory(CodecFactory.createDirectCodecFactory(null,
                           DirectByteBufferAllocator.getInstance(),
                           ParquetProperties.DEFAULT_PAGE_SIZE))
                   .build();
       }
   
       private ParquetReader<String[]> createReaderWithHadoopCodeFactory(Path file) throws Exception {
           // the Hadoop codec factory is created in ParquetReadOptions.Builder#build
           return new ParquetReaderBuilder(new LocalInputFile(file), new PlainParquetConfiguration())
                   .build();
       }
   
   
       static class ParquetReaderBuilder extends ParquetReader.Builder<String[]> {
   
           ParquetReaderBuilder(InputFile file, ParquetConfiguration conf) {
               super(file, conf);
           }
   
           @Override
           protected ReadSupport<String[]> getReadSupport() {
               return new TestReadSupport();
           }
       }
   
       static class TestReadSupport extends ReadSupport<String[]> {
   
   
           @Override
           public ReadContext init(InitContext context) {
               return new ReadContext(context.getFileSchema());
           }
   
           @Override
           public RecordMaterializer<String[]> prepareForRead(Configuration configuration,
                                                              Map<String, String> keyValueMetaData,
                                                              MessageType fileSchema,
                                                              ReadContext readContext) {
               return new TestRecordMaterializer(fileSchema);
           }
   
           @Override
           public RecordMaterializer<String[]> prepareForRead(ParquetConfiguration configuration,
                                                              Map<String, String> keyValueMetaData,
                                                              MessageType fileSchema,
                                                              ReadContext readContext) {
               return new TestRecordMaterializer(fileSchema);
           }
       }
   
       static class TestRecordMaterializer extends RecordMaterializer<String[]> {
   
           private final TestRootGroupConverter root;
   
           TestRecordMaterializer(MessageType schema) {
               this.root = new TestRootGroupConverter(schema);
           }
   
           @Override
           public String[] getCurrentRecord() {
               return root.getCurrentRecord();
           }
   
           @Override
           public GroupConverter getRootConverter() {
               return root;
           }
       }
   
       static class TestRootGroupConverter extends GroupConverter {
           private String[] currentRecord;
           private final Converter[] converters;
   
           TestRootGroupConverter(GroupType schema) {
               converters = new Converter[schema.getFieldCount()];
   
               for (int i = 0; i < converters.length; i++) {
                   final Type type = schema.getType(i);
                   if (type.isPrimitive()) {
                       converters[i] = new TestPrimitiveConverter(this, i);
                   } else {
                       throw new RuntimeException("Nested records not supported!");
                   }
               }
           }
   
           @Override
           public Converter getConverter(int fieldIndex) {
               return converters[fieldIndex];
           }
   
           @Override
           public void start() {
               currentRecord = new String[converters.length];
           }
   
           @Override
           public void end() {
           }
   
           String[] getCurrentRecord() {
               return currentRecord;
           }
       }
   
       static class TestPrimitiveConverter extends PrimitiveConverter {
   
           private final TestRootGroupConverter parent;
           private final int index;
   
           TestPrimitiveConverter(TestRootGroupConverter parent, int index) {
               this.parent = parent;
               this.index = index;
           }
   
           @Override
           public void addBinary(Binary value) {
               parent.getCurrentRecord()[index] = value.toStringUsingUTF8();
           }
   
           @Override
           public void addBoolean(boolean value) {
               throw new UnsupportedOperationException();
           }
   
           @Override
           public void addDouble(double value) {
               throw new UnsupportedOperationException();
           }
   
           @Override
           public void addFloat(float value) {
               throw new UnsupportedOperationException();
           }
   
           @Override
           public void addInt(int value) {
               throw new UnsupportedOperationException();
           }
   
           @Override
           public void addLong(long value) {
               throw new UnsupportedOperationException();
           }
       }
   }
   ```
   
   Attaching the parquet file and a demo application:
   * [test.parquet.zip](https://github.com/user-attachments/files/18718126/test.parquet.zip)
   * [parquet-reader.zip](https://github.com/user-attachments/files/18718132/parquet-reader.zip)
   
   ### Component(s)
   
   Core


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Re: [I] Reading fails when using DirectCodecFactory [parquet-java]

Posted by "wgtmac (via GitHub) via issues" <is...@parquet.apache.org>.
wgtmac closed issue #3150: Reading fails when using DirectCodecFactory
URL: https://github.com/apache/parquet-java/issues/3150


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