Examples with GroupWriteSupport org.apache.parquet.hadoop.example.GroupWriteSupport used on opensource projects

Example 1 with GroupWriteSupport

use of org.apache.parquet.hadoop.example.GroupWriteSupport in project h2o-3 by h2oai.

the class ParquetFileGenerator method generateParquetFile.

static File generateParquetFile(File parentDir, String filename, int nrows, Date date) throws IOException {
    File f = new File(parentDir, filename);
    Configuration conf = new Configuration();
    MessageType schema = parseMessageType("message test { " + "required int32 int32_field; " + "required int64 int64_field; " + "required float float_field; " + "required double double_field; " + "required int64 timestamp_field (TIMESTAMP_MILLIS);" + "} ");
    GroupWriteSupport.setSchema(schema, conf);
    SimpleGroupFactory fact = new SimpleGroupFactory(schema);
    ParquetWriter<Group> writer = new ParquetWriter<Group>(new Path(f.getPath()), new GroupWriteSupport(), UNCOMPRESSED, 1024, 1024, 512, true, false, ParquetProperties.WriterVersion.PARQUET_2_0, conf);
    try {
        for (int i = 0; i < nrows; i++) {
            writer.write(fact.newGroup().append("int32_field", 32 + i).append("int64_field", 64L + i).append("float_field", 1.0f + i).append("double_field", 2.0d + i).append("timestamp_field", date.getTime() + (i * 117)));
        }
    } finally {
        writer.close();
    }
    return f;
}

Example 2 with GroupWriteSupport

use of org.apache.parquet.hadoop.example.GroupWriteSupport in project h2o-3 by h2oai.

the class ParquetFileGenerator method generateSparseParquetFile.

static File generateSparseParquetFile(File parentDir, String filename, int nrows) throws IOException {
    File f = new File(parentDir, filename);
    Configuration conf = new Configuration();
    MessageType schema = parseMessageType("message test { optional int32 int32_field; optional binary string_field (UTF8); required int32 row; optional int32 int32_field2; } ");
    GroupWriteSupport.setSchema(schema, conf);
    SimpleGroupFactory fact = new SimpleGroupFactory(schema);
    ParquetWriter<Group> writer = new ParquetWriter<Group>(new Path(f.getPath()), new GroupWriteSupport(), UNCOMPRESSED, 1024, 1024, 512, true, false, ParquetProperties.WriterVersion.PARQUET_2_0, conf);
    try {
        for (int i = 0; i < nrows; i++) {
            Group g = fact.newGroup();
            if (i % 10 == 0) {
                g = g.append("int32_field", i);
            }
            if (i % 10 == 0) {
                g = g.append("string_field", "CAT_" + (i % 10));
            }
            if (i % 10 == 0) {
                g = g.append("int32_field2", i);
            }
            writer.write(g.append("row", i));
        }
    } finally {
        writer.close();
    }
    return f;
}

Example 3 with GroupWriteSupport

use of org.apache.parquet.hadoop.example.GroupWriteSupport in project drill by axbaretto.

the class ParquetSimpleTestFileGenerator method initWriter.

public static ParquetWriter<Group> initWriter(MessageType schema, String fileName) throws IOException {
    GroupWriteSupport.setSchema(schema, conf);
    ParquetWriter<Group> writer = new ParquetWriter<Group>(initFile(fileName), ParquetFileWriter.Mode.OVERWRITE, new GroupWriteSupport(), CompressionCodecName.SNAPPY, 1024, 1024, 512, // enable dictionary encoding,
    true, false, ParquetProperties.WriterVersion.PARQUET_1_0, conf);
    return writer;
}

Example 4 with GroupWriteSupport

use of org.apache.parquet.hadoop.example.GroupWriteSupport in project parquet-mr by apache.

the class TestParquetWriterNewPage method test.

@Test
public void test() throws Exception {
    Configuration conf = new Configuration();
    Path root = new Path("target/tests/TestParquetWriter/");
    FileSystem fs = root.getFileSystem(conf);
    if (fs.exists(root)) {
        fs.delete(root, true);
    }
    fs.mkdirs(root);
    MessageType schema = parseMessageType("message test { " + "required binary binary_field; " + "required int32 int32_field; " + "required int64 int64_field; " + "required boolean boolean_field; " + "required float float_field; " + "required double double_field; " + "required fixed_len_byte_array(3) flba_field; " + "required int96 int96_field; " + "optional binary null_field; " + "} ");
    GroupWriteSupport.setSchema(schema, conf);
    SimpleGroupFactory f = new SimpleGroupFactory(schema);
    Map<String, Encoding> expected = new HashMap<String, Encoding>();
    expected.put("10-" + PARQUET_1_0, PLAIN_DICTIONARY);
    expected.put("1000-" + PARQUET_1_0, PLAIN);
    expected.put("10-" + PARQUET_2_0, RLE_DICTIONARY);
    expected.put("1000-" + PARQUET_2_0, DELTA_BYTE_ARRAY);
    for (int modulo : asList(10, 1000)) {
        for (WriterVersion version : WriterVersion.values()) {
            Path file = new Path(root, version.name() + "_" + modulo);
            ParquetWriter<Group> writer = new ParquetWriter<Group>(file, new GroupWriteSupport(), UNCOMPRESSED, 1024, 1024, 512, true, false, version, conf);
            for (int i = 0; i < 1000; i++) {
                writer.write(f.newGroup().append("binary_field", "test" + (i % modulo)).append("int32_field", 32).append("int64_field", 64l).append("boolean_field", true).append("float_field", 1.0f).append("double_field", 2.0d).append("flba_field", "foo").append("int96_field", Binary.fromConstantByteArray(new byte[12])));
            }
            writer.close();
            ParquetReader<Group> reader = ParquetReader.builder(new GroupReadSupport(), file).withConf(conf).build();
            for (int i = 0; i < 1000; i++) {
                Group group = reader.read();
                assertEquals("test" + (i % modulo), group.getBinary("binary_field", 0).toStringUsingUTF8());
                assertEquals(32, group.getInteger("int32_field", 0));
                assertEquals(64l, group.getLong("int64_field", 0));
                assertEquals(true, group.getBoolean("boolean_field", 0));
                assertEquals(1.0f, group.getFloat("float_field", 0), 0.001);
                assertEquals(2.0d, group.getDouble("double_field", 0), 0.001);
                assertEquals("foo", group.getBinary("flba_field", 0).toStringUsingUTF8());
                assertEquals(Binary.fromConstantByteArray(new byte[12]), group.getInt96("int96_field", 0));
                assertEquals(0, group.getFieldRepetitionCount("null_field"));
            }
            reader.close();
            ParquetMetadata footer = readFooter(conf, file, NO_FILTER);
            for (BlockMetaData blockMetaData : footer.getBlocks()) {
                for (ColumnChunkMetaData column : blockMetaData.getColumns()) {
                    if (column.getPath().toDotString().equals("binary_field")) {
                        String key = modulo + "-" + version;
                        Encoding expectedEncoding = expected.get(key);
                        assertTrue(key + ":" + column.getEncodings() + " should contain " + expectedEncoding, column.getEncodings().contains(expectedEncoding));
                    }
                }
            }
        }
    }
}

Example 5 with GroupWriteSupport

use of org.apache.parquet.hadoop.example.GroupWriteSupport in project parquet-mr by apache.

the class DataGenerator method generateData.

public void generateData(Path outFile, Configuration configuration, ParquetProperties.WriterVersion version, int blockSize, int pageSize, int fixedLenByteArraySize, CompressionCodecName codec, int nRows) throws IOException {
    if (exists(configuration, outFile)) {
        System.out.println("File already exists " + outFile);
        return;
    }
    System.out.println("Generating data @ " + outFile);
    MessageType schema = parseMessageType("message test { " + "required binary binary_field; " + "required int32 int32_field; " + "required int64 int64_field; " + "required boolean boolean_field; " + "required float float_field; " + "required double double_field; " + "required fixed_len_byte_array(" + fixedLenByteArraySize + ") flba_field; " + "required int96 int96_field; " + "} ");
    GroupWriteSupport.setSchema(schema, configuration);
    SimpleGroupFactory f = new SimpleGroupFactory(schema);
    ParquetWriter<Group> writer = new ParquetWriter<Group>(outFile, new GroupWriteSupport(), codec, blockSize, pageSize, DICT_PAGE_SIZE, true, false, version, configuration);
    // generate some data for the fixed len byte array field
    char[] chars = new char[fixedLenByteArraySize];
    Arrays.fill(chars, '*');
    for (int i = 0; i < nRows; i++) {
        writer.write(f.newGroup().append("binary_field", randomUUID().toString()).append("int32_field", i).append("int64_field", 64l).append("boolean_field", true).append("float_field", 1.0f).append("double_field", 2.0d).append("flba_field", new String(chars)).append("int96_field", Binary.fromConstantByteArray(new byte[12])));
    }
    writer.close();
}