use of org.apache.parquet.hadoop.metadata.ParquetMetadata in project parquet-mr by apache.
the class ParquetMetadataConverter method fromParquetMetadata.
public ParquetMetadata fromParquetMetadata(FileMetaData parquetMetadata) throws IOException {
MessageType messageType = fromParquetSchema(parquetMetadata.getSchema(), parquetMetadata.getColumn_orders());
List<BlockMetaData> blocks = new ArrayList<BlockMetaData>();
List<RowGroup> row_groups = parquetMetadata.getRow_groups();
if (row_groups != null) {
for (RowGroup rowGroup : row_groups) {
BlockMetaData blockMetaData = new BlockMetaData();
blockMetaData.setRowCount(rowGroup.getNum_rows());
blockMetaData.setTotalByteSize(rowGroup.getTotal_byte_size());
List<ColumnChunk> columns = rowGroup.getColumns();
String filePath = columns.get(0).getFile_path();
for (ColumnChunk columnChunk : columns) {
if ((filePath == null && columnChunk.getFile_path() != null) || (filePath != null && !filePath.equals(columnChunk.getFile_path()))) {
throw new ParquetDecodingException("all column chunks of the same row group must be in the same file for now");
}
ColumnMetaData metaData = columnChunk.meta_data;
ColumnPath path = getPath(metaData);
ColumnChunkMetaData column = ColumnChunkMetaData.get(path, messageType.getType(path.toArray()).asPrimitiveType(), fromFormatCodec(metaData.codec), convertEncodingStats(metaData.getEncoding_stats()), fromFormatEncodings(metaData.encodings), fromParquetStatistics(parquetMetadata.getCreated_by(), metaData.statistics, messageType.getType(path.toArray()).asPrimitiveType()), metaData.data_page_offset, metaData.dictionary_page_offset, metaData.num_values, metaData.total_compressed_size, metaData.total_uncompressed_size);
// TODO
// index_page_offset
// key_value_metadata
blockMetaData.addColumn(column);
}
blockMetaData.setPath(filePath);
blocks.add(blockMetaData);
}
}
Map<String, String> keyValueMetaData = new HashMap<String, String>();
List<KeyValue> key_value_metadata = parquetMetadata.getKey_value_metadata();
if (key_value_metadata != null) {
for (KeyValue keyValue : key_value_metadata) {
keyValueMetaData.put(keyValue.key, keyValue.value);
}
}
return new ParquetMetadata(new org.apache.parquet.hadoop.metadata.FileMetaData(messageType, keyValueMetaData, parquetMetadata.getCreated_by()), blocks);
}
use of org.apache.parquet.hadoop.metadata.ParquetMetadata in project parquet-mr by apache.
the class ParquetFileReader method footersFromSummaryFile.
static List<Footer> footersFromSummaryFile(final Path parent, ParquetMetadata mergedFooters) {
Map<Path, ParquetMetadata> footers = new HashMap<Path, ParquetMetadata>();
List<BlockMetaData> blocks = mergedFooters.getBlocks();
for (BlockMetaData block : blocks) {
String path = block.getPath();
Path fullPath = new Path(parent, path);
ParquetMetadata current = footers.get(fullPath);
if (current == null) {
current = new ParquetMetadata(mergedFooters.getFileMetaData(), new ArrayList<BlockMetaData>());
footers.put(fullPath, current);
}
current.getBlocks().add(block);
}
List<Footer> result = new ArrayList<Footer>();
for (Entry<Path, ParquetMetadata> entry : footers.entrySet()) {
result.add(new Footer(entry.getKey(), entry.getValue()));
}
return result;
}
use of org.apache.parquet.hadoop.metadata.ParquetMetadata in project parquet-mr by apache.
the class ParquetFileWriter method mergeFooters.
static ParquetMetadata mergeFooters(Path root, List<Footer> footers) {
String rootPath = root.toUri().getPath();
GlobalMetaData fileMetaData = null;
List<BlockMetaData> blocks = new ArrayList<BlockMetaData>();
for (Footer footer : footers) {
String footerPath = footer.getFile().toUri().getPath();
if (!footerPath.startsWith(rootPath)) {
throw new ParquetEncodingException(footerPath + " invalid: all the files must be contained in the root " + root);
}
footerPath = footerPath.substring(rootPath.length());
while (footerPath.startsWith("/")) {
footerPath = footerPath.substring(1);
}
fileMetaData = mergeInto(footer.getParquetMetadata().getFileMetaData(), fileMetaData);
for (BlockMetaData block : footer.getParquetMetadata().getBlocks()) {
block.setPath(footerPath);
blocks.add(block);
}
}
return new ParquetMetadata(fileMetaData.merge(), blocks);
}
use of org.apache.parquet.hadoop.metadata.ParquetMetadata 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));
}
}
}
}
}
}
use of org.apache.parquet.hadoop.metadata.ParquetMetadata in project parquet-mr by apache.
the class TestParquetWriterAppendBlocks method testAllowDroppingColumns.
@Test
public void testAllowDroppingColumns() throws IOException {
MessageType droppedColumnSchema = Types.buildMessage().required(BINARY).as(UTF8).named("string").named("AppendTest");
Path droppedColumnFile = newTemp();
ParquetFileWriter writer = new ParquetFileWriter(CONF, droppedColumnSchema, droppedColumnFile);
writer.start();
writer.appendFile(CONF, file1);
writer.appendFile(CONF, file2);
writer.end(EMPTY_METADATA);
LinkedList<Group> expected = new LinkedList<Group>();
expected.addAll(file1content);
expected.addAll(file2content);
ParquetMetadata footer = ParquetFileReader.readFooter(CONF, droppedColumnFile, NO_FILTER);
for (BlockMetaData rowGroup : footer.getBlocks()) {
Assert.assertEquals("Should have only the string column", 1, rowGroup.getColumns().size());
}
ParquetReader<Group> reader = ParquetReader.builder(new GroupReadSupport(), droppedColumnFile).build();
Group next;
while ((next = reader.read()) != null) {
Group expectedNext = expected.removeFirst();
Assert.assertEquals("Each string should match", expectedNext.getString("string", 0), next.getString("string", 0));
}
Assert.assertEquals("All records should be present", 0, expected.size());
}
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