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/**
* Copyright 2012 Twitter, Inc.
*
* Licensed 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 parquet.hadoop;
import static java.lang.Math.max;
import static java.lang.Math.min;
import static java.lang.String.format;
import static parquet.Log.DEBUG;
import static parquet.Preconditions.checkNotNull;
import java.io.IOException;
import java.util.Map;
import parquet.Log;
import parquet.column.ParquetProperties.WriterVersion;
import parquet.column.impl.ColumnWriteStoreImpl;
import parquet.hadoop.CodecFactory.BytesCompressor;
import parquet.hadoop.api.WriteSupport;
import parquet.io.ColumnIOFactory;
import parquet.io.MessageColumnIO;
import parquet.schema.MessageType;
class InternalParquetRecordWriter {
private static final Log LOG = Log.getLog(InternalParquetRecordWriter.class);
private static final int MINIMUM_BUFFER_SIZE = 64 * 1024;
private static final int MINIMUM_RECORD_COUNT_FOR_CHECK = 100;
private static final int MAXIMUM_RECORD_COUNT_FOR_CHECK = 10000;
private final ParquetFileWriter w;
private final WriteSupport writeSupport;
private final MessageType schema;
private final Map extraMetaData;
private final int blockSize;
private final int pageSize;
private final BytesCompressor compressor;
private final int dictionaryPageSize;
private final boolean enableDictionary;
private final boolean validating;
private final WriterVersion writerVersion;
private long recordCount = 0;
private long recordCountForNextMemCheck = MINIMUM_RECORD_COUNT_FOR_CHECK;
private ColumnWriteStoreImpl store;
private ColumnChunkPageWriteStore pageStore;
/**
* @param w the file to write to
* @param writeSupport the class to convert incoming records
* @param schema the schema of the records
* @param extraMetaData extra meta data to write in the footer of the file
* @param blockSize the size of a block in the file (this will be approximate)
* @param codec the codec used to compress
*/
public InternalParquetRecordWriter(
ParquetFileWriter w,
WriteSupport writeSupport,
MessageType schema,
Map extraMetaData,
int blockSize,
int pageSize,
BytesCompressor compressor,
int dictionaryPageSize,
boolean enableDictionary,
boolean validating,
WriterVersion writerVersion) {
this.w = w;
this.writeSupport = checkNotNull(writeSupport, "writeSupport");
this.schema = schema;
this.extraMetaData = extraMetaData;
this.blockSize = blockSize;
this.pageSize = pageSize;
this.compressor = compressor;
this.dictionaryPageSize = dictionaryPageSize;
this.enableDictionary = enableDictionary;
this.validating = validating;
this.writerVersion = writerVersion;
initStore();
}
private void initStore() {
// we don't want this number to be too small
// ideally we divide the block equally across the columns
// it is unlikely all columns are going to be the same size.
int initialBlockBufferSize = max(MINIMUM_BUFFER_SIZE, blockSize / schema.getColumns().size() / 5);
pageStore = new ColumnChunkPageWriteStore(compressor, schema, initialBlockBufferSize);
// we don't want this number to be too small either
// ideally, slightly bigger than the page size, but not bigger than the block buffer
int initialPageBufferSize = max(MINIMUM_BUFFER_SIZE, min(pageSize + pageSize / 10, initialBlockBufferSize));
store = new ColumnWriteStoreImpl(pageStore, pageSize, initialPageBufferSize, dictionaryPageSize, enableDictionary, writerVersion);
MessageColumnIO columnIO = new ColumnIOFactory(validating).getColumnIO(schema);
writeSupport.prepareForWrite(columnIO.getRecordWriter(store));
}
public void close() throws IOException, InterruptedException {
flushStore();
w.end(extraMetaData);
}
public void write(T value) throws IOException, InterruptedException {
writeSupport.write(value);
++ recordCount;
checkBlockSizeReached();
}
private void checkBlockSizeReached() throws IOException {
if (recordCount >= recordCountForNextMemCheck) { // checking the memory size is relatively expensive, so let's not do it for every record.
long memSize = store.memSize();
if (memSize > blockSize) {
LOG.info(format("mem size %,d > %,d: flushing %,d records to disk.", memSize, blockSize, recordCount));
flushStore();
initStore();
recordCountForNextMemCheck = min(max(MINIMUM_RECORD_COUNT_FOR_CHECK, recordCount / 2), MAXIMUM_RECORD_COUNT_FOR_CHECK);
} else {
float recordSize = (float) memSize / recordCount;
recordCountForNextMemCheck = min(
max(MINIMUM_RECORD_COUNT_FOR_CHECK, (recordCount + (long)(blockSize / recordSize)) / 2), // will check halfway
recordCount + MAXIMUM_RECORD_COUNT_FOR_CHECK // will not look more than max records ahead
);
if (DEBUG) LOG.debug(format("Checked mem at %,d will check again at: %,d ", recordCount, recordCountForNextMemCheck));
}
}
}
private void flushStore()
throws IOException {
LOG.info(format("Flushing mem store to file. allocated memory: %,d", store.allocatedSize()));
if (store.allocatedSize() > 3 * blockSize) {
LOG.warn("Too much memory used: " + store.memUsageString());
}
w.startBlock(recordCount);
store.flush();
pageStore.flushToFileWriter(w);
recordCount = 0;
w.endBlock();
store = null;
pageStore = null;
}
}
