Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/*
* 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.hadoop;
import static java.lang.Boolean.TRUE;
import static org.apache.parquet.Preconditions.checkArgument;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.Comparator;
import java.util.HashMap;
import java.util.HashSet;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import org.apache.hadoop.conf.Configurable;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.BlockLocation;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.PathFilter;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.JobContext;
import org.apache.hadoop.mapreduce.RecordReader;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.FileSplit;
import org.apache.parquet.Preconditions;
import org.apache.parquet.filter.UnboundRecordFilter;
import org.apache.parquet.filter2.compat.FilterCompat;
import org.apache.parquet.filter2.compat.FilterCompat.Filter;
import org.apache.parquet.filter2.compat.RowGroupFilter;
import org.apache.parquet.filter2.predicate.FilterPredicate;
import org.apache.parquet.hadoop.api.InitContext;
import org.apache.parquet.hadoop.api.ReadSupport;
import org.apache.parquet.hadoop.api.ReadSupport.ReadContext;
import org.apache.parquet.hadoop.metadata.BlockMetaData;
import org.apache.parquet.hadoop.metadata.ColumnChunkMetaData;
import org.apache.parquet.hadoop.metadata.GlobalMetaData;
import org.apache.parquet.hadoop.metadata.ParquetMetadata;
import org.apache.parquet.hadoop.util.ConfigurationUtil;
import org.apache.parquet.hadoop.util.ContextUtil;
import org.apache.parquet.hadoop.util.HiddenFileFilter;
import org.apache.parquet.hadoop.util.SerializationUtil;
import org.apache.parquet.io.ParquetDecodingException;
import org.apache.parquet.schema.MessageType;
import org.apache.parquet.schema.MessageTypeParser;
import com.facebook.presto.hive.$internal.org.slf4j.Logger;
import com.facebook.presto.hive.$internal.org.slf4j.LoggerFactory;
/**
* The input format to read a Parquet file.
*
* It requires an implementation of {@link ReadSupport} to materialize the records.
*
* The requestedSchema will control how the original records get projected by the loader.
* It must be a subset of the original schema. Only the columns needed to reconstruct the records with the requestedSchema will be scanned.
*
* @see #READ_SUPPORT_CLASS
* @see #UNBOUND_RECORD_FILTER
* @see #STRICT_TYPE_CHECKING
* @see #FILTER_PREDICATE
* @see #TASK_SIDE_METADATA
*
* @param the type of the materialized records
*/
public class ParquetInputFormat extends FileInputFormat {
private static final Logger LOG = LoggerFactory.getLogger(ParquetInputFormat.class);
/**
* key to configure the ReadSupport implementation
*/
public static final String READ_SUPPORT_CLASS = "parquet.read.support.class";
/**
* key to configure the filter
*/
public static final String UNBOUND_RECORD_FILTER = "parquet.read.filter";
/**
* key to configure type checking for conflicting schemas (default: true)
*/
public static final String STRICT_TYPE_CHECKING = "parquet.strict.typing";
/**
* key to configure the filter predicate
*/
public static final String FILTER_PREDICATE = "parquet.private.read.filter.predicate";
/**
* key to configure whether record-level filtering is enabled
*/
public static final String RECORD_FILTERING_ENABLED = "parquet.filter.record-level.enabled";
/**
* key to configure whether row group stats filtering is enabled
*/
public static final String STATS_FILTERING_ENABLED = "parquet.filter.stats.enabled";
/**
* key to configure whether row group dictionary filtering is enabled
*/
public static final String DICTIONARY_FILTERING_ENABLED = "parquet.filter.dictionary.enabled";
/**
* key to configure whether column index filtering of pages is enabled
*/
public static final String COLUMN_INDEX_FILTERING_ENABLED = "parquet.filter.columnindex.enabled";
/**
* key to configure whether page level checksum verification is enabled
*/
public static final String PAGE_VERIFY_CHECKSUM_ENABLED = "parquet.page.verify-checksum.enabled";
/**
* key to configure whether row group bloom filtering is enabled
*/
public static final String BLOOM_FILTERING_ENABLED = "parquet.filter.bloom.enabled";
/**
* key to turn on or off task side metadata loading (default true)
* if true then metadata is read on the task side and some tasks may finish immediately.
* if false metadata is read on the client which is slower if there is a lot of metadata but tasks will only be spawn if there is work to do.
*/
public static final String TASK_SIDE_METADATA = "parquet.task.side.metadata";
/**
* key to turn off file splitting. See PARQUET-246.
*/
public static final String SPLIT_FILES = "parquet.split.files";
private static final int MIN_FOOTER_CACHE_SIZE = 100;
public static void setTaskSideMetaData(Job job, boolean taskSideMetadata) {
ContextUtil.getConfiguration(job).setBoolean(TASK_SIDE_METADATA, taskSideMetadata);
}
public static boolean isTaskSideMetaData(Configuration configuration) {
return configuration.getBoolean(TASK_SIDE_METADATA, TRUE);
}
public static void setReadSupportClass(Job job, Class> readSupportClass) {
ContextUtil.getConfiguration(job).set(READ_SUPPORT_CLASS, readSupportClass.getName());
}
public static void setUnboundRecordFilter(Job job, Class extends UnboundRecordFilter> filterClass) {
Configuration conf = ContextUtil.getConfiguration(job);
checkArgument(getFilterPredicate(conf) == null,
"You cannot provide an UnboundRecordFilter after providing a FilterPredicate");
conf.set(UNBOUND_RECORD_FILTER, filterClass.getName());
}
/**
* @param configuration a configuration
* @return an unbound record filter class
* @deprecated use {@link #getFilter(Configuration)}
*/
@Deprecated
public static Class> getUnboundRecordFilter(Configuration configuration) {
return ConfigurationUtil.getClassFromConfig(configuration, UNBOUND_RECORD_FILTER, UnboundRecordFilter.class);
}
private static UnboundRecordFilter getUnboundRecordFilterInstance(Configuration configuration) {
Class> clazz = ConfigurationUtil.getClassFromConfig(configuration, UNBOUND_RECORD_FILTER, UnboundRecordFilter.class);
if (clazz == null) { return null; }
try {
UnboundRecordFilter unboundRecordFilter = (UnboundRecordFilter) clazz.newInstance();
if (unboundRecordFilter instanceof Configurable) {
((Configurable)unboundRecordFilter).setConf(configuration);
}
return unboundRecordFilter;
} catch (InstantiationException | IllegalAccessException e) {
throw new BadConfigurationException(
"could not instantiate unbound record filter class", e);
}
}
public static void setReadSupportClass(JobConf conf, Class> readSupportClass) {
conf.set(READ_SUPPORT_CLASS, readSupportClass.getName());
}
public static Class> getReadSupportClass(Configuration configuration) {
return ConfigurationUtil.getClassFromConfig(configuration, READ_SUPPORT_CLASS, ReadSupport.class);
}
public static void setFilterPredicate(Configuration configuration, FilterPredicate filterPredicate) {
checkArgument(getUnboundRecordFilter(configuration) == null,
"You cannot provide a FilterPredicate after providing an UnboundRecordFilter");
configuration.set(FILTER_PREDICATE + ".human.readable", filterPredicate.toString());
try {
SerializationUtil.writeObjectToConfAsBase64(FILTER_PREDICATE, filterPredicate, configuration);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
private static FilterPredicate getFilterPredicate(Configuration configuration) {
try {
return SerializationUtil.readObjectFromConfAsBase64(FILTER_PREDICATE, configuration);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
/**
* Returns a non-null Filter, which is a wrapper around either a
* FilterPredicate, an UnboundRecordFilter, or a no-op filter.
*
* @param conf a configuration
* @return a filter for the unbound record filter specified in conf
*/
public static Filter getFilter(Configuration conf) {
return FilterCompat.get(getFilterPredicate(conf), getUnboundRecordFilterInstance(conf));
}
private LruCache footersCache;
private final Class extends ReadSupport> readSupportClass;
/**
* Hadoop will instantiate using this constructor
*/
public ParquetInputFormat() {
this.readSupportClass = null;
}
/**
* Constructor for subclasses, such as AvroParquetInputFormat, or wrappers.
*
* Subclasses and wrappers may use this constructor to set the ReadSupport
* class that will be used when reading instead of requiring the user to set
* the read support property in their configuration.
*
* @param readSupportClass a ReadSupport subclass
* @param the Java read support type
*/
public > ParquetInputFormat(Class readSupportClass) {
this.readSupportClass = readSupportClass;
}
/**
* {@inheritDoc}
*/
@Override
public RecordReader createRecordReader(
InputSplit inputSplit,
TaskAttemptContext taskAttemptContext) throws IOException, InterruptedException {
Configuration conf = ContextUtil.getConfiguration(taskAttemptContext);
ReadSupport readSupport = getReadSupport(conf);
return new ParquetRecordReader(readSupport, getFilter(conf));
}
/**
* @param configuration to find the configuration for the read support
* @return the configured read support
* @deprecated use getReadSupportInstance static methods instead
*/
@Deprecated
@SuppressWarnings("unchecked")
ReadSupport getReadSupport(Configuration configuration){
return getReadSupportInstance(readSupportClass == null ?
(Class extends ReadSupport>) getReadSupportClass(configuration) :
readSupportClass);
}
/**
* @param configuration to find the configuration for the read support
* @param the Java type of objects created by the ReadSupport
* @return the configured read support
*/
@SuppressWarnings("unchecked")
public static ReadSupport getReadSupportInstance(Configuration configuration){
return getReadSupportInstance(
(Class extends ReadSupport>) getReadSupportClass(configuration));
}
/**
* @param readSupportClass to instantiate
* @param the Java type of objects created by the ReadSupport
* @return the configured read support
*/
@SuppressWarnings("unchecked")
static ReadSupport getReadSupportInstance(
Class extends ReadSupport> readSupportClass){
try {
return readSupportClass.newInstance();
} catch (InstantiationException | IllegalAccessException e) {
throw new BadConfigurationException("could not instantiate read support class", e);
}
}
@Override
protected boolean isSplitable(JobContext context, Path filename) {
return ContextUtil.getConfiguration(context).getBoolean(SPLIT_FILES, true);
}
/**
* {@inheritDoc}
*/
@Override
public List getSplits(JobContext jobContext) throws IOException {
Configuration configuration = ContextUtil.getConfiguration(jobContext);
List splits = new ArrayList();
if (isTaskSideMetaData(configuration)) {
// Although not required by the API, some clients may depend on always
// receiving ParquetInputSplit. Translation is required at some point.
for (InputSplit split : super.getSplits(jobContext)) {
Preconditions.checkArgument(split instanceof FileSplit,
"Cannot wrap non-FileSplit: %s", split);
splits.add(ParquetInputSplit.from((FileSplit) split));
}
return splits;
} else {
splits.addAll(getSplits(configuration, getFooters(jobContext)));
}
return splits;
}
/**
* @param configuration the configuration to connect to the file system
* @param footers the footers of the files to read
* @return the splits for the footers
* @throws IOException if there is an error while reading
* @deprecated split planning using file footers will be removed
*/
@Deprecated
public List getSplits(Configuration configuration, List