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/*
* 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.hadoop.hbase.regionserver;
import static org.apache.hadoop.hbase.regionserver.HStoreFile.BLOOM_FILTER_PARAM_KEY;
import static org.apache.hadoop.hbase.regionserver.HStoreFile.BLOOM_FILTER_TYPE_KEY;
import static org.apache.hadoop.hbase.regionserver.HStoreFile.DELETE_FAMILY_COUNT;
import static org.apache.hadoop.hbase.regionserver.HStoreFile.LAST_BLOOM_KEY;
import java.io.DataInput;
import java.io.IOException;
import java.util.Map;
import java.util.Optional;
import java.util.SortedSet;
import java.util.concurrent.atomic.AtomicInteger;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellComparator;
import org.apache.hadoop.hbase.HBaseInterfaceAudience;
import org.apache.hadoop.hbase.HConstants;
import org.apache.hadoop.hbase.KeyValue;
import org.apache.hadoop.hbase.PrivateCellUtil;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.TimeRange;
import org.apache.hadoop.hbase.io.hfile.BlockType;
import org.apache.hadoop.hbase.io.hfile.BloomFilterMetrics;
import org.apache.hadoop.hbase.io.hfile.CacheConfig;
import org.apache.hadoop.hbase.io.hfile.HFile;
import org.apache.hadoop.hbase.io.hfile.HFileBlock;
import org.apache.hadoop.hbase.io.hfile.HFileInfo;
import org.apache.hadoop.hbase.io.hfile.HFileScanner;
import org.apache.hadoop.hbase.io.hfile.ReaderContext;
import org.apache.hadoop.hbase.io.hfile.ReaderContext.ReaderType;
import org.apache.hadoop.hbase.nio.ByteBuff;
import org.apache.hadoop.hbase.util.BloomFilter;
import org.apache.hadoop.hbase.util.BloomFilterFactory;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.yetus.audience.InterfaceAudience;
import org.apache.yetus.audience.InterfaceStability;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* Reader for a StoreFile.
*/
@InterfaceAudience.LimitedPrivate(HBaseInterfaceAudience.PHOENIX)
@InterfaceStability.Evolving
public class StoreFileReader {
private static final Logger LOG = LoggerFactory.getLogger(StoreFileReader.class.getName());
protected BloomFilter generalBloomFilter = null;
protected BloomFilter deleteFamilyBloomFilter = null;
private BloomFilterMetrics bloomFilterMetrics = null;
protected BloomType bloomFilterType;
private final HFile.Reader reader;
protected long sequenceID = -1;
protected TimeRange timeRange = null;
private byte[] lastBloomKey;
private long deleteFamilyCnt = -1;
private boolean bulkLoadResult = false;
private KeyValue.KeyOnlyKeyValue lastBloomKeyOnlyKV = null;
private boolean skipResetSeqId = true;
private int prefixLength = -1;
protected Configuration conf;
// Counter that is incremented every time a scanner is created on the
// store file. It is decremented when the scan on the store file is
// done. All StoreFileReader for the same StoreFile will share this counter.
private final AtomicInteger refCount;
private final ReaderContext context;
private StoreFileReader(HFile.Reader reader, AtomicInteger refCount, ReaderContext context,
Configuration conf) {
this.reader = reader;
bloomFilterType = BloomType.NONE;
this.refCount = refCount;
this.context = context;
this.conf = conf;
}
public StoreFileReader(ReaderContext context, HFileInfo fileInfo, CacheConfig cacheConf,
AtomicInteger refCount, Configuration conf) throws IOException {
this(HFile.createReader(context, fileInfo, cacheConf, conf), refCount, context, conf);
}
void copyFields(StoreFileReader storeFileReader) throws IOException {
this.generalBloomFilter = storeFileReader.generalBloomFilter;
this.deleteFamilyBloomFilter = storeFileReader.deleteFamilyBloomFilter;
this.bloomFilterType = storeFileReader.bloomFilterType;
this.sequenceID = storeFileReader.sequenceID;
this.timeRange = storeFileReader.timeRange;
this.lastBloomKey = storeFileReader.lastBloomKey;
this.bulkLoadResult = storeFileReader.bulkLoadResult;
this.lastBloomKeyOnlyKV = storeFileReader.lastBloomKeyOnlyKV;
this.skipResetSeqId = storeFileReader.skipResetSeqId;
this.prefixLength = storeFileReader.prefixLength;
}
public boolean isPrimaryReplicaReader() {
return reader.isPrimaryReplicaReader();
}
/**
* ONLY USE DEFAULT CONSTRUCTOR FOR UNIT TESTS
*/
@InterfaceAudience.Private
StoreFileReader() {
this.refCount = new AtomicInteger(0);
this.reader = null;
this.context = null;
}
public CellComparator getComparator() {
return reader.getComparator();
}
/**
* Get a scanner to scan over this StoreFile.
* @param cacheBlocks should this scanner cache blocks?
* @param pread use pread (for highly concurrent small readers)
* @param isCompaction is scanner being used for compaction?
* @param scannerOrder Order of this scanner relative to other scanners. See
* {@link KeyValueScanner#getScannerOrder()}.
* @param canOptimizeForNonNullColumn {@code true} if we can make sure there is no null column,
* otherwise {@code false}. This is a hint for optimization.
* @return a scanner
*/
public StoreFileScanner getStoreFileScanner(boolean cacheBlocks, boolean pread,
boolean isCompaction, long readPt, long scannerOrder, boolean canOptimizeForNonNullColumn) {
return new StoreFileScanner(this, getScanner(cacheBlocks, pread, isCompaction), !isCompaction,
reader.hasMVCCInfo(), readPt, scannerOrder, canOptimizeForNonNullColumn);
}
/**
* Return the ref count associated with the reader whenever a scanner associated with the reader
* is opened.
*/
int getRefCount() {
return refCount.get();
}
/**
* Indicate that the scanner has started reading with this reader. We need to increment the ref
* count so reader is not close until some object is holding the lock
*/
void incrementRefCount() {
refCount.incrementAndGet();
}
/**
* Indicate that the scanner has finished reading with this reader. We need to decrement the ref
* count, and also, if this is not the common pread reader, we should close it.
*/
void readCompleted() {
refCount.decrementAndGet();
if (context.getReaderType() == ReaderType.STREAM) {
try {
reader.close(false);
} catch (IOException e) {
LOG.warn("failed to close stream reader", e);
}
}
}
/**
* @deprecated since 2.0.0 and will be removed in 3.0.0. Do not write further code which depends
* on this call. Instead use getStoreFileScanner() which uses the StoreFileScanner
* class/interface which is the preferred way to scan a store with higher level
* concepts.
* @param cacheBlocks should we cache the blocks?
* @param pread use pread (for concurrent small readers)
* @return the underlying HFileScanner
* @see HBASE-15296
*/
@Deprecated
public HFileScanner getScanner(boolean cacheBlocks, boolean pread) {
return getScanner(cacheBlocks, pread, false);
}
/**
* @deprecated since 2.0.0 and will be removed in 3.0.0. Do not write further code which depends
* on this call. Instead use getStoreFileScanner() which uses the StoreFileScanner
* class/interface which is the preferred way to scan a store with higher level
* concepts. should we cache the blocks? use pread (for concurrent small readers) is
* scanner being used for compaction?
* @return the underlying HFileScanner
* @see HBASE-15296
*/
@Deprecated
public HFileScanner getScanner(boolean cacheBlocks, boolean pread, boolean isCompaction) {
return reader.getScanner(conf, cacheBlocks, pread, isCompaction);
}
public void close(boolean evictOnClose) throws IOException {
reader.close(evictOnClose);
}
/**
* Check if this storeFile may contain keys within the TimeRange that have not expired (i.e. not
* older than oldestUnexpiredTS).
* @param tr the timeRange to restrict
* @param oldestUnexpiredTS the oldest timestamp that is not expired, as determined by the column
* family's TTL
* @return false if queried keys definitely don't exist in this StoreFile
*/
boolean passesTimerangeFilter(TimeRange tr, long oldestUnexpiredTS) {
return this.timeRange == null
? true
: this.timeRange.includesTimeRange(tr) && this.timeRange.getMax() >= oldestUnexpiredTS;
}
/**
* Checks whether the given scan passes the Bloom filter (if present). Only checks Bloom filters
* for single-row or single-row-column scans. Bloom filter checking for multi-gets is implemented
* as part of the store scanner system (see {@link StoreFileScanner#seek(Cell)} and uses the
* lower-level API {@link #passesGeneralRowBloomFilter(byte[], int, int)} and
* {@link #passesGeneralRowColBloomFilter(Cell)}.
* @param scan the scan specification. Used to determine the row, and to check whether this is
* a single-row ("get") scan.
* @param columns the set of columns. Only used for row-column Bloom filters.
* @return true if the scan with the given column set passes the Bloom filter, or if the Bloom
* filter is not applicable for the scan. False if the Bloom filter is applicable and the
* scan fails it.
*/
boolean passesBloomFilter(Scan scan, final SortedSet columns) {
byte[] row = scan.getStartRow();
switch (this.bloomFilterType) {
case ROW:
if (!scan.isGetScan()) {
return true;
}
return passesGeneralRowBloomFilter(row, 0, row.length);
case ROWCOL:
if (!scan.isGetScan()) {
return true;
}
if (columns != null && columns.size() == 1) {
byte[] column = columns.first();
// create the required fake key
Cell kvKey = PrivateCellUtil.createFirstOnRow(row, HConstants.EMPTY_BYTE_ARRAY, column);
return passesGeneralRowColBloomFilter(kvKey);
}
// For multi-column queries the Bloom filter is checked from the
// seekExact operation.
return true;
case ROWPREFIX_FIXED_LENGTH:
return passesGeneralRowPrefixBloomFilter(scan);
default:
if (scan.isGetScan()) {
bloomFilterMetrics.incrementEligible();
}
return true;
}
}
public boolean passesDeleteFamilyBloomFilter(byte[] row, int rowOffset, int rowLen) {
// Cache Bloom filter as a local variable in case it is set to null by
// another thread on an IO error.
BloomFilter bloomFilter = this.deleteFamilyBloomFilter;
// Empty file or there is no delete family at all
if (reader.getTrailer().getEntryCount() == 0 || deleteFamilyCnt == 0) {
return false;
}
if (bloomFilter == null) {
return true;
}
try {
if (!bloomFilter.supportsAutoLoading()) {
return true;
}
return bloomFilter.contains(row, rowOffset, rowLen, null);
} catch (IllegalArgumentException e) {
LOG.error("Bad Delete Family bloom filter data -- proceeding without", e);
setDeleteFamilyBloomFilterFaulty();
}
return true;
}
/**
* A method for checking Bloom filters. Called directly from StoreFileScanner in case of a
* multi-column query.
* @return True if passes
*/
private boolean passesGeneralRowBloomFilter(byte[] row, int rowOffset, int rowLen) {
BloomFilter bloomFilter = this.generalBloomFilter;
if (bloomFilter == null) {
bloomFilterMetrics.incrementEligible();
return true;
}
// Used in ROW bloom
byte[] key = null;
if (rowOffset != 0 || rowLen != row.length) {
throw new AssertionError("For row-only Bloom filters the row must occupy the whole array");
}
key = row;
return checkGeneralBloomFilter(key, null, bloomFilter);
}
/**
* A method for checking Bloom filters. Called directly from StoreFileScanner in case of a
* multi-column query. the cell to check if present in BloomFilter
* @return True if passes
*/
public boolean passesGeneralRowColBloomFilter(Cell cell) {
BloomFilter bloomFilter = this.generalBloomFilter;
if (bloomFilter == null) {
bloomFilterMetrics.incrementEligible();
return true;
}
// Used in ROW_COL bloom
Cell kvKey = null;
// Already if the incoming key is a fake rowcol key then use it as it is
if (cell.getTypeByte() == KeyValue.Type.Maximum.getCode() && cell.getFamilyLength() == 0) {
kvKey = cell;
} else {
kvKey = PrivateCellUtil.createFirstOnRowCol(cell);
}
return checkGeneralBloomFilter(null, kvKey, bloomFilter);
}
/**
* A method for checking Bloom filters. Called directly from StoreFileScanner in case of a
* multi-column query.
* @return True if passes
*/
private boolean passesGeneralRowPrefixBloomFilter(Scan scan) {
BloomFilter bloomFilter = this.generalBloomFilter;
if (bloomFilter == null) {
bloomFilterMetrics.incrementEligible();
return true;
}
byte[] row = scan.getStartRow();
byte[] rowPrefix;
if (scan.isGetScan()) {
rowPrefix = Bytes.copy(row, 0, Math.min(prefixLength, row.length));
} else {
// For non-get scans
// Find out the common prefix of startRow and stopRow.
int commonLength = Bytes.findCommonPrefix(scan.getStartRow(), scan.getStopRow(),
scan.getStartRow().length, scan.getStopRow().length, 0, 0);
// startRow and stopRow don't have the common prefix.
// Or the common prefix length is less than prefixLength
if (commonLength <= 0 || commonLength < prefixLength) {
return true;
}
rowPrefix = Bytes.copy(row, 0, prefixLength);
}
return checkGeneralBloomFilter(rowPrefix, null, bloomFilter);
}
private boolean checkGeneralBloomFilter(byte[] key, Cell kvKey, BloomFilter bloomFilter) {
// Empty file
if (reader.getTrailer().getEntryCount() == 0) {
return false;
}
HFileBlock bloomBlock = null;
try {
boolean shouldCheckBloom;
ByteBuff bloom;
if (bloomFilter.supportsAutoLoading()) {
bloom = null;
shouldCheckBloom = true;
} else {
bloomBlock = reader.getMetaBlock(HFile.BLOOM_FILTER_DATA_KEY, true);
bloom = bloomBlock.getBufferWithoutHeader();
shouldCheckBloom = bloom != null;
}
if (shouldCheckBloom) {
boolean exists;
// Whether the primary Bloom key is greater than the last Bloom key
// from the file info. For row-column Bloom filters this is not yet
// a sufficient condition to return false.
boolean keyIsAfterLast = (lastBloomKey != null);
// hbase:meta does not have blooms. So we need not have special interpretation
// of the hbase:meta cells. We can safely use Bytes.BYTES_RAWCOMPARATOR for ROW Bloom
if (keyIsAfterLast) {
if (bloomFilterType == BloomType.ROWCOL) {
keyIsAfterLast = (CellComparator.getInstance().compare(kvKey, lastBloomKeyOnlyKV)) > 0;
} else {
keyIsAfterLast = (Bytes.BYTES_RAWCOMPARATOR.compare(key, lastBloomKey) > 0);
}
}
if (bloomFilterType == BloomType.ROWCOL) {
// Since a Row Delete is essentially a DeleteFamily applied to all
// columns, a file might be skipped if using row+col Bloom filter.
// In order to ensure this file is included an additional check is
// required looking only for a row bloom.
Cell rowBloomKey = PrivateCellUtil.createFirstOnRow(kvKey);
// hbase:meta does not have blooms. So we need not have special interpretation
// of the hbase:meta cells. We can safely use Bytes.BYTES_RAWCOMPARATOR for ROW Bloom
if (
keyIsAfterLast
&& (CellComparator.getInstance().compare(rowBloomKey, lastBloomKeyOnlyKV)) > 0
) {
exists = false;
} else {
exists = bloomFilter.contains(kvKey, bloom, BloomType.ROWCOL)
|| bloomFilter.contains(rowBloomKey, bloom, BloomType.ROWCOL);
}
} else {
exists = !keyIsAfterLast && bloomFilter.contains(key, 0, key.length, bloom);
}
return exists;
}
} catch (IOException e) {
LOG.error("Error reading bloom filter data -- proceeding without", e);
setGeneralBloomFilterFaulty();
} catch (IllegalArgumentException e) {
LOG.error("Bad bloom filter data -- proceeding without", e);
setGeneralBloomFilterFaulty();
} finally {
// Release the bloom block so that its ref count can be decremented.
if (bloomBlock != null) {
bloomBlock.release();
}
}
return true;
}
/**
* Checks whether the given scan rowkey range overlaps with the current storefile's
* @param scan the scan specification. Used to determine the rowkey range.
* @return true if there is overlap, false otherwise
*/
public boolean passesKeyRangeFilter(Scan scan) {
Optional firstKeyKV = this.getFirstKey();
Optional lastKeyKV = this.getLastKey();
if (!firstKeyKV.isPresent() || !lastKeyKV.isPresent()) {
// the file is empty
return false;
}
if (
Bytes.equals(scan.getStartRow(), HConstants.EMPTY_START_ROW)
&& Bytes.equals(scan.getStopRow(), HConstants.EMPTY_END_ROW)
) {
return true;
}
byte[] smallestScanRow = scan.isReversed() ? scan.getStopRow() : scan.getStartRow();
byte[] largestScanRow = scan.isReversed() ? scan.getStartRow() : scan.getStopRow();
boolean nonOverLapping =
(getComparator().compareRows(firstKeyKV.get(), largestScanRow, 0, largestScanRow.length) > 0
&& !Bytes.equals(scan.isReversed() ? scan.getStartRow() : scan.getStopRow(),
HConstants.EMPTY_END_ROW))
|| getComparator().compareRows(lastKeyKV.get(), smallestScanRow, 0, smallestScanRow.length)
< 0;
return !nonOverLapping;
}
public Map loadFileInfo() throws IOException {
Map fi = reader.getHFileInfo();
byte[] b = fi.get(BLOOM_FILTER_TYPE_KEY);
if (b != null) {
bloomFilterType = BloomType.valueOf(Bytes.toString(b));
}
byte[] p = fi.get(BLOOM_FILTER_PARAM_KEY);
if (bloomFilterType == BloomType.ROWPREFIX_FIXED_LENGTH) {
prefixLength = Bytes.toInt(p);
}
lastBloomKey = fi.get(LAST_BLOOM_KEY);
if (bloomFilterType == BloomType.ROWCOL) {
lastBloomKeyOnlyKV = new KeyValue.KeyOnlyKeyValue(lastBloomKey, 0, lastBloomKey.length);
}
byte[] cnt = fi.get(DELETE_FAMILY_COUNT);
if (cnt != null) {
deleteFamilyCnt = Bytes.toLong(cnt);
}
return fi;
}
public void loadBloomfilter() {
this.loadBloomfilter(BlockType.GENERAL_BLOOM_META, null);
this.loadBloomfilter(BlockType.DELETE_FAMILY_BLOOM_META, null);
}
public void loadBloomfilter(BlockType blockType, BloomFilterMetrics metrics) {
try {
this.bloomFilterMetrics = metrics;
if (blockType == BlockType.GENERAL_BLOOM_META) {
if (this.generalBloomFilter != null) return; // Bloom has been loaded
DataInput bloomMeta = reader.getGeneralBloomFilterMetadata();
if (bloomMeta != null) {
// sanity check for NONE Bloom filter
if (bloomFilterType == BloomType.NONE) {
throw new IOException("valid bloom filter type not found in FileInfo");
} else {
generalBloomFilter = BloomFilterFactory.createFromMeta(bloomMeta, reader, metrics);
if (LOG.isTraceEnabled()) {
LOG.trace("Loaded " + bloomFilterType.toString() + " "
+ generalBloomFilter.getClass().getSimpleName() + " metadata for "
+ reader.getName());
}
}
}
} else if (blockType == BlockType.DELETE_FAMILY_BLOOM_META) {
if (this.deleteFamilyBloomFilter != null) return; // Bloom has been loaded
DataInput bloomMeta = reader.getDeleteBloomFilterMetadata();
if (bloomMeta != null) {
// don't pass in metrics for the delete family bloom for now since the
// goal is to give users insight into blooms _they_ configured.
deleteFamilyBloomFilter = BloomFilterFactory.createFromMeta(bloomMeta, reader, null);
LOG.info(
"Loaded Delete Family Bloom (" + deleteFamilyBloomFilter.getClass().getSimpleName()
+ ") metadata for " + reader.getName());
}
} else {
throw new RuntimeException(
"Block Type: " + blockType.toString() + "is not supported for Bloom filter");
}
} catch (IOException e) {
LOG.error("Error reading bloom filter meta for " + blockType + " -- proceeding without", e);
setBloomFilterFaulty(blockType);
} catch (IllegalArgumentException e) {
LOG.error("Bad bloom filter meta " + blockType + " -- proceeding without", e);
setBloomFilterFaulty(blockType);
}
}
private void setBloomFilterFaulty(BlockType blockType) {
if (blockType == BlockType.GENERAL_BLOOM_META) {
setGeneralBloomFilterFaulty();
} else if (blockType == BlockType.DELETE_FAMILY_BLOOM_META) {
setDeleteFamilyBloomFilterFaulty();
}
}
/**
* The number of Bloom filter entries in this store file, or an estimate thereof, if the Bloom
* filter is not loaded. This always returns an upper bound of the number of Bloom filter entries.
* @return an estimate of the number of Bloom filter entries in this file
*/
public long getFilterEntries() {
return generalBloomFilter != null ? generalBloomFilter.getKeyCount() : reader.getEntries();
}
public void setGeneralBloomFilterFaulty() {
generalBloomFilter = null;
}
public void setDeleteFamilyBloomFilterFaulty() {
this.deleteFamilyBloomFilter = null;
}
public Optional getLastKey() {
return reader.getLastKey();
}
public Optional getLastRowKey() {
return reader.getLastRowKey();
}
public Optional midKey() throws IOException {
return reader.midKey();
}
public long length() {
return reader.length();
}
public long getTotalUncompressedBytes() {
return reader.getTrailer().getTotalUncompressedBytes();
}
public long getEntries() {
return reader.getEntries();
}
public long getDeleteFamilyCnt() {
return deleteFamilyCnt;
}
public Optional| getFirstKey() {
return reader.getFirstKey();
}
public long indexSize() {
return reader.indexSize();
}
public BloomType getBloomFilterType() {
return this.bloomFilterType;
}
public long getSequenceID() {
return sequenceID;
}
public void setSequenceID(long sequenceID) {
this.sequenceID = sequenceID;
}
public void setBulkLoaded(boolean bulkLoadResult) {
this.bulkLoadResult = bulkLoadResult;
}
public boolean isBulkLoaded() {
return this.bulkLoadResult;
}
BloomFilter getGeneralBloomFilter() {
return generalBloomFilter;
}
long getUncompressedDataIndexSize() {
return reader.getTrailer().getUncompressedDataIndexSize();
}
public long getTotalBloomSize() {
if (generalBloomFilter == null) return 0;
return generalBloomFilter.getByteSize();
}
public int getHFileVersion() {
return reader.getTrailer().getMajorVersion();
}
public int getHFileMinorVersion() {
return reader.getTrailer().getMinorVersion();
}
public HFile.Reader getHFileReader() {
return reader;
}
void disableBloomFilterForTesting() {
generalBloomFilter = null;
this.deleteFamilyBloomFilter = null;
}
public long getMaxTimestamp() {
return timeRange == null ? TimeRange.INITIAL_MAX_TIMESTAMP : timeRange.getMax();
}
boolean isSkipResetSeqId() {
return skipResetSeqId;
}
void setSkipResetSeqId(boolean skipResetSeqId) {
this.skipResetSeqId = skipResetSeqId;
}
public int getPrefixLength() {
return prefixLength;
}
public ReaderContext getReaderContext() {
return this.context;
}
}
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