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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 java.io.FileNotFoundException;
import java.io.IOException;
import java.util.Collection;
import java.util.List;
import java.util.NavigableSet;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HColumnDescriptor;
import org.apache.hadoop.hbase.HRegionInfo;
import org.apache.hadoop.hbase.KeyValue;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.classification.InterfaceAudience;
import org.apache.hadoop.hbase.classification.InterfaceStability;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.HeapSize;
import org.apache.hadoop.hbase.io.compress.Compression;
import org.apache.hadoop.hbase.io.hfile.CacheConfig;
import org.apache.hadoop.hbase.io.hfile.HFileDataBlockEncoder;
import org.apache.hadoop.hbase.protobuf.generated.WALProtos.CompactionDescriptor;
import org.apache.hadoop.hbase.regionserver.compactions.CompactionContext;
import org.apache.hadoop.hbase.regionserver.compactions.CompactionProgress;
import org.apache.hadoop.hbase.regionserver.compactions.CompactionRequest;
import org.apache.hadoop.hbase.regionserver.compactions.CompactionThroughputController;
import org.apache.hadoop.hbase.security.User;
/**
* Interface for objects that hold a column family in a Region. Its a memstore and a set of zero or
* more StoreFiles, which stretch backwards over time.
*/
@InterfaceAudience.Private
@InterfaceStability.Evolving
public interface Store extends HeapSize, StoreConfigInformation {
/* The default priority for user-specified compaction requests.
* The user gets top priority unless we have blocking compactions. (Pri <= 0)
*/ int PRIORITY_USER = 1;
int NO_PRIORITY = Integer.MIN_VALUE;
// General Accessors
KeyValue.KVComparator getComparator();
Collection getStorefiles();
/**
* Close all the readers We don't need to worry about subsequent requests because the HRegion
* holds a write lock that will prevent any more reads or writes.
* @return the {@link StoreFile StoreFiles} that were previously being used.
* @throws IOException on failure
*/
Collection close() throws IOException;
/**
* Return a scanner for both the memstore and the HStore files. Assumes we are not in a
* compaction.
* @param scan Scan to apply when scanning the stores
* @param targetCols columns to scan
* @return a scanner over the current key values
* @throws IOException on failure
*/
KeyValueScanner getScanner(Scan scan, final NavigableSet targetCols, long readPt)
throws IOException;
/**
* Get all scanners with no filtering based on TTL (that happens further down
* the line).
* @param cacheBlocks
* @param isGet
* @param usePread
* @param isCompaction
* @param matcher
* @param startRow
* @param stopRow
* @param readPt
* @return all scanners for this store
*/
List getScanners(
boolean cacheBlocks,
boolean isGet,
boolean usePread,
boolean isCompaction,
ScanQueryMatcher matcher,
byte[] startRow,
byte[] stopRow,
long readPt
) throws IOException;
ScanInfo getScanInfo();
/**
* Adds or replaces the specified KeyValues.
*
* For each KeyValue specified, if a cell with the same row, family, and qualifier exists in
* MemStore, it will be replaced. Otherwise, it will just be inserted to MemStore.
*
* This operation is atomic on each KeyValue (row/family/qualifier) but not necessarily atomic
* across all of them.
* @param cells
* @param readpoint readpoint below which we can safely remove duplicate KVs
* @return memstore size delta
* @throws IOException
*/
long upsert(Iterable cells, long readpoint) throws IOException;
/**
* Adds a value to the memstore
* @param kv
* @return memstore size delta
*/
long add(KeyValue kv);
/**
* When was the last edit done in the memstore
*/
long timeOfOldestEdit();
/**
* Removes a kv from the memstore. The KeyValue is removed only if its key & memstoreTS match the
* key & memstoreTS value of the kv parameter.
* @param kv
*/
void rollback(final KeyValue kv);
/**
* Find the key that matches row exactly, or the one that immediately precedes it. WARNING:
* Only use this method on a table where writes occur with strictly increasing timestamps. This
* method assumes this pattern of writes in order to make it reasonably performant. Also our
* search is dependent on the axiom that deletes are for cells that are in the container that
* follows whether a memstore snapshot or a storefile, not for the current container: i.e. we'll
* see deletes before we come across cells we are to delete. Presumption is that the
* memstore#kvset is processed before memstore#snapshot and so on.
* @param row The row key of the targeted row.
* @return Found keyvalue or null if none found.
* @throws IOException
*/
KeyValue getRowKeyAtOrBefore(final byte[] row) throws IOException;
FileSystem getFileSystem();
/**
* @param maxKeyCount
* @param compression Compression algorithm to use
* @param isCompaction whether we are creating a new file in a compaction
* @param includeMVCCReadpoint whether we should out the MVCC readpoint
* @return Writer for a new StoreFile in the tmp dir.
*/
StoreFile.Writer createWriterInTmp(
long maxKeyCount,
Compression.Algorithm compression,
boolean isCompaction,
boolean includeMVCCReadpoint,
boolean includesTags
) throws IOException;
/**
* @param maxKeyCount
* @param compression Compression algorithm to use
* @param isCompaction whether we are creating a new file in a compaction
* @param includeMVCCReadpoint whether we should out the MVCC readpoint
* @param shouldDropBehind should the writer drop caches behind writes
* @return Writer for a new StoreFile in the tmp dir.
*/
StoreFile.Writer createWriterInTmp(
long maxKeyCount,
Compression.Algorithm compression,
boolean isCompaction,
boolean includeMVCCReadpoint,
boolean includesTags,
boolean shouldDropBehind
) throws IOException;
// Compaction oriented methods
boolean throttleCompaction(long compactionSize);
/**
* getter for CompactionProgress object
* @return CompactionProgress object; can be null
*/
CompactionProgress getCompactionProgress();
CompactionContext requestCompaction() throws IOException;
/**
* @deprecated see requestCompaction(int, CompactionRequest, User)
*/
@Deprecated
CompactionContext requestCompaction(int priority, CompactionRequest baseRequest)
throws IOException;
CompactionContext requestCompaction(int priority, CompactionRequest baseRequest, User user)
throws IOException;
void cancelRequestedCompaction(CompactionContext compaction);
/**
* @deprecated see compact(CompactionContext, CompactionThroughputController, User)
*/
@Deprecated
List compact(CompactionContext compaction,
CompactionThroughputController throughputController) throws IOException;
List compact(CompactionContext compaction,
CompactionThroughputController throughputController, User user) throws IOException;
/**
* @return true if we should run a major compaction.
*/
boolean isMajorCompaction() throws IOException;
void triggerMajorCompaction();
/**
* See if there's too much store files in this store
* @return true if number of store files is greater than the number defined in minFilesToCompact
*/
boolean needsCompaction();
int getCompactPriority();
StoreFlushContext createFlushContext(long cacheFlushId);
/**
* Call to complete a compaction. Its for the case where we find in the WAL a compaction
* that was not finished. We could find one recovering a WAL after a regionserver crash.
* See HBASE-2331.
* @param compaction
*/
void completeCompactionMarker(CompactionDescriptor compaction)
throws IOException;
// Split oriented methods
boolean canSplit();
/**
* Determines if Store should be split
* @return byte[] if store should be split, null otherwise.
*/
byte[] getSplitPoint();
// Bulk Load methods
/**
* This throws a WrongRegionException if the HFile does not fit in this region, or an
* InvalidHFileException if the HFile is not valid.
*/
void assertBulkLoadHFileOk(Path srcPath) throws IOException;
/**
* This method should only be called from HRegion. It is assumed that the ranges of values in the
* HFile fit within the stores assigned region. (assertBulkLoadHFileOk checks this)
*
* @param srcPathStr
* @param sequenceId sequence Id associated with the HFile
*/
void bulkLoadHFile(String srcPathStr, long sequenceId) throws IOException;
// General accessors into the state of the store
// TODO abstract some of this out into a metrics class
/**
* @return true if the store has any underlying reference files to older HFiles
*/
boolean hasReferences();
/**
* @return The size of this store's memstore, in bytes
*/
long getMemStoreSize();
/**
* @return The amount of memory we could flush from this memstore; usually this is equal to
* {@link #getMemStoreSize()} unless we are carrying snapshots and then it will be the size of
* outstanding snapshots.
*/
long getFlushableSize();
HColumnDescriptor getFamily();
/**
* @return The maximum memstoreTS in all store files.
*/
long getMaxMemstoreTS();
/**
* @return the data block encoder
*/
HFileDataBlockEncoder getDataBlockEncoder();
/** @return aggregate size of all HStores used in the last compaction */
long getLastCompactSize();
/** @return aggregate size of HStore */
long getSize();
/**
* @return Count of store files
*/
int getStorefilesCount();
/**
* @return Max age of store files in this store
*/
long getMaxStoreFileAge();
/**
* @return Min age of store files in this store
*/
long getMinStoreFileAge();
/**
* @return Average age of store files in this store, 0 if no store files
*/
long getAvgStoreFileAge();
/**
* @return Number of reference files in this store
*/
long getNumReferenceFiles();
/**
* @return Number of HFiles in this store
*/
long getNumHFiles();
/**
* @return The size of the store files, in bytes, uncompressed.
*/
long getStoreSizeUncompressed();
/**
* @return The size of the store files, in bytes.
*/
long getStorefilesSize();
/**
* @return The size of the store file indexes, in bytes.
*/
long getStorefilesIndexSize();
/**
* Returns the total size of all index blocks in the data block indexes, including the root level,
* intermediate levels, and the leaf level for multi-level indexes, or just the root level for
* single-level indexes.
* @return the total size of block indexes in the store
*/
long getTotalStaticIndexSize();
/**
* Returns the total byte size of all Bloom filter bit arrays. For compound Bloom filters even the
* Bloom blocks currently not loaded into the block cache are counted.
* @return the total size of all Bloom filters in the store
*/
long getTotalStaticBloomSize();
// Test-helper methods
/**
* Used for tests.
* @return cache configuration for this Store.
*/
CacheConfig getCacheConfig();
/**
* @return the parent region info hosting this store
*/
HRegionInfo getRegionInfo();
RegionCoprocessorHost getCoprocessorHost();
boolean areWritesEnabled();
/**
* @return The smallest mvcc readPoint across all the scanners in this
* region. Writes older than this readPoint, are included in every
* read operation.
*/
long getSmallestReadPoint();
String getColumnFamilyName();
TableName getTableName();
/**
* @return The number of cells flushed to disk
*/
long getFlushedCellsCount();
/**
* @return The total size of data flushed to disk, in bytes
*/
long getFlushedCellsSize();
/**
* @return The number of cells processed during minor compactions
*/
long getCompactedCellsCount();
/**
* @return The total amount of data processed during minor compactions, in bytes
*/
long getCompactedCellsSize();
/**
* @return The number of cells processed during major compactions
*/
long getMajorCompactedCellsCount();
/**
* @return The total amount of data processed during major compactions, in bytes
*/
long getMajorCompactedCellsSize();
/*
* @param o Observer who wants to know about changes in set of Readers
*/
void addChangedReaderObserver(ChangedReadersObserver o);
/*
* @param o Observer no longer interested in changes in set of Readers.
*/
void deleteChangedReaderObserver(ChangedReadersObserver o);
/**
* @return Whether this store has too many store files.
*/
boolean hasTooManyStoreFiles();
/**
* This value can represent the degree of emergency of compaction for this store. It should be
* greater than or equal to 0.0, any value greater than 1.0 means we have too many store files.
*
* - if getStorefilesCount <= getMinFilesToCompact, return 0.0
* - return (getStorefilesCount - getMinFilesToCompact) / (blockingFileCount -
* getMinFilesToCompact)
*
*
* And for striped stores, we should calculate this value by the files in each stripe separately
* and return the maximum value.
*
* It is similar to {@link #getCompactPriority()} except that it is more suitable to use in a
* linear formula.
*/
double getCompactionPressure();
}
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