HBASE-26567 Remove IndexType from ChunkCreator (#3947)
Signed-off-by: Duo Zhang <zhangduo@apache.org>
This commit is contained in:
parent
10eea31ca9
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@ -28,6 +28,7 @@ import java.util.concurrent.TimeUnit;
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import java.util.concurrent.atomic.AtomicInteger;
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import java.util.concurrent.atomic.AtomicLong;
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import java.util.concurrent.atomic.LongAdder;
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import org.apache.hadoop.hbase.regionserver.HeapMemoryManager.HeapMemoryTuneObserver;
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import org.apache.hadoop.hbase.util.Bytes;
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import org.apache.hadoop.util.StringUtils;
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@ -134,35 +135,20 @@ public class ChunkCreator {
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return instance;
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}
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/**
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* Creates and inits a chunk. The default implementation for a specific chunk size.
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* @return the chunk that was initialized
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*/
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Chunk getChunk(ChunkType chunkType) {
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return getChunk(CompactingMemStore.IndexType.ARRAY_MAP, chunkType);
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}
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/**
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* Creates and inits a chunk. The default implementation.
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* Creates and inits a data chunk. The default implementation.
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* @return the chunk that was initialized
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*/
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Chunk getChunk() {
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return getChunk(CompactingMemStore.IndexType.ARRAY_MAP, ChunkType.DATA_CHUNK);
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return getChunk(ChunkType.DATA_CHUNK);
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}
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/**
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* Creates and inits a chunk. The default implementation for a specific index type.
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* Creates and inits a chunk with specific type.
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* @return the chunk that was initialized
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*/
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Chunk getChunk(CompactingMemStore.IndexType chunkIndexType) {
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return getChunk(chunkIndexType, ChunkType.DATA_CHUNK);
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}
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/**
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* Creates and inits a chunk with specific index type and type.
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* @return the chunk that was initialized
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*/
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Chunk getChunk(CompactingMemStore.IndexType chunkIndexType, ChunkType chunkType) {
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Chunk getChunk(ChunkType chunkType) {
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switch (chunkType) {
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case INDEX_CHUNK:
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if (indexChunksPool == null) {
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@ -170,15 +156,15 @@ public class ChunkCreator {
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throw new IllegalArgumentException(
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"chunkType is INDEX_CHUNK but indexChunkSize is:[" + this.indexChunkSize + "]");
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}
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return getChunk(chunkIndexType, chunkType, indexChunkSize);
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return getChunk(chunkType, indexChunkSize);
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} else {
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return getChunk(chunkIndexType, chunkType, indexChunksPool.getChunkSize());
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return getChunk(chunkType, indexChunksPool.getChunkSize());
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}
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case DATA_CHUNK:
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if (dataChunksPool == null) {
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return getChunk(chunkIndexType, chunkType, chunkSize);
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return getChunk(chunkType, chunkSize);
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} else {
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return getChunk(chunkIndexType, chunkType, dataChunksPool.getChunkSize());
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return getChunk(chunkType, dataChunksPool.getChunkSize());
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}
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default:
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throw new IllegalArgumentException(
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@ -189,10 +175,9 @@ public class ChunkCreator {
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/**
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* Creates and inits a chunk.
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* @return the chunk that was initialized
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* @param chunkIndexType whether the requested chunk is going to be used with CellChunkMap index
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* @param size the size of the chunk to be allocated, in bytes
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*/
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Chunk getChunk(CompactingMemStore.IndexType chunkIndexType, ChunkType chunkType, int size) {
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Chunk getChunk(ChunkType chunkType, int size) {
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Chunk chunk = null;
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MemStoreChunkPool pool = null;
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@ -217,9 +202,7 @@ public class ChunkCreator {
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}
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if (chunk == null) {
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// the second parameter explains whether CellChunkMap index is requested,
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// in that case, put allocated on demand chunk mapping into chunkIdMap
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chunk = createChunk(false, chunkIndexType, chunkType, size);
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chunk = createChunk(false, chunkType, size);
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}
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// now we need to actually do the expensive memory allocation step in case of a new chunk,
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@ -240,22 +223,21 @@ public class ChunkCreator {
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if (allocSize <= this.getChunkSize(ChunkType.DATA_CHUNK)) {
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LOG.warn("Jumbo chunk size " + jumboSize + " must be more than regular chunk size "
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+ this.getChunkSize(ChunkType.DATA_CHUNK) + ". Converting to regular chunk.");
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return getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
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return getChunk();
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}
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// the new chunk is going to hold the jumbo cell data and needs to be referenced by
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// a strong map. Therefore the CCM index type
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return getChunk(CompactingMemStore.IndexType.CHUNK_MAP, ChunkType.JUMBO_CHUNK, allocSize);
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// a strong map.
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return getChunk(ChunkType.JUMBO_CHUNK, allocSize);
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}
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/**
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* Creates the chunk either onheap or offheap
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* @param pool indicates if the chunks have to be created which will be used by the Pool
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* @param chunkIndexType whether the requested chunk is going to be used with CellChunkMap index
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* @param chunkType whether the requested chunk is data chunk or index chunk.
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* @param size the size of the chunk to be allocated, in bytes
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* @return the chunk
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*/
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private Chunk createChunk(boolean pool, CompactingMemStore.IndexType chunkIndexType,
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ChunkType chunkType, int size) {
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private Chunk createChunk(boolean pool, ChunkType chunkType, int size) {
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Chunk chunk = null;
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int id = chunkID.getAndIncrement();
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assert id > 0;
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@ -265,22 +247,39 @@ public class ChunkCreator {
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} else {
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chunk = new OnheapChunk(size, id, chunkType, pool);
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}
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if (pool || (chunkIndexType == CompactingMemStore.IndexType.CHUNK_MAP)) {
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// put the pool chunk into the chunkIdMap so it is not GC-ed
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this.chunkIdMap.put(chunk.getId(), chunk);
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}
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/**
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* Here we always put the chunk into the {@link ChunkCreator#chunkIdMap} no matter whether the
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* chunk is pooled or not. <br/>
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* For {@link CompactingMemStore},because the chunk could only be acquired from
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* {@link ChunkCreator} through {@link MemStoreLABImpl}, and
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* {@link CompactingMemStore#indexType} could only be {@link IndexType.CHUNK_MAP} when using
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* {@link MemStoreLABImpl}, so we must put chunk into this {@link ChunkCreator#chunkIdMap} to
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* make sure the chunk could be got by chunkId.
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* <p>
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* For {@link DefaultMemStore},it is also reasonable to put the chunk in
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* {@link ChunkCreator#chunkIdMap} because: <br/>
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* 1.When the {@link MemStoreLAB} which created the chunk is not closed, this chunk is used by
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* the {@link Segment} which references this {@link MemStoreLAB}, so this chunk certainly should
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* not be GC-ed, putting the chunk in {@link ChunkCreator#chunkIdMap} does not prevent useless
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* chunk to be GC-ed. <br/>
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* 2.When the {@link MemStoreLAB} which created the chunk is closed, and if the chunk is not
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* pooled, {@link ChunkCreator#removeChunk} is invoked to remove the chunk from this
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* {@link ChunkCreator#chunkIdMap}, so there is no memory leak.
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*/
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this.chunkIdMap.put(chunk.getId(), chunk);
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return chunk;
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}
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// Chunks from pool are created covered with strong references anyway
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// TODO: change to CHUNK_MAP if it is generally defined
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private Chunk createChunkForPool(CompactingMemStore.IndexType chunkIndexType, ChunkType chunkType,
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// Chunks from pool are created covered with strong references anyway.
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private Chunk createChunkForPool(ChunkType chunkType,
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int chunkSize) {
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if (chunkSize != dataChunksPool.getChunkSize() &&
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chunkSize != indexChunksPool.getChunkSize()) {
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return null;
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}
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return createChunk(true, chunkIndexType, chunkType, chunkSize);
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return createChunk(true, chunkType, chunkSize);
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}
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// Used to translate the ChunkID into a chunk ref
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@ -346,7 +345,7 @@ public class ChunkCreator {
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this.reclaimedChunks = new LinkedBlockingQueue<>();
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for (int i = 0; i < initialCount; i++) {
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Chunk chunk =
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createChunk(true, CompactingMemStore.IndexType.ARRAY_MAP, chunkType, chunkSize);
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createChunk(true, chunkType, chunkSize);
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chunk.init();
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reclaimedChunks.add(chunk);
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}
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@ -368,10 +367,6 @@ public class ChunkCreator {
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* @see #putbackChunks(Chunk)
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*/
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Chunk getChunk() {
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return getChunk(CompactingMemStore.IndexType.ARRAY_MAP);
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}
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Chunk getChunk(CompactingMemStore.IndexType chunkIndexType) {
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Chunk chunk = reclaimedChunks.poll();
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if (chunk != null) {
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chunk.reset();
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@ -382,7 +377,7 @@ public class ChunkCreator {
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long created = this.chunkCount.get();
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if (created < this.maxCount) {
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if (this.chunkCount.compareAndSet(created, created + 1)) {
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chunk = createChunkForPool(chunkIndexType, chunkType, chunkSize);
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chunk = createChunkForPool(chunkType, chunkSize);
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break;
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}
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} else {
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@ -559,7 +554,7 @@ public class ChunkCreator {
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boolean isChunkInPool(int chunkId) {
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Chunk c = getChunk(chunkId);
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if (c==null) {
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if (c == null) {
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return false;
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}
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@ -33,6 +33,7 @@ import org.apache.hadoop.hbase.Cell;
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import org.apache.hadoop.hbase.ExtendedCell;
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import org.apache.hadoop.hbase.KeyValueUtil;
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import org.apache.hadoop.hbase.nio.RefCnt;
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import org.apache.hadoop.hbase.regionserver.CompactingMemStore.IndexType;
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import org.apache.yetus.audience.InterfaceAudience;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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@ -42,27 +43,28 @@ import org.apache.hbase.thirdparty.com.google.common.base.Preconditions;
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/**
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* A memstore-local allocation buffer.
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* <p>
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* The MemStoreLAB is basically a bump-the-pointer allocator that allocates
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* big (2MB) byte[] chunks from and then doles it out to threads that request
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* slices into the array.
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* The MemStoreLAB is basically a bump-the-pointer allocator that allocates big (2MB) byte[] chunks
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* from and then doles it out to threads that request slices into the array.
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* <p>
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* The purpose of this class is to combat heap fragmentation in the
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* regionserver. By ensuring that all Cells in a given memstore refer
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* only to large chunks of contiguous memory, we ensure that large blocks
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* get freed up when the memstore is flushed.
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* The purpose of this class is to combat heap fragmentation in the regionserver. By ensuring that
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* all Cells in a given memstore refer only to large chunks of contiguous memory, we ensure that
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* large blocks get freed up when the memstore is flushed.
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* <p>
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* Without the MSLAB, the byte array allocated during insertion end up
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* interleaved throughout the heap, and the old generation gets progressively
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* more fragmented until a stop-the-world compacting collection occurs.
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* Without the MSLAB, the byte array allocated during insertion end up interleaved throughout the
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* heap, and the old generation gets progressively more fragmented until a stop-the-world compacting
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* collection occurs.
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* <p>
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* TODO: we should probably benchmark whether word-aligning the allocations
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* would provide a performance improvement - probably would speed up the
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* Bytes.toLong/Bytes.toInt calls in KeyValue, but some of those are cached
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* anyway.
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* The chunks created by this MemStoreLAB can get pooled at {@link ChunkCreator}.
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* When the Chunk comes from pool, it can be either an on heap or an off heap backed chunk. The chunks,
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* which this MemStoreLAB creates on its own (when no chunk available from pool), those will be
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* always on heap backed.
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* TODO: we should probably benchmark whether word-aligning the allocations would provide a
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* performance improvement - probably would speed up the Bytes.toLong/Bytes.toInt calls in KeyValue,
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* but some of those are cached anyway. The chunks created by this MemStoreLAB can get pooled at
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* {@link ChunkCreator}. When the Chunk comes from pool, it can be either an on heap or an off heap
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* backed chunk. The chunks, which this MemStoreLAB creates on its own (when no chunk available from
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* pool), those will be always on heap backed.
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* <p>
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* NOTE:if user requested to work with MSLABs (whether on- or off-heap), in
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* {@link CompactingMemStore} ctor, the {@link CompactingMemStore#indexType} could only be
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* {@link IndexType#CHUNK_MAP},that is to say the immutable segments using MSLABs are going to use
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* {@link CellChunkMap} as their index.
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*/
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@InterfaceAudience.Private
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public class MemStoreLABImpl implements MemStoreLAB {
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@ -78,7 +80,6 @@ public class MemStoreLABImpl implements MemStoreLAB {
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private final int dataChunkSize;
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private final int maxAlloc;
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private final ChunkCreator chunkCreator;
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private final CompactingMemStore.IndexType idxType; // what index is used for corresponding segment
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// This flag is for closing this instance, its set when clearing snapshot of
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// memstore
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@ -104,13 +105,11 @@ public class MemStoreLABImpl implements MemStoreLAB {
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// if we don't exclude allocations >CHUNK_SIZE, we'd infiniteloop on one!
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Preconditions.checkArgument(maxAlloc <= dataChunkSize,
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MAX_ALLOC_KEY + " must be less than " + CHUNK_SIZE_KEY);
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this.refCnt = RefCnt.create(() -> {
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recycleChunks();
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});
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// if user requested to work with MSLABs (whether on- or off-heap), then the
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// immutable segments are going to use CellChunkMap as their index
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idxType = CompactingMemStore.IndexType.CHUNK_MAP;
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}
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@Override
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@ -339,7 +338,7 @@ public class MemStoreLABImpl implements MemStoreLAB {
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if (c != null) {
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return c;
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}
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c = this.chunkCreator.getChunk(idxType);
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c = this.chunkCreator.getChunk();
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if (c != null) {
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// set the curChunk. No need of CAS as only one thread will be here
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currChunk.set(c);
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@ -282,8 +282,8 @@ public class TestCellFlatSet {
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// allocate new chunks and use the data chunk to hold the full data of the cells
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// and the index chunk to hold the cell-representations
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Chunk dataChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
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Chunk idxChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
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Chunk dataChunk = chunkCreator.getChunk();
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Chunk idxChunk = chunkCreator.getChunk();
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// the array of index chunks to be used as a basis for CellChunkMap
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Chunk chunkArray[] = new Chunk[8]; // according to test currently written 8 is way enough
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int chunkArrayIdx = 0;
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@ -300,7 +300,7 @@ public class TestCellFlatSet {
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// do we have enough space to write the cell data on the data chunk?
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if (dataOffset + kv.getSerializedSize() > chunkCreator.getChunkSize()) {
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// allocate more data chunks if needed
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dataChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
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dataChunk = chunkCreator.getChunk();
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dataBuffer = dataChunk.getData();
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dataOffset = ChunkCreator.SIZEOF_CHUNK_HEADER;
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}
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@ -310,7 +310,7 @@ public class TestCellFlatSet {
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// do we have enough space to write the cell-representation on the index chunk?
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if (idxOffset + ClassSize.CELL_CHUNK_MAP_ENTRY > chunkCreator.getChunkSize()) {
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// allocate more index chunks if needed
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idxChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
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idxChunk = chunkCreator.getChunk();
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idxBuffer = idxChunk.getData();
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idxOffset = ChunkCreator.SIZEOF_CHUNK_HEADER;
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chunkArray[chunkArrayIdx++] = idxChunk;
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@ -331,10 +331,10 @@ public class TestCellFlatSet {
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// allocate new chunks and use the data JUMBO chunk to hold the full data of the cells
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// and the normal index chunk to hold the cell-representations
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Chunk dataJumboChunk =
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chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP, ChunkType.JUMBO_CHUNK,
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chunkCreator.getChunk(ChunkType.JUMBO_CHUNK,
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smallChunkSize);
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assertTrue(dataJumboChunk.isJumbo());
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Chunk idxChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
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Chunk idxChunk = chunkCreator.getChunk();
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// the array of index chunks to be used as a basis for CellChunkMap
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Chunk[] chunkArray = new Chunk[8]; // according to test currently written 8 is way enough
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int chunkArrayIdx = 0;
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@ -354,7 +354,7 @@ public class TestCellFlatSet {
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// do we have enough space to write the cell-representation on the index chunk?
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if (idxOffset + ClassSize.CELL_CHUNK_MAP_ENTRY > chunkCreator.getChunkSize()) {
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// allocate more index chunks if needed
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idxChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
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idxChunk = chunkCreator.getChunk();
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idxBuffer = idxChunk.getData();
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idxOffset = ChunkCreator.SIZEOF_CHUNK_HEADER;
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chunkArray[chunkArrayIdx++] = idxChunk;
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@ -368,7 +368,7 @@ public class TestCellFlatSet {
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// Jumbo chunks are working only with one cell per chunk, thus always allocate a new jumbo
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// data chunk for next cell
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dataJumboChunk =
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chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP, ChunkType.JUMBO_CHUNK,
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chunkCreator.getChunk(ChunkType.JUMBO_CHUNK,
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smallChunkSize);
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assertTrue(dataJumboChunk.isJumbo());
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dataBuffer = dataJumboChunk.getData();
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@ -312,7 +312,7 @@ public class TestMemStoreChunkPool {
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assertEquals(initialCount, newCreator.getPoolSize());
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assertEquals(0, newCreator.getPoolSize(ChunkType.INDEX_CHUNK));
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Chunk dataChunk = newCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
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Chunk dataChunk = newCreator.getChunk();
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assertTrue(dataChunk.isDataChunk());
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assertTrue(dataChunk.isFromPool());
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assertEquals(initialCount - 1, newCreator.getPoolSize());
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@ -323,7 +323,7 @@ public class TestMemStoreChunkPool {
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// We set ChunkCreator.indexChunkSize to 0, but we want to get a IndexChunk
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try {
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newCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP, ChunkType.INDEX_CHUNK);
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newCreator.getChunk(ChunkType.INDEX_CHUNK);
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fail();
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} catch (IllegalArgumentException e) {
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}
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@ -350,7 +350,7 @@ public class TestMemStoreChunkPool {
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assertEquals(0, newCreator.getPoolSize());
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assertEquals(0, newCreator.getPoolSize(ChunkType.INDEX_CHUNK));
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dataChunk = newCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
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dataChunk = newCreator.getChunk();
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assertTrue(dataChunk.isDataChunk());
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assertTrue(!dataChunk.isFromPool());
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assertEquals(0, newCreator.getPoolSize());
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@ -358,7 +358,7 @@ public class TestMemStoreChunkPool {
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try {
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// We set ChunkCreator.indexChunkSize to 0, but we want to get a IndexChunk
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newCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP, ChunkType.INDEX_CHUNK);
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newCreator.getChunk(ChunkType.INDEX_CHUNK);
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fail();
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} catch (IllegalArgumentException e) {
|
||||
}
|
||||
|
@ -387,14 +387,14 @@ public class TestMemStoreChunkPool {
|
|||
assertEquals(0, newCreator.getPoolSize());
|
||||
assertEquals(initialCount, newCreator.getPoolSize(ChunkType.INDEX_CHUNK));
|
||||
|
||||
dataChunk = newCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
|
||||
dataChunk = newCreator.getChunk();
|
||||
assertTrue(dataChunk.isDataChunk());
|
||||
assertTrue(!dataChunk.isFromPool());
|
||||
assertEquals(0, newCreator.getPoolSize());
|
||||
assertEquals(initialCount, newCreator.getPoolSize(ChunkType.INDEX_CHUNK));
|
||||
|
||||
Chunk indexChunk =
|
||||
newCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP, ChunkType.INDEX_CHUNK);
|
||||
newCreator.getChunk(ChunkType.INDEX_CHUNK);
|
||||
assertEquals(0, newCreator.getPoolSize());
|
||||
assertEquals(initialCount - 1, newCreator.getPoolSize(ChunkType.INDEX_CHUNK));
|
||||
assertTrue(indexChunk.isIndexChunk());
|
||||
|
@ -415,10 +415,10 @@ public class TestMemStoreChunkPool {
|
|||
// Test both dataChunksPool and indexChunksPool are not null
|
||||
assertTrue(ChunkCreator.getInstance().getDataChunksPool() != null);
|
||||
assertTrue(ChunkCreator.getInstance().getIndexChunksPool() != null);
|
||||
Chunk dataChunk = ChunkCreator.getInstance().getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
|
||||
Chunk dataChunk = ChunkCreator.getInstance().getChunk();
|
||||
assertTrue(dataChunk.isDataChunk());
|
||||
assertTrue(dataChunk.isFromPool());
|
||||
Chunk indexChunk = ChunkCreator.getInstance().getChunk(CompactingMemStore.IndexType.CHUNK_MAP,
|
||||
Chunk indexChunk = ChunkCreator.getInstance().getChunk(
|
||||
ChunkType.INDEX_CHUNK);
|
||||
assertTrue(indexChunk.isIndexChunk());
|
||||
assertTrue(indexChunk.isFromPool());
|
||||
|
|
|
@ -39,6 +39,7 @@ import org.apache.hadoop.hbase.KeyValue;
|
|||
import org.apache.hadoop.hbase.MultithreadedTestUtil;
|
||||
import org.apache.hadoop.hbase.MultithreadedTestUtil.TestThread;
|
||||
import org.apache.hadoop.hbase.io.util.MemorySizeUtil;
|
||||
import org.apache.hadoop.hbase.regionserver.ChunkCreator.ChunkType;
|
||||
import org.apache.hadoop.hbase.testclassification.MediumTests;
|
||||
import org.apache.hadoop.hbase.testclassification.RegionServerTests;
|
||||
import org.apache.hadoop.hbase.util.Bytes;
|
||||
|
@ -298,6 +299,37 @@ public class TestMemStoreLAB {
|
|||
.currentTime(), bigValue);
|
||||
assertEquals(bigKV.getSerializedSize(),
|
||||
mslab.forceCopyOfBigCellInto(bigKV).getSerializedSize());
|
||||
|
||||
/**
|
||||
* Add test by HBASE-26576,all the chunks are in {@link ChunkCreator#chunkIdMap}
|
||||
*/
|
||||
assertTrue(mslab.chunks.size() == 2);
|
||||
Chunk dataChunk = null;
|
||||
Chunk jumboChunk = null;
|
||||
|
||||
for (Integer chunkId : mslab.chunks) {
|
||||
Chunk chunk = ChunkCreator.getInstance().getChunk(chunkId);
|
||||
assertTrue(chunk != null);
|
||||
if (chunk.getChunkType() == ChunkType.JUMBO_CHUNK) {
|
||||
jumboChunk = chunk;
|
||||
} else if (chunk.getChunkType() == ChunkType.DATA_CHUNK) {
|
||||
dataChunk = chunk;
|
||||
}
|
||||
}
|
||||
|
||||
assertTrue(dataChunk != null);
|
||||
assertTrue(jumboChunk != null);
|
||||
|
||||
mslab.close();
|
||||
/**
|
||||
* After mslab close, jumboChunk is removed from {@link ChunkCreator#chunkIdMap} but because
|
||||
* dataChunk is recycled to pool so it is still in {@link ChunkCreator#chunkIdMap}.
|
||||
*/
|
||||
assertTrue(ChunkCreator.getInstance().getChunk(jumboChunk.getId()) == null);
|
||||
assertTrue(!ChunkCreator.getInstance().isChunkInPool(jumboChunk.getId()));
|
||||
assertTrue(ChunkCreator.getInstance().getChunk(dataChunk.getId()) == dataChunk);
|
||||
assertTrue(ChunkCreator.getInstance().isChunkInPool(dataChunk.getId()));
|
||||
|
||||
}
|
||||
|
||||
private Thread getChunkQueueTestThread(final MemStoreLABImpl mslab, String threadName,
|
||||
|
|
Loading…
Reference in New Issue