HBASE-18232 Jumbo Chunks support for the future CellChunkMap index usage
This commit is contained in:
parent
143e4949fe
commit
80a9bf0eb6
|
@ -85,6 +85,10 @@ public abstract class Chunk {
|
|||
return this.fromPool;
|
||||
}
|
||||
|
||||
boolean isJumbo() {
|
||||
return size > ChunkCreator.getInstance().getChunkSize();
|
||||
}
|
||||
|
||||
/**
|
||||
* Actually claim the memory for this chunk. This should only be called from the thread that
|
||||
* constructed the chunk. It is thread-safe against other threads calling alloc(), who will block
|
||||
|
|
|
@ -111,17 +111,27 @@ public class ChunkCreator {
|
|||
* @return the chunk that was initialized
|
||||
*/
|
||||
Chunk getChunk() {
|
||||
return getChunk(CompactingMemStore.IndexType.ARRAY_MAP);
|
||||
return getChunk(CompactingMemStore.IndexType.ARRAY_MAP, chunkSize);
|
||||
}
|
||||
|
||||
/**
|
||||
* Creates and inits a chunk. The default implementation for specific index type.
|
||||
* @return the chunk that was initialized
|
||||
*/
|
||||
Chunk getChunk(CompactingMemStore.IndexType chunkIndexType) {
|
||||
return getChunk(chunkIndexType, chunkSize);
|
||||
}
|
||||
|
||||
/**
|
||||
* Creates and inits a chunk.
|
||||
* @return the chunk that was initialized
|
||||
* @param chunkIndexType whether the requested chunk is going to be used with CellChunkMap index
|
||||
* @param size the size of the chunk to be allocated, in bytes
|
||||
*/
|
||||
Chunk getChunk(CompactingMemStore.IndexType chunkIndexType) {
|
||||
Chunk getChunk(CompactingMemStore.IndexType chunkIndexType, int size) {
|
||||
Chunk chunk = null;
|
||||
if (pool != null) {
|
||||
// if we have pool and this is not jumbo chunk (when size != chunkSize this is jumbo chunk)
|
||||
if ((pool != null) && (size == chunkSize)) {
|
||||
// the pool creates the chunk internally. The chunk#init() call happens here
|
||||
chunk = this.pool.getChunk();
|
||||
// the pool has run out of maxCount
|
||||
|
@ -133,9 +143,9 @@ public class ChunkCreator {
|
|||
}
|
||||
}
|
||||
if (chunk == null) {
|
||||
// the second boolean parameter means:
|
||||
// if CellChunkMap index is requested, put allocated on demand chunk mapping into chunkIdMap
|
||||
chunk = createChunk(false, chunkIndexType);
|
||||
// the second parameter explains whether CellChunkMap index is requested,
|
||||
// in that case, put allocated on demand chunk mapping into chunkIdMap
|
||||
chunk = createChunk(false, chunkIndexType, size);
|
||||
}
|
||||
|
||||
// now we need to actually do the expensive memory allocation step in case of a new chunk,
|
||||
|
@ -144,21 +154,38 @@ public class ChunkCreator {
|
|||
return chunk;
|
||||
}
|
||||
|
||||
/**
|
||||
* Creates and inits a chunk of a special size, bigger than a regular chunk size.
|
||||
* Such a chunk will never come from pool and will always be on demand allocated.
|
||||
* @return the chunk that was initialized
|
||||
* @param chunkIndexType whether the requested chunk is going to be used with CellChunkMap index
|
||||
* @param jumboSize the special size to be used
|
||||
*/
|
||||
Chunk getJumboChunk(CompactingMemStore.IndexType chunkIndexType, int jumboSize) {
|
||||
if (jumboSize <= chunkSize) {
|
||||
LOG.warn("Jumbo chunk size " + jumboSize + " must be more than regular chunk size "
|
||||
+ chunkSize + ". Converting to regular chunk.");
|
||||
getChunk(chunkIndexType,chunkSize);
|
||||
}
|
||||
return getChunk(chunkIndexType, jumboSize);
|
||||
}
|
||||
|
||||
/**
|
||||
* Creates the chunk either onheap or offheap
|
||||
* @param pool indicates if the chunks have to be created which will be used by the Pool
|
||||
* @param chunkIndexType
|
||||
* @param chunkIndexType whether the requested chunk is going to be used with CellChunkMap index
|
||||
* @param size the size of the chunk to be allocated, in bytes
|
||||
* @return the chunk
|
||||
*/
|
||||
private Chunk createChunk(boolean pool, CompactingMemStore.IndexType chunkIndexType) {
|
||||
private Chunk createChunk(boolean pool, CompactingMemStore.IndexType chunkIndexType, int size) {
|
||||
Chunk chunk = null;
|
||||
int id = chunkID.getAndIncrement();
|
||||
assert id > 0;
|
||||
// do not create offheap chunk on demand
|
||||
if (pool && this.offheap) {
|
||||
chunk = new OffheapChunk(chunkSize, id, pool);
|
||||
chunk = new OffheapChunk(size, id, pool);
|
||||
} else {
|
||||
chunk = new OnheapChunk(chunkSize, id, pool);
|
||||
chunk = new OnheapChunk(size, id, pool);
|
||||
}
|
||||
if (pool || (chunkIndexType == CompactingMemStore.IndexType.CHUNK_MAP)) {
|
||||
// put the pool chunk into the chunkIdMap so it is not GC-ed
|
||||
|
@ -167,6 +194,12 @@ public class ChunkCreator {
|
|||
return chunk;
|
||||
}
|
||||
|
||||
// Chunks from pool are created covered with strong references anyway
|
||||
// TODO: change to CHUNK_MAP if it is generally defined
|
||||
private Chunk createChunkForPool() {
|
||||
return createChunk(true, CompactingMemStore.IndexType.ARRAY_MAP, chunkSize);
|
||||
}
|
||||
|
||||
@VisibleForTesting
|
||||
// Used to translate the ChunkID into a chunk ref
|
||||
Chunk getChunk(int id) {
|
||||
|
@ -228,9 +261,7 @@ public class ChunkCreator {
|
|||
this.poolSizePercentage = poolSizePercentage;
|
||||
this.reclaimedChunks = new LinkedBlockingQueue<>();
|
||||
for (int i = 0; i < initialCount; i++) {
|
||||
// Chunks from pool are covered with strong references anyway
|
||||
// TODO: change to CHUNK_MAP if it is generally defined
|
||||
Chunk chunk = createChunk(true, CompactingMemStore.IndexType.ARRAY_MAP);
|
||||
Chunk chunk = createChunkForPool();
|
||||
chunk.init();
|
||||
reclaimedChunks.add(chunk);
|
||||
}
|
||||
|
@ -262,8 +293,7 @@ public class ChunkCreator {
|
|||
long created = this.chunkCount.get();
|
||||
if (created < this.maxCount) {
|
||||
if (this.chunkCount.compareAndSet(created, created + 1)) {
|
||||
// TODO: change to CHUNK_MAP if it is generally defined
|
||||
chunk = createChunk(true, CompactingMemStore.IndexType.ARRAY_MAP);
|
||||
chunk = createChunkForPool();
|
||||
break;
|
||||
}
|
||||
} else {
|
||||
|
@ -434,7 +464,14 @@ public class ChunkCreator {
|
|||
// this translation will (most likely) return null
|
||||
Chunk chunk = ChunkCreator.this.getChunk(chunkID);
|
||||
if (chunk != null) {
|
||||
pool.putbackChunks(chunk);
|
||||
// Jumbo chunks are covered with chunkIdMap, but are not from pool, so such a chunk should
|
||||
// be released here without going to pool.
|
||||
// Removing them from chunkIdMap will cause their removal by the GC.
|
||||
if (chunk.isJumbo()) {
|
||||
this.removeChunk(chunkID);
|
||||
} else {
|
||||
pool.putbackChunks(chunk);
|
||||
}
|
||||
}
|
||||
// if chunk is null, it was never covered by the chunkIdMap (and so wasn't in pool also),
|
||||
// so we have nothing to do on its release
|
||||
|
|
|
@ -45,15 +45,34 @@ public class ImmutableMemStoreLAB implements MemStoreLAB {
|
|||
throw new IllegalStateException("This is an Immutable MemStoreLAB.");
|
||||
}
|
||||
|
||||
/* Creating chunk to be used as index chunk in CellChunkMap, part of the chunks array.
|
||||
** Returning a new chunk, without replacing current chunk,
|
||||
** meaning MSLABImpl does not make the returned chunk as CurChunk.
|
||||
** The space on this chunk will be allocated externally.
|
||||
** The interface is only for external callers
|
||||
*/
|
||||
@Override
|
||||
// returning a new chunk, without replacing current chunk,
|
||||
// the space on this chunk will be allocated externally
|
||||
// use the first MemStoreLABImpl in the list
|
||||
public Chunk getNewExternalChunk() {
|
||||
MemStoreLAB mslab = this.mslabs.get(0);
|
||||
return mslab.getNewExternalChunk();
|
||||
}
|
||||
|
||||
/* Creating chunk to be used as data chunk in CellChunkMap.
|
||||
** This chunk is bigger the normal constant chunk size, and thus called JumboChunk it is used for
|
||||
** jumbo cells (which size is bigger than normal chunks).
|
||||
** Jumbo Chunks are needed only for CCM and thus are created only in
|
||||
** CompactingMemStore.IndexType.CHUNK_MAP type.
|
||||
** Returning a new chunk, without replacing current chunk,
|
||||
** meaning MSLABImpl does not make the returned chunk as CurChunk.
|
||||
** The space on this chunk will be allocated externally.
|
||||
** The interface is only for external callers
|
||||
*/
|
||||
@Override
|
||||
public Chunk getNewExternalJumboChunk(int size) {
|
||||
MemStoreLAB mslab = this.mslabs.get(0);
|
||||
return mslab.getNewExternalJumboChunk(size);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void close() {
|
||||
// 'openScannerCount' here tracks the scanners opened on segments which directly refer to this
|
||||
|
|
|
@ -83,12 +83,26 @@ public interface MemStoreLAB {
|
|||
*/
|
||||
void decScannerCount();
|
||||
|
||||
/**
|
||||
* Return a new empty chunk without considering this chunk as current
|
||||
* The space on this chunk will be allocated externally
|
||||
*/
|
||||
/* Creating chunk to be used as index chunk in CellChunkMap, part of the chunks array.
|
||||
** Returning a new chunk, without replacing current chunk,
|
||||
** meaning MSLABImpl does not make the returned chunk as CurChunk.
|
||||
** The space on this chunk will be allocated externally.
|
||||
** The interface is only for external callers
|
||||
*/
|
||||
Chunk getNewExternalChunk();
|
||||
|
||||
/* Creating chunk to be used as data chunk in CellChunkMap.
|
||||
** This chunk is bigger the normal constant chunk size, and thus called JumboChunk it is used for
|
||||
** jumbo cells (which size is bigger than normal chunks).
|
||||
** Jumbo Chunks are needed only for CCM and thus are created only in
|
||||
** CompactingMemStore.IndexType.CHUNK_MAP type.
|
||||
** Returning a new chunk, without replacing current chunk,
|
||||
** meaning MSLABImpl does not make the returned chunk as CurChunk.
|
||||
** The space on this chunk will be allocated externally.
|
||||
** The interface is only for external callers
|
||||
*/
|
||||
Chunk getNewExternalJumboChunk(int size);
|
||||
|
||||
public static MemStoreLAB newInstance(Configuration conf) {
|
||||
MemStoreLAB memStoreLAB = null;
|
||||
if (isEnabled(conf)) {
|
||||
|
|
|
@ -264,6 +264,26 @@ public class MemStoreLABImpl implements MemStoreLAB {
|
|||
return c;
|
||||
}
|
||||
|
||||
/* Creating chunk to be used as data chunk in CellChunkMap.
|
||||
** This chunk is bigger than normal constant chunk size, and thus called JumboChunk.
|
||||
** JumboChunk is used for jumbo cell (which size is bigger than normal chunk). It is allocated
|
||||
** once per cell. So even if there is space this is not reused.
|
||||
** Jumbo Chunks are used only for CCM and thus are created only in
|
||||
** CompactingMemStore.IndexType.CHUNK_MAP type.
|
||||
** Returning a new chunk, without replacing current chunk,
|
||||
** meaning MSLABImpl does not make the returned chunk as CurChunk.
|
||||
** The space on this chunk will be allocated externally.
|
||||
** The interface is only for external callers
|
||||
*/
|
||||
@Override
|
||||
public Chunk getNewExternalJumboChunk(int size) {
|
||||
// the new chunk is going to hold the jumbo cell data and need to be referenced by a strong map
|
||||
// thus giving the CCM index type
|
||||
Chunk c = this.chunkCreator.getJumboChunk(CompactingMemStore.IndexType.CHUNK_MAP, size);
|
||||
chunks.add(c.getId());
|
||||
return c;
|
||||
}
|
||||
|
||||
@VisibleForTesting
|
||||
Chunk getCurrentChunk() {
|
||||
return this.curChunk.get();
|
||||
|
|
|
@ -58,6 +58,7 @@ public class TestCellFlatSet extends TestCase {
|
|||
return new Object[] { "SMALL_CHUNKS", "NORMAL_CHUNKS" }; // test with different chunk sizes
|
||||
}
|
||||
private static final int NUM_OF_CELLS = 4;
|
||||
private static final int SMALL_CHUNK_SIZE = 64;
|
||||
private Cell ascCells[];
|
||||
private CellArrayMap ascCbOnHeap;
|
||||
private Cell descCells[];
|
||||
|
@ -69,8 +70,7 @@ public class TestCellFlatSet extends TestCase {
|
|||
|
||||
private CellChunkMap ascCCM; // for testing ascending CellChunkMap with one chunk in array
|
||||
private CellChunkMap descCCM; // for testing descending CellChunkMap with one chunk in array
|
||||
private CellChunkMap ascMultCCM; // testing ascending CellChunkMap with multiple chunks in array
|
||||
private CellChunkMap descMultCCM;// testing descending CellChunkMap with multiple chunks in array
|
||||
private final boolean smallChunks;
|
||||
private static ChunkCreator chunkCreator;
|
||||
|
||||
|
||||
|
@ -81,12 +81,13 @@ public class TestCellFlatSet extends TestCase {
|
|||
chunkCreator = ChunkCreator.initialize(MemStoreLABImpl.CHUNK_SIZE_DEFAULT, false,
|
||||
globalMemStoreLimit, 0.2f, MemStoreLAB.POOL_INITIAL_SIZE_DEFAULT, null);
|
||||
assertTrue(chunkCreator != null);
|
||||
smallChunks = false;
|
||||
} else {
|
||||
// chunkCreator with smaller chunk size, so only 3 cell-representations can accommodate a chunk
|
||||
chunkCreator = ChunkCreator.initialize(64, false,
|
||||
chunkCreator = ChunkCreator.initialize(SMALL_CHUNK_SIZE, false,
|
||||
globalMemStoreLimit, 0.2f, MemStoreLAB.POOL_INITIAL_SIZE_DEFAULT, null);
|
||||
assertTrue(chunkCreator != null);
|
||||
|
||||
smallChunks = true;
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -125,9 +126,9 @@ public class TestCellFlatSet extends TestCase {
|
|||
ascCCM = setUpCellChunkMap(true);
|
||||
descCCM = setUpCellChunkMap(false);
|
||||
|
||||
|
||||
// ascMultCCM = setUpCellChunkMap(true);
|
||||
// descMultCCM = setUpCellChunkMap(false);
|
||||
if (smallChunks == true) { // check jumbo chunks as well
|
||||
ascCCM = setUpJumboCellChunkMap(true);
|
||||
}
|
||||
}
|
||||
|
||||
/* Create and test ascending CellSet based on CellArrayMap */
|
||||
|
@ -278,8 +279,8 @@ public class TestCellFlatSet extends TestCase {
|
|||
|
||||
// allocate new chunks and use the data chunk to hold the full data of the cells
|
||||
// and the index chunk to hold the cell-representations
|
||||
Chunk dataChunk = chunkCreator.getChunk();
|
||||
Chunk idxChunk = chunkCreator.getChunk();
|
||||
Chunk dataChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
|
||||
Chunk idxChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
|
||||
// the array of index chunks to be used as a basis for CellChunkMap
|
||||
Chunk chunkArray[] = new Chunk[8]; // according to test currently written 8 is way enough
|
||||
int chunkArrayIdx = 0;
|
||||
|
@ -287,15 +288,16 @@ public class TestCellFlatSet extends TestCase {
|
|||
|
||||
ByteBuffer idxBuffer = idxChunk.getData(); // the buffers of the chunks
|
||||
ByteBuffer dataBuffer = dataChunk.getData();
|
||||
int dataOffset = ChunkCreator.SIZEOF_CHUNK_HEADER; // offset inside data buffer
|
||||
int idxOffset = ChunkCreator.SIZEOF_CHUNK_HEADER; // skip the space for chunk ID
|
||||
int dataOffset = ChunkCreator.SIZEOF_CHUNK_HEADER; // offset inside data buffer
|
||||
int idxOffset = ChunkCreator.SIZEOF_CHUNK_HEADER; // skip the space for chunk ID
|
||||
|
||||
Cell[] cellArray = asc ? ascCells : descCells;
|
||||
|
||||
for (Cell kv: cellArray) {
|
||||
// do we have enough space to write the cell data on the data chunk?
|
||||
if (dataOffset + KeyValueUtil.length(kv) > chunkCreator.getChunkSize()) {
|
||||
dataChunk = chunkCreator.getChunk(); // allocate more data chunks if needed
|
||||
// allocate more data chunks if needed
|
||||
dataChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
|
||||
dataBuffer = dataChunk.getData();
|
||||
dataOffset = ChunkCreator.SIZEOF_CHUNK_HEADER;
|
||||
}
|
||||
|
@ -304,7 +306,8 @@ public class TestCellFlatSet extends TestCase {
|
|||
|
||||
// do we have enough space to write the cell-representation on the index chunk?
|
||||
if (idxOffset + ClassSize.CELL_CHUNK_MAP_ENTRY > chunkCreator.getChunkSize()) {
|
||||
idxChunk = chunkCreator.getChunk(); // allocate more index chunks if needed
|
||||
// allocate more index chunks if needed
|
||||
idxChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
|
||||
idxBuffer = idxChunk.getData();
|
||||
idxOffset = ChunkCreator.SIZEOF_CHUNK_HEADER;
|
||||
chunkArray[chunkArrayIdx++] = idxChunk;
|
||||
|
@ -317,4 +320,53 @@ public class TestCellFlatSet extends TestCase {
|
|||
|
||||
return new CellChunkMap(CellComparatorImpl.COMPARATOR,chunkArray,0,NUM_OF_CELLS,!asc);
|
||||
}
|
||||
|
||||
/* Create CellChunkMap with four cells inside the data jumbo chunk. This test is working only
|
||||
** with small chunks sized SMALL_CHUNK_SIZE (64) bytes */
|
||||
private CellChunkMap setUpJumboCellChunkMap(boolean asc) {
|
||||
int smallChunkSize = SMALL_CHUNK_SIZE+8;
|
||||
// allocate new chunks and use the data JUMBO chunk to hold the full data of the cells
|
||||
// and the normal index chunk to hold the cell-representations
|
||||
Chunk dataJumboChunk =
|
||||
chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP, smallChunkSize);
|
||||
Chunk idxChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
|
||||
// the array of index chunks to be used as a basis for CellChunkMap
|
||||
Chunk[] chunkArray = new Chunk[8]; // according to test currently written 8 is way enough
|
||||
int chunkArrayIdx = 0;
|
||||
chunkArray[chunkArrayIdx++] = idxChunk;
|
||||
|
||||
ByteBuffer idxBuffer = idxChunk.getData(); // the buffers of the chunks
|
||||
ByteBuffer dataBuffer = dataJumboChunk.getData();
|
||||
int dataOffset = ChunkCreator.SIZEOF_CHUNK_HEADER; // offset inside data buffer
|
||||
int idxOffset = ChunkCreator.SIZEOF_CHUNK_HEADER; // skip the space for chunk ID
|
||||
|
||||
Cell[] cellArray = asc ? ascCells : descCells;
|
||||
|
||||
for (Cell kv: cellArray) {
|
||||
int dataStartOfset = dataOffset;
|
||||
dataOffset = KeyValueUtil.appendTo(kv, dataBuffer, dataOffset, false); // write deep cell data
|
||||
|
||||
// do we have enough space to write the cell-representation on the index chunk?
|
||||
if (idxOffset + ClassSize.CELL_CHUNK_MAP_ENTRY > chunkCreator.getChunkSize()) {
|
||||
// allocate more index chunks if needed
|
||||
idxChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP);
|
||||
idxBuffer = idxChunk.getData();
|
||||
idxOffset = ChunkCreator.SIZEOF_CHUNK_HEADER;
|
||||
chunkArray[chunkArrayIdx++] = idxChunk;
|
||||
}
|
||||
// write data chunk id
|
||||
idxOffset = ByteBufferUtils.putInt(idxBuffer, idxOffset, dataJumboChunk.getId());
|
||||
idxOffset = ByteBufferUtils.putInt(idxBuffer, idxOffset, dataStartOfset); // offset
|
||||
idxOffset = ByteBufferUtils.putInt(idxBuffer, idxOffset, KeyValueUtil.length(kv)); // length
|
||||
idxOffset = ByteBufferUtils.putLong(idxBuffer, idxOffset, kv.getSequenceId()); // seqId
|
||||
|
||||
// Jumbo chunks are working only with one cell per chunk, thus always allocate a new jumbo
|
||||
// data chunk for next cell
|
||||
dataJumboChunk = chunkCreator.getChunk(CompactingMemStore.IndexType.CHUNK_MAP,smallChunkSize);
|
||||
dataBuffer = dataJumboChunk.getData();
|
||||
dataOffset = ChunkCreator.SIZEOF_CHUNK_HEADER;
|
||||
}
|
||||
|
||||
return new CellChunkMap(CellComparatorImpl.COMPARATOR,chunkArray,0,NUM_OF_CELLS,!asc);
|
||||
}
|
||||
}
|
||||
|
|
|
@ -817,7 +817,7 @@ public class TestCompactingMemStore extends TestDefaultMemStore {
|
|||
memstore.clearSnapshot(snapshot.getId());
|
||||
}
|
||||
|
||||
private int addRowsByKeys(final AbstractMemStore hmc, String[] keys) {
|
||||
protected int addRowsByKeys(final AbstractMemStore hmc, String[] keys) {
|
||||
byte[] fam = Bytes.toBytes("testfamily");
|
||||
byte[] qf = Bytes.toBytes("testqualifier");
|
||||
long size = hmc.getActive().keySize();
|
||||
|
|
|
@ -98,7 +98,7 @@ public class TestCompactingToCellFlatMapMemStore extends TestCompactingMemStore
|
|||
}
|
||||
|
||||
// test 1 bucket
|
||||
long totalCellsLen = addRowsByKeys(memstore, keys1);
|
||||
long totalCellsLen = addRowsByKeysDataSize(memstore, keys1);
|
||||
long cellBeforeFlushSize = cellBeforeFlushSize();
|
||||
long cellAfterFlushSize = cellAfterFlushSize();
|
||||
long totalHeapSize = MutableSegment.DEEP_OVERHEAD + 4 * cellBeforeFlushSize;
|
||||
|
@ -144,7 +144,7 @@ public class TestCompactingToCellFlatMapMemStore extends TestCompactingMemStore
|
|||
String[] keys1 = { "A", "A", "B", "C" };
|
||||
String[] keys2 = { "A", "B", "D" };
|
||||
|
||||
long totalCellsLen1 = addRowsByKeys(memstore, keys1); // INSERT 4
|
||||
long totalCellsLen1 = addRowsByKeysDataSize(memstore, keys1); // INSERT 4
|
||||
long cellBeforeFlushSize = cellBeforeFlushSize();
|
||||
long cellAfterFlushSize = cellAfterFlushSize();
|
||||
long totalHeapSize1 = MutableSegment.DEEP_OVERHEAD + 4 * cellBeforeFlushSize;
|
||||
|
@ -168,7 +168,7 @@ public class TestCompactingToCellFlatMapMemStore extends TestCompactingMemStore
|
|||
assertEquals(totalCellsLen1, regionServicesForStores.getMemStoreSize());
|
||||
assertEquals(totalHeapSize1, ((CompactingMemStore) memstore).heapSize());
|
||||
|
||||
long totalCellsLen2 = addRowsByKeys(memstore, keys2); // INSERT 3 (3+3=6)
|
||||
long totalCellsLen2 = addRowsByKeysDataSize(memstore, keys2); // INSERT 3 (3+3=6)
|
||||
long totalHeapSize2 = 3 * cellBeforeFlushSize;
|
||||
assertEquals(totalCellsLen1 + totalCellsLen2, regionServicesForStores.getMemStoreSize());
|
||||
assertEquals(totalHeapSize1 + totalHeapSize2, ((CompactingMemStore) memstore).heapSize());
|
||||
|
@ -206,7 +206,7 @@ public class TestCompactingToCellFlatMapMemStore extends TestCompactingMemStore
|
|||
String[] keys2 = { "A", "B", "D" };
|
||||
String[] keys3 = { "D", "B", "B" };
|
||||
|
||||
long totalCellsLen1 = addRowsByKeys(memstore, keys1);
|
||||
long totalCellsLen1 = addRowsByKeysDataSize(memstore, keys1);
|
||||
long cellBeforeFlushSize = cellBeforeFlushSize();
|
||||
long cellAfterFlushSize = cellAfterFlushSize();
|
||||
long totalHeapSize1 = MutableSegment.DEEP_OVERHEAD + 4 * cellBeforeFlushSize;
|
||||
|
@ -227,7 +227,7 @@ public class TestCompactingToCellFlatMapMemStore extends TestCompactingMemStore
|
|||
assertEquals(totalCellsLen1, regionServicesForStores.getMemStoreSize());
|
||||
assertEquals(totalHeapSize1, ((CompactingMemStore) memstore).heapSize());
|
||||
|
||||
long totalCellsLen2 = addRowsByKeys(memstore, keys2);
|
||||
long totalCellsLen2 = addRowsByKeysDataSize(memstore, keys2);
|
||||
long totalHeapSize2 = 3 * cellBeforeFlushSize;
|
||||
|
||||
assertEquals(totalCellsLen1 + totalCellsLen2, regionServicesForStores.getMemStoreSize());
|
||||
|
@ -241,7 +241,7 @@ public class TestCompactingToCellFlatMapMemStore extends TestCompactingMemStore
|
|||
assertEquals(totalCellsLen1 + totalCellsLen2, regionServicesForStores.getMemStoreSize());
|
||||
assertEquals(totalHeapSize1 + totalHeapSize2, ((CompactingMemStore) memstore).heapSize());
|
||||
|
||||
long totalCellsLen3 = addRowsByKeys(memstore, keys3);
|
||||
long totalCellsLen3 = addRowsByKeysDataSize(memstore, keys3);
|
||||
long totalHeapSize3 = 3 * cellBeforeFlushSize;
|
||||
assertEquals(totalCellsLen1 + totalCellsLen2 + totalCellsLen3,
|
||||
regionServicesForStores.getMemStoreSize());
|
||||
|
@ -298,7 +298,7 @@ public class TestCompactingToCellFlatMapMemStore extends TestCompactingMemStore
|
|||
memstore.getConfiguration().set(CompactingMemStore.COMPACTING_MEMSTORE_TYPE_KEY,
|
||||
String.valueOf(compactionType));
|
||||
((MyCompactingMemStore)memstore).initiateType(compactionType, memstore.getConfiguration());
|
||||
addRowsByKeys(memstore, keys1);
|
||||
addRowsByKeysDataSize(memstore, keys1);
|
||||
|
||||
((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline should not compact
|
||||
|
||||
|
@ -307,7 +307,7 @@ public class TestCompactingToCellFlatMapMemStore extends TestCompactingMemStore
|
|||
}
|
||||
assertEquals(0, memstore.getSnapshot().getCellsCount());
|
||||
|
||||
addRowsByKeys(memstore, keys2); // also should only flatten
|
||||
addRowsByKeysDataSize(memstore, keys2); // also should only flatten
|
||||
|
||||
int counter2 = 0;
|
||||
for ( Segment s : memstore.getSegments()) {
|
||||
|
@ -326,7 +326,7 @@ public class TestCompactingToCellFlatMapMemStore extends TestCompactingMemStore
|
|||
}
|
||||
assertEquals(12, counter3);
|
||||
|
||||
addRowsByKeys(memstore, keys3);
|
||||
addRowsByKeysDataSize(memstore, keys3);
|
||||
|
||||
int counter4 = 0;
|
||||
for ( Segment s : memstore.getSegments()) {
|
||||
|
@ -631,7 +631,7 @@ public class TestCompactingToCellFlatMapMemStore extends TestCompactingMemStore
|
|||
System.currentTimeMillis(), val);
|
||||
|
||||
// test 1 bucket
|
||||
long totalCellsLen = addRowsByKeys(memstore, keys1);
|
||||
int totalCellsLen = addRowsByKeys(memstore, keys1);
|
||||
long oneCellOnCSLMHeapSize =
|
||||
ClassSize.align(
|
||||
ClassSize.CONCURRENT_SKIPLISTMAP_ENTRY + KeyValue.FIXED_OVERHEAD + KeyValueUtil
|
||||
|
@ -663,7 +663,8 @@ public class TestCompactingToCellFlatMapMemStore extends TestCompactingMemStore
|
|||
memstore.clearSnapshot(snapshot.getId());
|
||||
}
|
||||
|
||||
private long addRowsByKeys(final AbstractMemStore hmc, String[] keys) {
|
||||
|
||||
private long addRowsByKeysDataSize(final AbstractMemStore hmc, String[] keys) {
|
||||
byte[] fam = Bytes.toBytes("testfamily");
|
||||
byte[] qf = Bytes.toBytes("testqualifier");
|
||||
MemStoreSizing memstoreSizing = new MemStoreSizing();
|
||||
|
|
Loading…
Reference in New Issue