HBASE-22612 Address the final overview reviewing comments of HBASE-21879
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@ -26,8 +26,6 @@ import java.util.concurrent.ConcurrentLinkedQueue;
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import java.util.concurrent.atomic.AtomicInteger;
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import java.util.concurrent.atomic.LongAdder;
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import sun.nio.ch.DirectBuffer;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.hbase.HConstants;
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import org.apache.hadoop.hbase.nio.ByteBuff;
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@ -38,6 +36,8 @@ import org.slf4j.LoggerFactory;
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import org.apache.hbase.thirdparty.com.google.common.annotations.VisibleForTesting;
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import sun.nio.ch.DirectBuffer;
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/**
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* ByteBuffAllocator is used for allocating/freeing the ByteBuffers from/to NIO ByteBuffer pool, and
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* it provide high-level interfaces for upstream. when allocating desired memory size, it will
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@ -41,7 +41,7 @@ import org.slf4j.LoggerFactory;
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public class ByteBufferListOutputStream extends ByteBufferOutputStream {
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private static final Logger LOG = LoggerFactory.getLogger(ByteBufferListOutputStream.class);
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private ByteBuffAllocator allocator;
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private final ByteBuffAllocator allocator;
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// Keep track of the BBs where bytes written to. We will first try to get a BB from the pool. If
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// it is not available will make a new one our own and keep writing to that. We keep track of all
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// the BBs that we got from pool, separately so that on closeAndPutbackBuffers, we can make sure
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@ -193,8 +193,8 @@ public class HFileContext implements HeapSize, Cloneable {
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}
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/**
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* HeapSize implementation. NOTE : The heapsize should be altered as and when new state variable
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* are added
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* HeapSize implementation. NOTE : The heap size should be altered when new state variable are
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* added.
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* @return heap size of the HFileContext
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*/
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@Override
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@ -26,7 +26,7 @@ import org.apache.hbase.thirdparty.io.netty.util.ReferenceCounted;
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/**
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* Maintain an reference count integer inside to track life cycle of {@link ByteBuff}, if the
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* reference count become 0, it'll call {@link Recycler#free()} once.
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* reference count become 0, it'll call {@link Recycler#free()} exactly once.
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*/
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@InterfaceAudience.Private
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public class RefCnt extends AbstractReferenceCounted {
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@ -36,8 +36,8 @@ public class RefCnt extends AbstractReferenceCounted {
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/**
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* Create an {@link RefCnt} with an initial reference count = 1. If the reference count become
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* zero, the recycler will do nothing. Usually, an Heap {@link ByteBuff} will use this kind of
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* refCnt to track its life cycle, it help to abstract the code path although it's meaningless to
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* use an refCnt for heap ByteBuff.
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* refCnt to track its life cycle, it help to abstract the code path although it's not really
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* needed to track on heap ByteBuff.
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*/
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public static RefCnt create() {
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return new RefCnt(ByteBuffAllocator.NONE);
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@ -920,7 +920,8 @@ public class HFileReaderImpl implements HFile.Reader, Configurable {
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}
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if (block.getOffset() < 0) {
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releaseIfNotCurBlock(block);
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throw new IOException("Invalid block file offset: " + block + ", path=" + reader.getPath());
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throw new IOException(
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"Invalid block file offset: " + block + ", path=" + reader.getPath());
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}
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// We are reading the next block without block type validation, because
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// it might turn out to be a non-data block.
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@ -1131,7 +1132,8 @@ public class HFileReaderImpl implements HFile.Reader, Configurable {
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isCompaction, true, BlockType.DATA, getEffectiveDataBlockEncoding());
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if (newBlock.getOffset() < 0) {
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releaseIfNotCurBlock(newBlock);
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throw new IOException("Invalid block offset: " + newBlock.getOffset() + ", path=" + reader.getPath());
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throw new IOException(
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"Invalid block offset: " + newBlock.getOffset() + ", path=" + reader.getPath());
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}
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updateCurrentBlock(newBlock);
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}
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@ -1339,7 +1341,8 @@ public class HFileReaderImpl implements HFile.Reader, Configurable {
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// schema definition change.
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LOG.info("Evicting cached block with key " + cacheKey
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+ " because of a data block encoding mismatch" + "; expected: "
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+ expectedDataBlockEncoding + ", actual: " + actualDataBlockEncoding + ", path=" + path);
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+ expectedDataBlockEncoding + ", actual: " + actualDataBlockEncoding + ", path="
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+ path);
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// This is an error scenario. so here we need to release the block.
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cachedBlock.release();
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cache.evictBlock(cacheKey);
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@ -1662,8 +1665,8 @@ public class HFileReaderImpl implements HFile.Reader, Configurable {
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short dataBlockEncoderId = newBlock.getDataBlockEncodingId();
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if (!DataBlockEncoding.isCorrectEncoder(dataBlockEncoder, dataBlockEncoderId)) {
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String encoderCls = dataBlockEncoder.getClass().getName();
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throw new CorruptHFileException(
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"Encoder " + encoderCls + " doesn't support data block encoding "
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throw new CorruptHFileException("Encoder " + encoderCls
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+ " doesn't support data block encoding "
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+ DataBlockEncoding.getNameFromId(dataBlockEncoderId) + ",path=" + reader.getPath());
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}
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updateCurrBlockRef(newBlock);
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@ -153,8 +153,14 @@ public class LruBlockCache implements FirstLevelBlockCache {
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private static final String LRU_MAX_BLOCK_SIZE = "hbase.lru.max.block.size";
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private static final long DEFAULT_MAX_BLOCK_SIZE = 16L * 1024L * 1024L;
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/** Concurrent map (the cache) */
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private transient final Map<BlockCacheKey, LruCachedBlock> map;
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/**
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* Defined the cache map as {@link ConcurrentHashMap} here, because in
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* {@link LruBlockCache#getBlock}, we need to guarantee the atomicity of map#computeIfPresent
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* (key, func). Besides, the func method must execute exactly once only when the key is present
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* and under the lock context, otherwise the reference count will be messed up. Notice that the
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* {@link java.util.concurrent.ConcurrentSkipListMap} can not guarantee that.
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*/
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private transient final ConcurrentHashMap<BlockCacheKey, LruCachedBlock> map;
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/** Eviction lock (locked when eviction in process) */
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private transient final ReentrantLock evictionLock = new ReentrantLock(true);
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@ -140,7 +140,7 @@ public class BucketCache implements BlockCache, HeapSize {
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transient final RAMCache ramCache;
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// In this map, store the block's meta data like offset, length
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@VisibleForTesting
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transient ConcurrentMap<BlockCacheKey, BucketEntry> backingMap;
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transient ConcurrentHashMap<BlockCacheKey, BucketEntry> backingMap;
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/**
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* Flag if the cache is enabled or not... We shut it off if there are IO
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@ -1524,7 +1524,16 @@ public class BucketCache implements BlockCache, HeapSize {
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* Wrapped the delegate ConcurrentMap with maintaining its block's reference count.
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*/
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static class RAMCache {
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final ConcurrentMap<BlockCacheKey, RAMQueueEntry> delegate = new ConcurrentHashMap<>();
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/**
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* Defined the map as {@link ConcurrentHashMap} explicitly here, because in
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* {@link RAMCache#get(BlockCacheKey)} and
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* {@link RAMCache#putIfAbsent(BlockCacheKey, RAMQueueEntry)} , we need to guarantee the
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* atomicity of map#computeIfPresent(key, func) and map#putIfAbsent(key, func). Besides, the
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* func method can execute exactly once only when the key is present(or absent) and under the
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* lock context. Otherwise, the reference count of block will be messed up. Notice that the
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* {@link java.util.concurrent.ConcurrentSkipListMap} can not guarantee that.
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*/
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final ConcurrentHashMap<BlockCacheKey, RAMQueueEntry> delegate = new ConcurrentHashMap<>();
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public boolean containsKey(BlockCacheKey key) {
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return delegate.containsKey(key);
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@ -223,7 +223,7 @@ public class CacheTestUtils {
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public static class ByteArrayCacheable implements Cacheable {
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static final CacheableDeserializer<Cacheable> blockDeserializer =
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private static final CacheableDeserializer<Cacheable> blockDeserializer =
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new CacheableDeserializer<Cacheable>() {
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@Override
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public int getDeserializerIdentifier() {
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@ -234,7 +234,7 @@ public class CacheTestUtils {
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public Cacheable deserialize(ByteBuff b, ByteBuffAllocator alloc) throws IOException {
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int len = b.getInt();
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Thread.yield();
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byte buf[] = new byte[len];
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byte[] buf = new byte[len];
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b.get(buf);
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return new ByteArrayCacheable(buf);
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}
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@ -51,9 +51,9 @@ import org.apache.hadoop.hbase.io.hfile.HFileContext;
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import org.apache.hadoop.hbase.io.hfile.HFileContextBuilder;
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import org.apache.hadoop.hbase.io.hfile.bucket.BucketAllocator.BucketSizeInfo;
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import org.apache.hadoop.hbase.io.hfile.bucket.BucketAllocator.IndexStatistics;
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import org.apache.hadoop.hbase.nio.ByteBuff;
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import org.apache.hadoop.hbase.io.hfile.bucket.BucketCache.RAMCache;
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import org.apache.hadoop.hbase.io.hfile.bucket.BucketCache.RAMQueueEntry;
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import org.apache.hadoop.hbase.nio.ByteBuff;
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import org.apache.hadoop.hbase.testclassification.IOTests;
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import org.apache.hadoop.hbase.testclassification.MediumTests;
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import org.junit.After;
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@ -101,11 +101,13 @@ public class TestMobWithByteBuffAllocator {
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int rows = 0;
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try (Table table = UTIL.getConnection().getTable(tableName)) {
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try (ResultScanner scanner = table.getScanner(new Scan().setReversed(true))) {
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for (Result res; (res = scanner.next()) != null;) {
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Result res = scanner.next();
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while (res != null) {
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rows++;
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for (Cell cell : res.listCells()) {
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Assert.assertTrue(CellUtil.cloneValue(cell).length > 0);
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}
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res = scanner.next();
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}
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}
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}
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