對於2.1.6這個版本，使用協處理器需要引入hbase-common依賴。
協處理器分爲兩種，一種是observer協處理器，一種是endpoint協處理器。
下面首先記錄第一種協處理器的使用步驟。
一、observer協處理器
案例背景
有user和people兩個表，每個表都有一個person列族。現在要實現的是向user表插入“person:name”之前，先將其rowkey插入到people表的“person:lastname”。相當於是二級索引的概念。
步驟
1.修改配置文件hbase-site.xml，保證在協處理器加載和運行出現異常時，regionserver仍然可以提供服務。
<!--解決加載協處理器時報錯：ERROR: org.apache.hadoop.hbase.DoNotRetryIOException-->
<property>
<name>hbase.table.sanity.checks</name>
<value>false</value>
</property>
<!--防止因協處理器啓動失敗，導致regionServer掛掉，從而導致hbase崩潰-->
<property>
<name>hbase.coprocessor.abortonerror</name>
<value>false</value>
</property>
2.首先在當前項目下新建一個模塊hbase-coprocessor，用來開發協處理器。目錄結構如下：
3.開發協處理器邏輯實現類
package com.asn.bigdata.hbase.coprocessor;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CoprocessorEnvironment;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.coprocessor.ObserverContext;
import org.apache.hadoop.hbase.coprocessor.RegionCoprocessor;
import org.apache.hadoop.hbase.coprocessor.RegionCoprocessorEnvironment;
import org.apache.hadoop.hbase.coprocessor.RegionObserver;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.hbase.wal.WALEdit;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.IOException;
import java.util.Optional;
public class PrePutObserver implements RegionObserver, RegionCoprocessor {
private static final Logger logger = LoggerFactory.getLogger(PrePutObserver.class);
private static Configuration conf = null;
private static Connection connection = null;
private static Table table = null;
private RegionCoprocessorEnvironment env = null;
static{
conf = HBaseConfiguration.create();
conf.set("hbase.zookeeper.quorum", "flink1,flink2,flink3");
conf.set("hbase.zookeeper.property.clientPort", "2181");
try {
connection = ConnectionFactory.createConnection(conf);
table = connection.getTable(TableName.valueOf("people"));
} catch (IOException e) {
e.printStackTrace();
}
}
@Override
public void start(CoprocessorEnvironment e) throws IOException {
logger.info("CoprocessorEnvironment............start...........................");
this.env = (RegionCoprocessorEnvironment) e;
}
@Override
public void stop(CoprocessorEnvironment env) throws IOException {
logger.info("CoprocessorEnvironment............stop...........................");
}
/**
* 必須加入該方法，否則可能會報錯
*/
@Override
public Optional<RegionObserver> getRegionObserver() {
return Optional.of(this);
}
@Override
public void prePut(ObserverContext<RegionCoprocessorEnvironment> c, Put put, WALEdit edit, Durability durability) throws IOException {
logger.info("run PrePutObserver............prePut...........................");
try {
byte[] userKey = put.getRow();
Cell cell = put.get(Bytes.toBytes("person"), Bytes.toBytes("name")).get(0);
Put o_put = new Put(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength());
o_put.addColumn(Bytes.toBytes("person"), Bytes.toBytes("lastname"), userKey);
table.put(o_put);
table.close();
} catch (IOException e) {
logger.error(e.getMessage());
throw e;
}
}
}
4.打包放到hdfs
這個東西打包是關鍵，打包方式不正確的話，會導致在掛載協處理器時或執行put操作時報錯。正確的打包步驟如下：
1）依次點擊File->Project Structure->Artifacts->+號->JAR->Empty，進入如下界面，接着按照序號操作
2）依次點擊Build->Build Artifacts->選擇剛纔命名的jar->build進行打包
3）將生成的jar包上傳到hdfs
5.進入hbase shell，首先disable user表
6.給user表加載協處理器
hbase(main):011:0> alter 'user',METHOD => 'table_att','coprocessor' => 'hdfs://flink1:9000/test/hbase/coprocessor/hbase-coprocessor.jar|com.asn.bigdata.hbase.coprocessor.PrePutObserver|1001|'
如果沒有在hbase-site.xml中配置上述配置的話，這裏可能會遇到如下報錯：
ERROR: org.apache.hadoop.hbase.DoNotRetryIOException: hdfs://flink1:9000/test/hbase/coprocessor/d.jar Set hbase.table.sanity.checks to false at conf or table descriptor if you want to bypass sanity checks
at org.apache.hadoop.hbase.master.HMaster.warnOrThrowExceptionForFailure(HMaster.java:2228)
at org.apache.hadoop.hbase.master.HMaster.sanityCheckTableDescriptor(HMaster.java:2075)
at org.apache.hadoop.hbase.master.HMaster.access$200(HMaster.java:246)
at org.apache.hadoop.hbase.master.HMaster$12.run(HMaster.java:2562)
at org.apache.hadoop.hbase.master.procedure.MasterProcedureUtil.submitProcedure(MasterProcedureUtil.java:134)
at org.apache.hadoop.hbase.master.HMaster.modifyTable(HMaster.java:2558)
at org.apache.hadoop.hbase.master.HMaster.modifyTable(HMaster.java:2595)
at org.apache.hadoop.hbase.master.MasterRpcServices.modifyTable(MasterRpcServices.java:1347)
at org.apache.hadoop.hbase.shaded.protobuf.generated.MasterProtos$MasterService$2.callBlockingMethod(MasterProtos.java)
at org.apache.hadoop.hbase.ipc.RpcServer.call(RpcServer.java:413)
at org.apache.hadoop.hbase.ipc.CallRunner.run(CallRunner.java:132)
at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:324)
at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:304)
報錯日誌寫出瞭解決方式，就是在hbase-site.xml中添加以下配置：
<property>
<name>hbase.table.sanity.checks</name>
<value>false</value>
</property>
7.查看user表信息，並enable user表
8.測試
向user表插入數據
hbase(main):011:0> put 'user','0001','person:name','asn'
查看person表內容
hbase(main):011:0> scan 'people'
ROW COLUMN+CELL
wangsen column=person:lastname, timestamp=1581819549421, value=0001
1 row(s)
Took 0.0806 seconds
完成！
二、endpoint協處理器
與Observer類型不同的是，Endpoint協處理器需要與服務器直接通信，服務端是對於Protobuf Service的實現，所以兩者之間會有一個基於protocl的RPC接口，客戶端和服務端都需要進行基於接口的代碼邏輯實現。
案例背景
統計上一篇博客中的user表的記錄數
步驟
1、編寫sum.proto文件
option java_package = "com.asn.bigdata.hbase.protoInterface";
option java_outer_classname = "Sum";
option java_generic_services = true;
option java_generate_equals_and_hash = true;
option optimize_for = SPEED;
message SumRequest {
required string family = 1;
required string column = 2;
}
message SumResponse {
required int64 sum = 1 [default = 0];
}
service SumService {
rpc getSum(SumRequest)
returns (SumResponse);
}
2、編譯
注意，這時候需要保證項目中依賴的protobuf-java的版本與編譯器的版本一致，否則編譯的文件拿到項目中就會報錯。
我這裏項目中是2.5.0的，因此需要下載2.5.0版本的編譯器。官網已經不支持下載這個版本的，可以到我這裏下載。
鏈接：https://pan.baidu.com/s/1LBB4a4rp3iqkyg154O3acw
提取碼：uoqm
下載後解壓 protoc-2.5.0-win32並配置到環境變量中，通過在cmd中運行protoc --version命令查看是否安裝成功。
安裝成功後，將上述statistics.proto文件copy到protoc.exe所在的目錄下，然後在此目錄下進入cmd，運行以下命令生成編譯文件：
E:\MySoftware\protoc-2.5.0-win32>protoc --java_out=./ sum.proto
3.將編譯得到的Sum.java文件拷貝到項目對應的包路徑下
4.編寫邏輯實現類
package com.asn.bigdata.hbase.coprocessor;
import com.asn.bigdata.hbase.protoInterface.Sum;
import com.google.protobuf.RpcCallback;
import com.google.protobuf.RpcController;
import com.google.protobuf.Service;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellUtil;
import org.apache.hadoop.hbase.Coprocessor;
import org.apache.hadoop.hbase.CoprocessorEnvironment;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.coprocessor.CoprocessorException;
import org.apache.hadoop.hbase.coprocessor.CoprocessorService;
import org.apache.hadoop.hbase.coprocessor.RegionCoprocessorEnvironment;
import org.apache.hadoop.hbase.regionserver.InternalScanner;
import org.apache.hadoop.hbase.shaded.protobuf.ResponseConverter;
import org.apache.hadoop.hbase.util.Bytes;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
public class SumEndPoint extends Sum.SumService implements Coprocessor, CoprocessorService {
private RegionCoprocessorEnvironment env;
@Override
public Service getService() {
return this;
}
@Override
public void start(CoprocessorEnvironment env) throws IOException {
if (env instanceof RegionCoprocessorEnvironment) {
this.env = (RegionCoprocessorEnvironment)env;
} else {
throw new CoprocessorException("Must be loaded on a table region!");
}
}
@Override
public void stop(CoprocessorEnvironment env) throws IOException {
// do nothing
}
@Override
public void getSum(RpcController controller, Sum.SumRequest request, RpcCallback<Sum.SumResponse> done) {
Scan scan = new Scan();
scan.addFamily(Bytes.toBytes(request.getFamily()));
scan.addColumn(Bytes.toBytes(request.getFamily()), Bytes.toBytes(request.getColumn()));
Sum.SumResponse response = null;
InternalScanner scanner = null;
try {
scanner = env.getRegion().getScanner(scan);
List<Cell> results = new ArrayList<>();
boolean hasMore = false;
long sum = 0L;
do {
hasMore = scanner.next(results);
for (Cell cell : results) {
sum = sum + Bytes.toLong(CellUtil.cloneValue(cell));
}
results.clear();
} while (hasMore);
response = Sum.SumResponse.newBuilder().setSum(sum).build();
} catch (IOException ioe) {
ResponseConverter.setControllerException(controller, ioe);
} finally {
if (scanner != null) {
try {
scanner.close();
} catch (IOException ignored) {}
}
}
done.run(response);
}
}
5.將實現類SumEndPoint打包放到hdfs
這個過程與上述的observer協處理器一樣
6.disable user
7.掛載這個協處理器
hbase(main):004:0> alter 'user',METHOD => 'table_att','coprocessor' => 'hdfs://flink1:9000/test/hbase/coprocessor/SumEndPoint.jar|com.asn.bigdata.hbase.coprocessor.SumEndPoint|1001|'
Updating all regions with the new schema...
All regions updated.
Done.
Took 1.9677 seconds
hbase(main):005:0> desc 'user'
Table user is DISABLED
user, {TABLE_ATTRIBUTES => {coprocessor$1 => 'hdfs://flink1:9000/test/hbase/coprocessor/hbase-coprocessor.jar|com.as
n.bigdata.hbase.coprocessor.PostObserver|1001|', coprocessor$2 => 'hdfs://flink1:9000/test/hbase/coprocessor/SumEndP
oint.jar|com.asn.bigdata.hbase.coprocessor.SumEndPoint|1001|'}
COLUMN FAMILIES DESCRIPTION
{NAME => 'person', VERSIONS => '1', EVICT_BLOCKS_ON_CLOSE => 'false', NEW_VERSION_BEHAVIOR => 'false', KEEP_DELETED_
CELLS => 'FALSE', CACHE_DATA_ON_WRITE => 'false', DATA_BLOCK_ENCODING => 'NONE', TTL => 'FOREVER', MIN_VERSIONS => '
0', REPLICATION_SCOPE => '0', BLOOMFILTER => 'ROW', CACHE_INDEX_ON_WRITE => 'false', IN_MEMORY => 'false', CACHE_BLO
OMS_ON_WRITE => 'false', PREFETCH_BLOCKS_ON_OPEN => 'false', COMPRESSION => 'NONE', BLOCKCACHE => 'true', BLOCKSIZE
=> '65536'}
1 row(s)
Took 0.0524 seconds
8.enable user
9.編寫客戶端代碼測試
import com.asn.bigdata.hbase.protoInterface.Sum;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.client.coprocessor.Batch;
import org.apache.hadoop.hbase.ipc.CoprocessorRpcUtils;
import org.apache.hbase.thirdparty.com.google.protobuf.ServiceException;
import java.io.IOException;
import java.util.Map;
public class TestEndPoint {
public static void main(String[] args) throws IOException {
Configuration conf = HBaseConfiguration.create();
conf.set("hbase.zookeeper.quorum","flink1,flink2,flink3");
Connection connection = ConnectionFactory.createConnection(conf);
TableName tableName = TableName.valueOf("users");
Table table = connection.getTable(tableName);
final Sum.SumRequest request = Sum.SumRequest.newBuilder().setFamily("salaryDet").setColumn("gross").build();
try {
Map<byte[], Long> results = table.coprocessorService(
Sum.SumService.class,
null, /* start key */
null, /* end key */
new Batch.Call<Sum.SumService, Long>() {
@Override
public Long call(Sum.SumService aggregate) throws IOException {
CoprocessorRpcUtils.BlockingRpcCallback<Sum.SumResponse> rpcCallback = new CoprocessorRpcUtils.BlockingRpcCallback<>();
aggregate.getSum(null, request, rpcCallback);
Sum.SumResponse response = rpcCallback.get();
return response.hasSum() ? response.getSum() : 0L;
}
}
);
for (Long sum : results.values()) {
System.out.println("Sum = " + sum);
}
} catch (ServiceException e) {
e.printStackTrace();
} catch (Throwable e) {
e.printStackTrace();
}
}
}
結果報錯了：
at org.apache.hadoop.hbase.ipc.RemoteWithExtrasException.instantiateException(RemoteWithExtrasException.java:99)
at org.apache.hadoop.hbase.ipc.RemoteWithExtrasException.unwrapRemoteException(RemoteWithExtrasException.java:89)
at org.apache.hadoop.hbase.protobuf.ProtobufUtil.makeIOExceptionOfException(ProtobufUtil.java:282)
at org.apache.hadoop.hbase.protobuf.ProtobufUtil.handleRemoteException(ProtobufUtil.java:269)
at org.apache.hadoop.hbase.client.RegionServerCallable.call(RegionServerCallable.java:129)
at org.apache.hadoop.hbase.client.RpcRetryingCallerImpl.callWithRetries(RpcRetryingCallerImpl.java:107)
... 11 common frames omitted
Caused by: org.apache.hadoop.hbase.ipc.RemoteWithExtrasException: java.io.IOException
at org.apache.hadoop.hbase.ipc.RpcServer.call(RpcServer.java:472)
at org.apache.hadoop.hbase.ipc.CallRunner.run(CallRunner.java:132)
at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:324)
at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:304)
Caused by: java.lang.NullPointerException
at com.asn.bigdata.hbase.coprocessor.SumEndPoint.getSum(SumEndPoint.java:56)
at com.asn.bigdata.hbase.protoInterface.Sum$SumService.callMethod(Sum.java:1267)
at org.apache.hadoop.hbase.regionserver.HRegion.execService(HRegion.java:8230)
at org.apache.hadoop.hbase.regionserver.RSRpcServices.execServiceOnRegion(RSRpcServices.java:2423)
at org.apache.hadoop.hbase.regionserver.RSRpcServices.execService(RSRpcServices.java:2405)
at org.apache.hadoop.hbase.shaded.protobuf.generated.ClientProtos$ClientService$2.callBlockingMethod(ClientProtos.java:42010)
at org.apache.hadoop.hbase.ipc.RpcServer.call(RpcServer.java:413)
... 3 more
at org.apache.hadoop.hbase.ipc.AbstractRpcClient.onCallFinished(AbstractRpcClient.java:387)
at org.apache.hadoop.hbase.ipc.AbstractRpcClient.access$100(AbstractRpcClient.java:95)
at org.apache.hadoop.hbase.ipc.AbstractRpcClient$3.run(AbstractRpcClient.java:410)
at org.apache.hadoop.hbase.ipc.AbstractRpcClient$3.run(AbstractRpcClient.java:406)
at org.apache.hadoop.hbase.ipc.Call.callComplete(Call.java:103)
at org.apache.hadoop.hbase.ipc.Call.setException(Call.java:118)
at org.apache.hadoop.hbase.ipc.NettyRpcDuplexHandler.readResponse(NettyRpcDuplexHandler.java:162)
at org.apache.hadoop.hbase.ipc.NettyRpcDuplexHandler.channelRead(NettyRpcDuplexHandler.java:192)
at org.apache.hbase.thirdparty.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:362)
at org.apache.hbase.thirdparty.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:348)
at org.apache.hbase.thirdparty.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:340)
at org.apache.hbase.thirdparty.io.netty.handler.codec.ByteToMessageDecoder.fireChannelRead(ByteToMessageDecoder.java:310)
at org.apache.hbase.thirdparty.io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:284)
at org.apache.hbase.thirdparty.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:362)
at org.apache.hbase.thirdparty.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:348)
at org.apache.hbase.thirdparty.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:340)
at org.apache.hbase.thirdparty.io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:286)
at org.apache.hbase.thirdparty.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:362)
at org.apache.hbase.thirdparty.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:348)
at org.apache.hbase.thirdparty.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:340)
at org.apache.hbase.thirdparty.io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1359)
at org.apache.hbase.thirdparty.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:362)
at org.apache.hbase.thirdparty.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:348)
at org.apache.hbase.thirdparty.io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:935)
at org.apache.hbase.thirdparty.io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:138)
at org.apache.hbase.thirdparty.io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:645)
at org.apache.hbase.thirdparty.io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:580)
at org.apache.hbase.thirdparty.io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:497)
at org.apache.hbase.thirdparty.io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:459)
at org.apache.hbase.thirdparty.io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
at org.apache.hbase.thirdparty.io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
... 1 common frames omitted
17:00:45.965 [main] WARN org.apache.hadoop.hbase.client.HTable - Error calling coprocessor service com.asn.bigdata.hbase.protoInterface.Sum$SumService for row
java.util.concurrent.ExecutionException: java.lang.NullPointerException
at java.util.concurrent.FutureTask.report(FutureTask.java:122)
at java.util.concurrent.FutureTask.get(FutureTask.java:192)
at org.apache.hadoop.hbase.client.HTable.coprocessorService(HTable.java:1009)
at org.apache.hadoop.hbase.client.HTable.coprocessorService(HTable.java:971)
at TestEndPoint.main(TestEndPoint.java:30)
Caused by: java.lang.NullPointerException: null
at TestEndPoint$1.call(TestEndPoint.java:41)
at TestEndPoint$1.call(TestEndPoint.java:34)
at org.apache.hadoop.hbase.client.HTable$12.call(HTable.java:997)
at java.util.concurrent.FutureTask.run$$$capture(FutureTask.java:266)
at java.util.concurrent.FutureTask.run(FutureTask.java)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
java.lang.NullPointerException
at TestEndPoint$1.call(TestEndPoint.java:41)
at TestEndPoint$1.call(TestEndPoint.java:34)
at org.apache.hadoop.hbase.client.HTable$12.call(HTable.java:997)
at java.util.concurrent.FutureTask.run$$$capture(FutureTask.java:266)
at java.util.concurrent.FutureTask.run(FutureTask.java)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Disconnected from the target VM, address: '127.0.0.1:58377', transport: 'socket'
不知道什麼原因。。。。。。。。
看這個表所在的regionserver的日誌，看到協處理器是成功加載了的
2020-02-19 16:32:01,631 INFO [RS_OPEN_REGION-regionserver/flink1:16020-1] regionserver.RegionCoprocessorHost: Loaded coprocessor com.asn.bigdata.hbase.coprocessor.SumEndPoint from HTD of users successfully.
2020-02-19 16:32:01,642 INFO [StoreOpener-4f388802eee5baa7bca202a3bbd85544-1] hfile.CacheConfig: Created cacheConfig for salaryDet: blockCache=LruBlockCache{blockCount=0, currentSize=71.76 KB, freeSize=94.30 MB, maxSize=94.38 MB, heapSize=71.76 KB, minSize=89.66 MB, minFactor=0.95, multiSize=44.83 MB, multiFactor=0.5, singleSize=22.41 MB, singleFactor=0.25}, cacheDataOnRead=true, cacheDataOnWrite=false, cacheIndexesOnWrite=false, cacheBloomsOnWrite=false, cacheEvictOnClose=false, cacheDataCompressed=false, prefetchOnOpen=false
2020-02-19 16:32:01,642 INFO [StoreOpener-4f388802eee5baa7bca202a3bbd85544-1] compactions.CompactionConfiguration: size [128 MB, 8.00 EB, 8.00 EB); files [3, 10); ratio 1.200000; off-peak ratio 5.000000; throttle point 2684354560; major period 604800000, major jitter 0.500000, min locality to compact 0.000000; tiered compaction: max_age 9223372036854775807, incoming window min 6, compaction policy for tiered window org.apache.hadoop.hbase.regionserver.compactions.ExploringCompactionPolicy, single output for minor true, compaction window factory org.apache.hadoop.hbase.regionserver.compactions.ExponentialCompactionWindowFactory
2020-02-19 16:32:01,653 INFO [StoreOpener-4f388802eee5baa7bca202a3bbd85544-1] regionserver.HStore: Store=salaryDet, memstore type=DefaultMemStore, storagePolicy=HOT, verifyBulkLoads=false, parallelPutCountPrintThreshold=50, encoding=NONE, compression=NONE
2020-02-19 16:32:01,662 INFO [RS_OPEN_REGION-regionserver/flink1:16020-1] regionserver.HRegion: Opened 4f388802eee5baa7bca202a3bbd85544; next sequenceid=5
2020-02-19 16:32:01,677 INFO [PostOpenDeployTasks:4f388802eee5baa7bca202a3bbd85544] regionserver.HRegionServer: Post open deploy tasks for users,,1582101057487.4f388802eee5baa7bca202a3bbd85544.
2020-02-19 16:32:03,338 INFO [LruBlockCacheStatsExecutor] hfile.LruBlockCache: totalSize=71.76 KB, freeSize=94.30 MB, max=94.38 MB, blockCount=0, accesses=0, hits=0, hitRatio=0, cachingAccesses=0, cachingHits=0, cachingHitsRatio=0,evictions=59, evicted=0, evictedPerRun=0.0
2020-02-19 16:32:08,341 INFO [HBase-Metrics2-1] impl.GlobalMetricRegistriesAdapter: Registering RegionServer,sub=Coprocessor.Region.CP_org.apache.hadoop.hbase.coprocessor.CoprocessorServiceBackwardCompatiblity$RegionCoprocessorService Metrics about HBase RegionObservers
2020-02-19 16:32:42,106 INFO [RpcServer.priority.FPBQ.Fifo.handler=15,queue=1,port=16020] regionserver.RSRpcServices: Close 4f388802eee5baa7bca202a3bbd85544, moving to flink2,16020,1582100508543
2020-02-19 16:32:42,150 INFO [RS_CLOSE_REGION-regionserver/flink1:16020-0] regionserver.HRegion: Closed users,,1582101057487.4f388802eee5baa7bca202a3bbd85544.
2020-02-19 16:32:42,150 INFO [RS_CLOSE_REGION-regionserver/flink1:16020-0] regionserver.HRegionServer: Adding 4f388802eee5baa7bca202a3bbd85544 move to flink2,16020,1582100508543 record at close sequenceid=5