hbase mob table can't be compacted when i create table like that: 'create 'STK_CN_TICK', {NAME => 'F1', IS_MOB => true, MOB_THRESHOLD => 102400, COMPRESSION => 'SNAPPY'}'， i throw error as below, anyone know why? thanks in advance. 2017-05-12 09:02:10,702 ERROR org.apache.hadoop.hbase.regionserver.CompactSplitThread: Compaction failed Request = regionName=STK_CN_TICK,,1494491735148.b83abc69490b43880eeafc7719fb0ad6., storeName=F1, fileCount=8, fileSize=6.8 M (43.9 K, 6.7 M, 8.4 K, 8.4 K, 8.4 K, 8.4 K, 8.4 K, 8.4 K), priority=52, time=20100914653448309 java.lang.IllegalArgumentException: The scanner should be an instance of MobCompactionStoreScanner at org.apache.hadoop.hbase.mob.DefaultMobCompactor.performCompaction(DefaultMobCompactor.java:150) at org.apache.hadoop.hbase.regionserver.compactions.DefaultCompactor.compact(DefaultCompactor.java:105) at org.apache.hadoop.hbase.regionserver.DefaultStoreEngine$DefaultCompactionContext.compact(DefaultStoreEngine.java:124) at org.apache.hadoop.hbase.regionserver.HStore.compact(HStore.java:1233) at org.apache.hadoop.hbase.regionserver.HMobStore.compact(HMobStore.java:495) at org.apache.hadoop.hbase.regionserver.HRegion.compact(HRegion.java:1742) at org.apache.hadoop.hbase.regionserver.CompactSplitThread$CompactionRunner.run(CompactSplitThread.java:520) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) ... View more

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # The configuration file needs to define the sources, # the channels and the sinks. # Sources, channels and sinks are defined per collector1, # in this case called 'collector1' collector1.sources = src_avro_c1 collector1.channels = ch_file ch_mem collector1.sinks = sink_hdfs sink_spark # For each one of the sources, the type is defined collector1.sources.src_avro_c1.type = avro collector1.sources.src_avro_c1.bind= 0.0.0.0 collector1.sources.src_avro_c1.port= 41414 # The channel can be defined as follows. collector1.sources.src_avro_c1.channels = ch_file ch_mem collector1.sources.src_avro_c1.selector.type = replicating # Each sink's type must be defined collector1.sinks.sink_hdfs.type = hdfs #collector1.sinks.sink_hdfs.type = logger collector1.sinks.sink_hdfs.hdfs.path = hdfs://XXXXXXXXX:8020/staging/%{app.name}/%Y-%m-%d collector1.sinks.sink_hdfs.hdfs.filePrefix=events.%{app.source.host}.%{app.event.type}.%Y%m%d%H%M%S collector1.sinks.sink_hdfs.hdfs.fileSuffix=.log collector1.sinks.sink_hdfs.hdfs.inUsePrefix = . collector1.sinks.sink_hdfs.hdfs.maxOpenFiles = 5000 collector1.sinks.sink_hdfs.hdfs.batchSize= 1000 collector1.sinks.sink_hdfs.hdfs.fileType = DataStream collector1.sinks.sink_hdfs.hdfs.writeFormat =Text collector1.sinks.sink_hdfs.hdfs.rollSize = 2048000000 collector1.sinks.sink_hdfs.hdfs.rollCount = 0 collector1.sinks.sink_hdfs.hdfs.rollInterval = 3600 collector1.sinks.sink_hdfs.hdfs.round = true collector1.sinks.sink_hdfs.hdfs.roundValue = 1 collector1.sinks.sink_hdfs.hdfs.roundUnit = hour collector1.sinks.sink_hdfs.hdfs.useLocalTimeStamp = true #Specify the channel the sink should use collector1.sinks.sink_hdfs.channel = ch_file # sink_spark collector1.sinks.sink_spark.type = org.apache.spark.streaming.flume.sink.SparkSink collector1.sinks.sink_spark.hostname = hadoop-2 collector1.sinks.sink_spark.port = 50001 collector1.sinks.sink_spark.channel= ch_mem # Each channel's type is defined. collector1.channels.ch_file.type = file collector1.channels.ch_file.checkpointDIR = /data/01flume/checkpoint collector1.channels.ch_file.dataDirs = /data01/flume/data # Other config values specific to each type of channel(sink or source) # can be defined as well # In this case, it specifies the capacity of the memory channel collector1.channels.ch_mem.type= memory collector1.channels.ch_mem.capacity = 1000000 collector1.channels.ch_mem.transactionCapacity = 1000000   ... View more