我使用的是Cloudera5.16和Hadoop2.6。
我使用importtsv将大型csv文件加载到hbase中。

hbase org.apache.hadoop.hbase.mapreduce.ImportTsv -Dimporttsv.separator=';' -Dimporttsv.columns=HBASE_ROW_KEY,data:name,data:age mynamespace:mytable /path/to/csv/dir/*.csv

我的问题是，不管文件大小如何（我有300k行的文件，其他有1k行的文件），操作需要20到30秒。

19/08/22 15:11:56 INFO mapreduce.Job: Job job_1566288518023_0335 running in uber mode : false
19/08/22 15:11:56 INFO mapreduce.Job:  map 0% reduce 0%
19/08/22 15:12:06 INFO mapreduce.Job:  map 67% reduce 0%
19/08/22 15:12:08 INFO mapreduce.Job:  map 100% reduce 0%
19/08/22 15:12:08 INFO mapreduce.Job: Job job_1566288518023_0335 completed successfully
19/08/22 15:12:08 INFO mapreduce.Job: Counters: 34
        File System Counters
                FILE: Number of bytes read=0
                FILE: Number of bytes written=801303
                FILE: Number of read operations=0
                FILE: Number of large read operations=0
                FILE: Number of write operations=0
                HDFS: Number of bytes read=2709617
                HDFS: Number of bytes written=0
                HDFS: Number of read operations=6
                HDFS: Number of large read operations=0
                HDFS: Number of write operations=0
                HDFS: Number of bytes read erasure-coded=0
        Job Counters
                Launched map tasks=3
                Data-local map tasks=3
                Total time spent by all maps in occupied slots (ms)=25662
                Total time spent by all reduces in occupied slots (ms)=0
                Total time spent by all map tasks (ms)=25662
                Total vcore-milliseconds taken by all map tasks=25662
                Total megabyte-milliseconds taken by all map tasks=26277888
        Map-Reduce Framework
                Map input records=37635
                Map output records=37635
                Input split bytes=531
                Spilled Records=0
                Failed Shuffles=0
                Merged Map outputs=0
                GC time elapsed (ms)=454
                CPU time spent (ms)=14840
                Physical memory (bytes) snapshot=1287696384
                Virtual memory (bytes) snapshot=8280121344
                Total committed heap usage (bytes)=2418540544
                Peak Map Physical memory (bytes)=439844864
                Peak Map Virtual memory (bytes)=2776657920
        ImportTsv
                Bad Lines=0
        File Input Format Counters
                Bytes Read=2709086
        File Output Format Counters
                Bytes Written=0

我已经创建了多个区域（取决于密钥）来分发看跌期权，但它没有改变任何东西。

create 'mynamespace:mytable', {NAME => 'data', COMPRESSION => 'SNAPPY'}, {SPLITS => ['0','1','2','3','4','5']}

有人知道如何优化这个操作吗？
谢谢。