hbase shell查看数据_命令行删除文件夹

hbase shell查看数据_命令行删除文件夹今天比较开心,只想哈哈~哈哈哈~ 啥也不多说了,直接看示例吧!绝对比我口才好~ 哈哈!Get到了吗?好意思不帮我分享嘛~哈哈~ 转载请注明出处!欢迎关注本人微信公众号【HBase工作笔记】

如何在 HBase Shell 命令行正常查看十六进制编码的中文?哈哈~

今天比较开心,只想哈哈哈哈哈
啥也不多说了,直接看示例吧!绝对比我口才好~

hbase(main):050:0> scan "test"
ROW                                              COLUMN+CELL
 row-1                                           column=f:c1, timestamp=1587984555307, value=xE7xA6x85xE5x85x8B
 row-2                                           column=f:c2, timestamp=1587984555307, value=HBasexE8x80x81xE5xBAx97
 row-3                                           column=f:c3, timestamp=1587984555307, value=HBasexE5xB7xA5xE4xBDx9CxE7xACx94xE8xAExB0
 row-4                                           column=f:c4, timestamp=1587984555307, value=xE6x88x91xE7x88xB1xE4xBDxA0xE4xB8xADxE5x9BxBDxEFxBCx81
4 row(s) in 0.0190 seconds

hbase(main):051:0> scan "test", {FORMATTER => "toString"}
ROW                                              COLUMN+CELL
 row-1                                           column=f:c1, timestamp=1587984555307, value=禅克
 row-2                                           column=f:c2, timestamp=1587984555307, value=HBase老店
 row-3                                           column=f:c3, timestamp=1587984555307, value=HBase工作笔记
 row-4                                           column=f:c4, timestamp=1587984555307, value=我爱你中国!
4 row(s) in 0.0170 seconds

hbase(main):052:0> scan "test", {FORMATTER => "toString",LIMIT=>1,COLUMN=>"f:c4"}
ROW                                              COLUMN+CELL
 row-4                                           column=f:c4, timestamp=1587984555307, value=我爱你中国!
1 row(s) in 0.0180 seconds

hbase(main):053:0> scan "test", {FORMATTER_CLASS => "org.apache.hadoop.hbase.util.Bytes", FORMATTER => "toString"}
ROW                                              COLUMN+CELL
 row-1                                           column=f:c1, timestamp=1587984555307, value=禅克
 row-2                                           column=f:c2, timestamp=1587984555307, value=HBase老店
 row-3                                           column=f:c3, timestamp=1587984555307, value=HBase工作笔记
 row-4                                           column=f:c4, timestamp=1587984555307, value=我爱你中国!
4 row(s) in 0.0220 seconds

hbase(main):054:0> scan "test", {FORMATTER_CLASS => "org.apache.hadoop.hbase.util.Bytes", FORMATTER => "toString", COLUMN=>"f:c4"}
ROW                                              COLUMN+CELL
 row-4                                           column=f:c4, timestamp=1587984555307, value=我爱你中国!
1 row(s) in 0.0220 seconds

hbase(main):004:0> scan "test", {COLUMNS => ["f:c1:toString","f:c2:toString"] }
ROW                                              COLUMN+CELL
 row-1                                           column=f:c1, timestamp=1587984555307, value=禅克
 row-2                                           column=f:c2, timestamp=1587984555307, value=HBase老店
2 row(s) in 0.0180 seconds

hbase(main):003:0> scan "test", {COLUMNS => ["f:c1:c(org.apache.hadoop.hbase.util.Bytes).toString","f:c3:c(org.apache.hadoop.hbase.util.Bytes).toString"] }
ROW                                              COLUMN+CELL
 row-1                                           column=f:c1, timestamp=1587984555307, value=禅克
 row-3                                           column=f:c3, timestamp=1587984555307, value=HBase工作笔记
2 row(s) in 0.0160 seconds

hbase(main):055:0> scan "test", {COLUMNS => ["f:c1:toString","f:c4:c(org.apache.hadoop.hbase.util.Bytes).toString"] }
ROW                                              COLUMN+CELL
 row-1                                           column=f:c1, timestamp=1587984555307, value=禅克
 row-4                                           column=f:c4, timestamp=1587984555307, value=我爱你中国!
2 row(s) in 0.0290 seconds

hbase(main):058:0> get "test","row-2","f:c2:toString"
COLUMN                                           CELL
 f:c2                                            timestamp=1587984555307, value=Get到了吗?好意思不帮我分享嘛~哈哈~
1 row(s) in 0.0070 seconds

hbase(main):057:0>

代码100分

哈哈!Get到了吗?好意思不帮我分享嘛哈哈

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