hbase shell操作之scan+filter
转载于:https://blog.csdn.net/liuxiao723846/article/details/73823056
有点草率,最近课程紧
创建表
create 'test1', 'lf', 'sf'
lf: column family of LONG values (binary value)
-- sf: column family of STRING values
导入数据
-
put 'test1', 'user1|ts1', 'sf:c1', 'sku1'
-
put 'test1', 'user1|ts2', 'sf:c1', 'sku188'
-
put 'test1', 'user1|ts3', 'sf:s1', 'sku123'
-
-
put 'test1', 'user2|ts4', 'sf:c1', 'sku2'
-
put 'test1', 'user2|ts5', 'sf:c2', 'sku288'
-
put 'test1', 'user2|ts6', 'sf:s1', 'sku222'
一个用户(userX),在什么时间(tsX),作为rowkey
对什么产品(value:skuXXX),做了什么操作作为列名,比如,c1: click from homepage; c2: click from ad; s1: search from homepage; b1: buy
查询案例
1、谁的值=sku188
-
scan 'test1', FILTER=>"ValueFilter(=,'binary:sku188')"
-
-
ROW COLUMN+CELL
-
user1|ts2 column=sf:c1, timestamp=1409122354918, value=sku188
2、谁的值包含88
-
scan 'test1', FILTER=>"ValueFilter(=,'substring:88')"
-
-
ROW COLUMN+CELL
-
user1|ts2 column=sf:c1, timestamp=1409122354918, value=sku188
-
user2|ts5 column=sf:c2, timestamp=1409122355030, value=sku288
3、通过广告点击进来的(column为c2)值包含88的用户
-
scan 'test1', FILTER=>"ColumnPrefixFilter('c2') AND ValueFilter(=,'substring:88')"
-
-
ROW COLUMN+CELL
-
user2|ts5 column=sf:c2, timestamp=1409122355030, value=sku288
4、通过搜索进来的(column为s)值包含123或者222的用户
-
scan 'test1', FILTER=>"ColumnPrefixFilter('s') AND ( ValueFilter(=,'substring:123') OR ValueFilter(=,'substring:222') )"
-
-
ROW COLUMN+CELL
-
user1|ts3 column=sf:s1, timestamp=1409122354954, value=sku123
-
user2|ts6 column=sf:s1, timestamp=1409122355970, value=sku222
5、rowkey为user1开头的
-
scan 'test1', FILTER => "PrefixFilter ('user1')"
-
-
ROW COLUMN+CELL
-
user1|ts1 column=sf:c1, timestamp=1409122354868, value=sku1
-
user1|ts2 column=sf:c1, timestamp=1409122354918, value=sku188
-
user1|ts3 column=sf:s1, timestamp=1409122354954, value=sku123
6、FirstKeyOnlyFilter: 一个rowkey可以有多个version,同一个rowkey的同一个column也会有多个的值, 只拿出key中的第一个column的第一个version
KeyOnlyFilter: 只要key,不要value
-
scan 'test1', FILTER=>"FirstKeyOnlyFilter() AND ValueFilter(=,'binary:sku188') AND KeyOnlyFilter()"
-
-
ROW COLUMN+CELL
-
user1|ts2 column=sf:c1, timestamp=1409122354918, value=
7、从user1|ts2开始,找到所有的rowkey以user1开头的
-
scan 'test1', {STARTROW=>'user1|ts2', FILTER => "PrefixFilter ('user1')"}
-
-
ROW COLUMN+CELL
-
user1|ts2 column=sf:c1, timestamp=1409122354918, value=sku188
-
user1|ts3 column=sf:s1, timestamp=1409122354954, value=sku123
8、从user1|ts2开始,找到所有的到rowkey以user2开头
-
scan 'test1', {STARTROW=>'user1|ts2', STOPROW=>'user2'}
-
-
ROW COLUMN+CELL
-
user1|ts2 column=sf:c1, timestamp=1409122354918, value=sku188
-
user1|ts3 column=sf:s1, timestamp=1409122354954, value=sku123
9、查询rowkey里面包含ts3的
-
import org.apache.hadoop.hbase.filter.CompareFilter
-
import org.apache.hadoop.hbase.filter.SubstringComparator
-
import org.apache.hadoop.hbase.filter.RowFilter
-
scan 'test1', {FILTER => RowFilter.new(CompareFilter::CompareOp.valueOf('EQUAL'), SubstringComparator.new('ts3'))}
-
-
ROW COLUMN+CELL
-
user1|ts3 column=sf:s1, timestamp=1409122354954, value=sku123
10、查询rowkey里面包含ts的
-
import org.apache.hadoop.hbase.filter.CompareFilter
-
import org.apache.hadoop.hbase.filter.SubstringComparator
-
import org.apache.hadoop.hbase.filter.RowFilter
-
scan 'test1', {FILTER => RowFilter.new(CompareFilter::CompareOp.valueOf('EQUAL'), SubstringComparator.new('ts'))}
-
-
ROW COLUMN+CELL
-
user1|ts1 column=sf:c1, timestamp=1409122354868, value=sku1
-
user1|ts2 column=sf:c1, timestamp=1409122354918, value=sku188
-
user1|ts3 column=sf:s1, timestamp=1409122354954, value=sku123
-
user2|ts4 column=sf:c1, timestamp=1409122354998, value=sku2
-
user2|ts5 column=sf:c2, timestamp=1409122355030, value=sku288
-
user2|ts6 column=sf:s1, timestamp=1409122355970, value=sku222
加入一条测试数据
put 'test1', 'user2|err', 'sf:s1', 'sku999'
11、查询rowkey里面以user开头的,新加入的测试数据并不符合正则表达式的规则,故查询不出来
-
import org.apache.hadoop.hbase.filter.RegexStringComparator
-
import org.apache.hadoop.hbase.filter.CompareFilter
-
import org.apache.hadoop.hbase.filter.SubstringComparator
-
import org.apache.hadoop.hbase.filter.RowFilter
-
scan 'test1', {FILTER => RowFilter.new(CompareFilter::CompareOp.valueOf('EQUAL'),RegexStringComparator.new('^user\d+\|ts\d+$'))}
-
-
ROW COLUMN+CELL
-
user1|ts1 column=sf:c1, timestamp=1409122354868, value=sku1
-
user1|ts2 column=sf:c1, timestamp=1409122354918, value=sku188
-
user1|ts3 column=sf:s1, timestamp=1409122354954, value=sku123
-
user2|ts4 column=sf:c1, timestamp=1409122354998, value=sku2
-
user2|ts5 column=sf:c2, timestamp=1409122355030, value=sku288
-
user2|ts6 column=sf:s1, timestamp=1409122355970, value=sku222
加入测试数据
put 'test1', 'user1|ts9', 'sf:b1', 'sku1'
12、b1开头的列中并且值为sku1的:
-
scan 'test1', FILTER=>"ColumnPrefixFilter('b1') AND ValueFilter(=,'binary:sku1')"
-
-
ROW COLUMN+CELL
-
user1|ts9 column=sf:b1, timestamp=1409124908668, value=sku1
13、SingleColumnValueFilter的使用,b1开头的列中并且值为sku1的
-
import org.apache.hadoop.hbase.filter.CompareFilter
-
import org.apache.hadoop.hbase.filter.SingleColumnValueFilter
-
import org.apache.hadoop.hbase.filter.SubstringComparator
-
scan 'test1', {COLUMNS => 'sf:b1', FILTER => SingleColumnValueFilter.new(Bytes.toBytes('sf'), Bytes.toBytes('b1'), CompareFilter::CompareOp.valueOf('EQUAL'), Bytes.toBytes('sku1'))}
-
-
ROW COLUMN+CELL
-
user1|ts9 column=sf:b1, timestamp=1409124908668, value=sku1
hbase zkcli 的使用
-
hbase zkcli
-
ls /
-
[hbase, zookeeper]
-
-
[zk: hadoop000:2181(CONNECTED) 1] ls /hbase
-
[meta-region-server, backup-masters, table, draining, region-in-transition, running, table-lock, master, namespace, hbaseid, online-snapshot, replication, splitWAL, recovering-regions, rs]
-
-
[zk: hadoop000:2181(CONNECTED) 2] ls /hbase/table
-
[member, test1, hbase:meta, hbase:namespace]
-
-
[zk: hadoop000:2181(CONNECTED) 3] ls /hbase/table/test1
-
[]
-
-
[zk: hadoop000:2181(CONNECTED) 4] get /hbase/table/test1
-
?master:60000}l$??lPBUF
-
cZxid = 0x107
-
ctime = Wed Aug 27 14:52:21 HKT 2014
-
mZxid = 0x10b
-
mtime = Wed Aug 27 14:52:22 HKT 2014
-
pZxid = 0x107
-
cversion = 0
-
dataVersion = 2
-
aclVersion = 0
-
ephemeralOwner = 0x0
-
dataLength = 31
-
numChildren = 0