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Hbase常用操作记录

创建表

语法:create <table>, {NAME => <family>, VERSIONS => <VERSIONS>}
  • 例如:创建表t1,有两个family name:f1,f2,且版本数均为2
create \'table\',{NAME => \'family1\', VERSIONS => 2,TTL=>\'100000\'},{NAME => \'family2\', VERSIONS => 2,TTL=>\'100000\'}

查看表结构

describe <table>

修改表结构

disable \'table\'
alter \'table\',{NAME=>\'info\',TTL=>\'100000\'}
enable \'table\'

删除表

disable \'table\'
drop \'table\'
统计行数 hbase org.apache.hadoop.hbase.mapreduce.RowCounter \'tablename\'
添加数据 put \'table\',\'rowkey\',\'family:column\',\'value\'
查询表中的数据行数 count \'table\', {INTERVAL => 100, CACHE => 500}
删除数据
删除行中的某个列值 delete \'table\',\'rowkey\',\'family:column\'
删除行 deleteall \'table\',\'rowkey\'
删除表中的所有数据 truncate \'table\'
rowkey中包含某关键字
  • BinaryComparator-使用Bytes.compareTo()比较
  • BinaryPrefixComparator-和BinaryComparator差不多,从前面开始比较
  • NullComparator-Does not compare against an actual value but whether a given one is null, or not null.
  • BitComparator-Performs a bitwise comparison, providing a BitwiseOp class with AND, OR, and XOR operators.
  • RegexStringComparator-正则表达式
  • SubstringComparator-把数据当成字符串,用contains()来判断
import org.apache.hadoop.hbase.filter.CompareFilter
import org.apache.hadoop.hbase.filter.需要使用的过滤器
提取rowkey以01结尾数据
Filter filter = new RowFilter(CompareFilter.CompareOp.EQUAL,new RegexStringComparator(".*01$"));
提取rowkey以包含201407的数据
Filter filter = new RowFilter(CompareFilter.CompareOp.EQUAL,new SubstringComparator("201407"));
提取rowkey以123开头的数据
Filter filter = new RowFilter(CompareFilter.CompareOp.EQUAL,new BinaryPrefixComparator("123".getBytes())))
import org.apache.hadoop.hbase.filter.RowFilter
scan \'table\',FILTER => RowFilter.new(CompareFilter::CompareOp.valueOf(\'EQUAL\'),SubstringComparator.new(\'KEY\'))
以某关键字开头
scan \'table\', FILTER => "PrefixFilter (\'关键字\')"
根据column family value查询 包含某一关键字的数据
scan \'table\', FILTER=>"ColumnPrefixFilter(\'family:column\') AND ( ValueFilter(=,\'substring:关键字1\') OR ValueFilter(=,\'substring:关键字2\') )"
查询值等于某一关键字的数据
scan \'table\', FILTER=>"ValueFilter(=,\'binary:关键字\')"
 

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