Phoenix 索引初探

zoukankan html css js c++ java

Phoenix 索引初探

Phoenix中创建一个表：

0: jdbc:phoenix:localhost> create table test ( id varchar not null primary key, cf1.a varchar, cf1.b varchar, cf2.c varchar , cf2.d varchar);

Phoenix中查看其定义

0: jdbc:phoenix:localhost> !describe test

+------------+-------------+------------+-------------+-----------+------------+-------------+---------------+--------------
| TABLE_CAT | TABLE_SCHEM | TABLE_NAME | COLUMN_NAME | DATA_TYPE | TYPE_NAME | ......
+------------+-------------+------------+-------------+-----------+------------+-------------+---------------+--------------
| null | null | TEST |ID    | 12 | VARCHAR | ......
| CF1 | null     | TEST |A       | 12 | VARCHAR |......
| CF1 | null     | TEST |B       | 12 | VARCHAR | ......
| CF2 | null     | TEST |C   | 12 | VARCHAR | ......
| CF2 | null     | TEST | D | 12 | VARCHAR | ......
+------------+-------------+------------+-------------+-----------+------------+-------------+---------------+--------------

HBase中查看该表的定义：
hbase(main):009:0> describe 'TEST'


{NAME=>'TEST',coprocessor$6=>'|org.apache.hbase.index.Indexer|1073741823|index.builder=org.apache.phoenix.index.PhoenixIndexBuilder,org.apache.hbase.index.codec.class=org.apache.phoenix.index.PhoenixIndexCodec', coprocessor$5 => '|org.apache.phoenix.coprocessor.ServerCachingEndpointImpl|1|', coprocessor$4 =>'|org.apache.phoenix.join.HashJoiningRegionObserver|1|', coprocessor$3 => '|org.apache.phoenix.coprocessor.GroupedAggregateRegionObserver|1|', coprocessor$2 => '|org.apache.phoenix.coprocessor.UngroupedAggregateRegionObserver|1|', coprocessor$1 => '|org.apache.phoenix.coprocessor.ScanRegionObserver|1|', FAMILIES => [{NAME => 'CF1', DATA_BLOCK_ENCODING =>'FAST_DIFF', BLOOMFILTER => 'NONE', REPLICATION_SCOPE => '0', VERSIONS => '3', COMPRESSION => 'NONE', MIN_VERSIONS => '0', TTL => '2147483647', KEEP_DELETED_CELLS => 'true', BLOCKSIZE => '65536', IN_MEMORY => 'false', ENCODE _ON_DISK => 'true', BLOCKCACHE => 'true'}, {NAME => 'CF2', DATA_BLOCK_ENCODING => 'FAST_DIFF', BLOOMFILTER => 'NONE', REPLICATION_SCOPE => '0', VERSIONS => '3', COMPRESSION => 'NONE', MIN_VERSIONS => '0', TTL => '2147483647' , KEEP_DELETED_CELLS => 'true', BLOCKSIZE => '65536', IN_MEMORY => 'false', ENCODE_ON_DISK => 'true', BLOCKCACHE => 'true'}]}

采用了Phoenix 自带的 PhoenixIndexBuilder 、PhoenixIndexCodec、coprocessor.ServerCachingEndpointImpl、coprocessor.GroupedAggregateRegionObserver、coprocessor.UngroupedAggregateRegionObserver、coprocessor.ScanRegionObserver

而非Phoenix表的定义一般为：

{NAME => 'HEHE', FAMILIES => [{NAME => 'CF1', DATA_BLOCK_ENCODING => 'NONE', BLOOMFILTER => 'NONE', REPLICATION_SCOPE => '0', VERSIONS => '3', COMPRESSION => 'NONE', MIN_VERSIONS => '0', TTL => '2147483647', KEEP_DELETED_CELLS => 'false', BLOCKSIZE => '65536', IN_MEMORY => 'false', ENCODE_ON_DISK => 'true', BLOCKCACHE => 'true'}, {NAME => 'CF2', DATA_BLOCK_ENCODING => 'NONE', BLOOMFILTER => 'NONE', REPLICATION_SCOPE => '0', VERSIONS => '3', COMPRESSION => 'NONE', MIN_VERSIONS => '0', TTL => '2147483647', KEEP_DELETED_CELLS => 'false', BLOCKSIZE => '65536', IN_MEMORY => 'false', ENCODE_ON_DISK => 'true', BLOCKCACHE => 'true'}]}

将表改为 immutable，即表中数据只会写入，不会修改
0: jdbc:phoenix:localhost> alter table test set immutable_rows=true;

在字段a上创建索引 index index_test_a：
0: jdbc:phoenix:localhost> create index index_test_a on test(a);

查看索引 index index_test_a ：
0: jdbc:phoenix:localhost> !describe index_test_a
+------------+-------------+------------+-------------+-----------+------------+-------------+---------------+-------------
| TABLE_CAT | TABLE_SCHEM | TABLE_NAME | COLUMN_NAME | DATA_TYPE | TYPE_NAME |
+------------+-------------+------------+-------------+-----------+------------+-----------
| null | null | INDEX_TEST_A | CF1:A | 12 | VARCHAR |
| null | null | INDEX_TEST_A | :ID | 12 | VARCHAR |
+------------+-------------+------------+-------------+-----------+------------+-----------

实际上是生成一个新表 'INDEX_TEST_A' ， HBase 中查看为：
hbase(main):014:0> describe 'INDEX_TEST_A'

{NAME => 'INDEX_TEST_A', coprocessor$5 => '|org.apache.phoenix.coprocessor.ServerCachingEndpointImpl|1|', coprocessor$4 => '|org.apache.phoenix.join.HashJoiningRegionObserver|1|', coprocessor$3 => '|org.apache.phoenix.coproc essor.GroupedAggregateRegionObserver|1|', coprocessor$2 => '|org.apache.phoenix.coprocessor.UngroupedAggregateRegionObserver|1|', coprocessor$1 => '|org.apache.phoenix.coprocessor.ScanRegionObserver|1|', MAX_FILESIZE => '2684354560', FAMILIES => [{NAME => '_0', DATA_BLOCK_ENCODING => 'FAST_DIFF', BLOOMFILTER => 'NONE', REPLICATION_SCOPE => '0', VERSIONS => '3', COMPRESSION => 'NONE', MIN_VERSIONS => '0', TTL => '2147483647', KEEP_DELETED_CELLS=> 'true', BLOCKSIZE => '65536', IN_MEMORY => 'false', ENCODE_ON_DISK => 'true', BLOCKCACHE => 'true'}]}

在字段a上创建索引 index index_test_a_in_b_c：

0: jdbc:phoenix:localhost> create index index_test_a_in_b_c on test(a) include(b,c);
0: jdbc:phoenix:localhost> !describe index_test_a_in_b_c
+------------+-------------+------------+-------------+-----------+------------+-------------+---------------+--------------
| TABLE_CAT | TABLE_SCHEM | TABLE_NAME | COLUMN_NAME | DATA_TYPE | TYPE_NAME
+------------+-------------+------------+-------------+-----------+------------+-------------+---------------+--------------
| null | null | INDEX_TEST_A_IN_B_C | CF1:A | 12 | VARCHAR |
| null | null | INDEX_TEST_A_IN_B_C | :ID | 12 | VARCHAR |
| CF1 | null | INDEX_TEST_A_IN_B_C | CF1:B | 12 | VARCHAR |
| CF2 | null | INDEX_TEST_A_IN_B_C | CF2:C | 12 | VARCHAR |
+------------+-------------+------------+-------------+-----------+------------+-------------+-----------

在字段a,b上创建索引 index index_test_a_b_in_c_d：

0: jdbc:phoenix:localhost> create index index_test_a_b_in_c_d on test(a,b) include(c,d);
0: jdbc:phoenix:localhost> !describe index_test_a_b_in_c_d
+------------+-------------+------------+-------------+-----------+------------+-------------+---------------+---------------
| TABLE_CAT | TABLE_SCHEM | TABLE_NAME | COLUMN_NAME | DATA_TYPE | TYPE_NAME |
+------------+-------------+------------+-------------+-----------+------------+-------------+---------------+--------------
| null | null | INDEX_TEST_A_B_IN_C_D | CF1:A | 12 | VARCHAR |
| null | null | INDEX_TEST_A_B_IN_C_D | CF1:B | 12 | VARCHAR |
| null | null | INDEX_TEST_A_B_IN_C_D | :ID | 12 | VARCHAR |
| CF2 | null | INDEX_TEST_A_B_IN_C_D | CF2:C | 12 | VARCHAR |
| CF2 | null | INDEX_TEST_A_B_IN_C_D | CF2:D | 12 | VARCHAR |
+------------+-------------+------------+-------------+-----------+------------+-------------+-------------


插入数据：
String username="";

String password="";
String url = "jdbc:phoenix:10.1.20.129,10.1.20.128,10.1.20.44";
Connection connection = DriverManager.getConnection(url, username, password);
Statement statement = connection.createStatement();
for (int i = 10; i < 29; i++) {
statement.executeUpdate("upsert into test values ('10000"+i+"','"+i * 2%10+"','"+i * 3%10+"','"+i * 5%10+"','"+i * 7%10+"')");
}
connection.commit();
statement.close();
connection.close();

此时各表数据：

表Test

0: jdbc:phoenix:localhost> select * from Test;
+------------+------------+------------+------------+------------+
| ID | A | B | C | D |
+------------+------------+------------+------------+------------+
| 1000010 | 0 | 0 | 0 | 0 |
| 1000020 | 0 | 0 | 0 | 0 |
| 1000015 | 0 | 5 | 5 | 5 |
| 1000025 | 0 | 5 | 5 | 5 |
| 1000011 | 2 | 3 | 5 | 7 |
| 1000021 | 2 | 3 | 5 | 7 |
| 1000016 | 2 | 8 | 0 | 2 |
| 1000026 | 2 | 8 | 0 | 2 |
| 1000017 | 4 | 1 | 5 | 9 |
| 1000027 | 4 | 1 | 5 | 9 |
| 1000012 | 4 | 6 | 0 | 4 |
| 1000022 | 4 | 6 | 0 | 4 |
| 1000018 | 6 | 4 | 0 | 6 |
| 1000028 | 6 | 4 | 0 | 6 |
| 1000013 | 6 | 9 | 5 | 1 |
| 1000023 | 6 | 9 | 5 | 1 |
| 1000014 | 8 | 2 | 0 | 8 |
| 1000024 | 8 | 2 | 0 | 8 |
| 1000019 | 8 | 7 | 5 | 3 |
+------------+

hbase(main):017:0> scan 'TEST'
ROW COLUMN+CELL
1000010 column=CF1:A, timestamp=1414936659069, value=0
1000010 column=CF1:B, timestamp=1414936659069, value=0
1000010 column=CF1:_0, timestamp=1414936659069, value=
1000010 column=CF2:C, timestamp=1414936659069, value=0
1000010 column=CF2:D, timestamp=1414936659069, value=0
1000011 column=CF1:A, timestamp=1414936659069, value=2
1000011 column=CF1:B, timestamp=1414936659069, value=3
1000011 column=CF1:_0, timestamp=1414936659069, value=
1000011 column=CF2:C, timestamp=1414936659069, value=5
1000011 column=CF2:D, timestamp=1414936659069, value=7
1000012 column=CF1:A, timestamp=1414936659069, value=4
1000012 column=CF1:B, timestamp=1414936659069, value=6
1000012 column=CF1:_0, timestamp=1414936659069, value=
1000012 column=CF2:C, timestamp=1414936659069, value=0
1000012 column=CF2:D, timestamp=1414936659069, value=4
1000013 column=CF1:A, timestamp=1414936659069, value=6
1000013 column=CF1:B, timestamp=1414936659069, value=9
1000013 column=CF1:_0, timestamp=1414936659069, value=
1000013 column=CF2:C, timestamp=1414936659069, value=5
1000013 column=CF2:D, timestamp=1414936659069, value=1
1000014 column=CF1:A, timestamp=1414936659069, value=8
1000014 column=CF1:B, timestamp=1414936659069, value=2
1000014 column=CF1:_0, timestamp=1414936659069, value=
1000014 column=CF2:C, timestamp=1414936659069, value=0
1000014 column=CF2:D, timestamp=1414936659069, value=8
1000015 column=CF1:A, timestamp=1414936659069, value=0
1000015 column=CF1:B, timestamp=1414936659069, value=5
1000015 column=CF1:_0, timestamp=1414936659069, value=
1000015 column=CF2:C, timestamp=1414936659069, value=5
1000015 column=CF2:D, timestamp=1414936659069, value=5
1000016 column=CF1:A, timestamp=1414936659069, value=2
1000016 column=CF1:B, timestamp=1414936659069, value=8
1000016 column=CF1:_0, timestamp=1414936659069, value=
1000016 column=CF2:C, timestamp=1414936659069, value=0
1000016 column=CF2:D, timestamp=1414936659069, value=2
1000017 column=CF1:A, timestamp=1414936659069, value=4
1000017 column=CF1:B, timestamp=1414936659069, value=1
1000017 column=CF1:_0, timestamp=1414936659069, value=
1000017 column=CF2:C, timestamp=1414936659069, value=5
1000017 column=CF2:D, timestamp=1414936659069, value=9
1000018 column=CF1:A, timestamp=1414936659069, value=6
1000018 column=CF1:B, timestamp=1414936659069, value=4
1000018 column=CF1:_0, timestamp=1414936659069, value=
1000018 column=CF2:C, timestamp=1414936659069, value=0
1000018 column=CF2:D, timestamp=1414936659069, value=6
1000019 column=CF1:A, timestamp=1414936659069, value=8
1000019 column=CF1:B, timestamp=1414936659069, value=7
1000019 column=CF1:_0, timestamp=1414936659069, value=
1000019 column=CF2:C, timestamp=1414936659069, value=5
1000019 column=CF2:D, timestamp=1414936659069, value=3
1000020 column=CF1:A, timestamp=1414936659069, value=0
1000020 column=CF1:B, timestamp=1414936659069, value=0
1000020 column=CF1:_0, timestamp=1414936659069, value=
1000020 column=CF2:C, timestamp=1414936659069, value=0
1000020 column=CF2:D, timestamp=1414936659069, value=0
1000021 column=CF1:A, timestamp=1414936659069, value=2
1000021 column=CF1:B, timestamp=1414936659069, value=3
1000021 column=CF1:_0, timestamp=1414936659069, value=
1000021 column=CF2:C, timestamp=1414936659069, value=5
1000021 column=CF2:D, timestamp=1414936659069, value=7
1000022 column=CF1:A, timestamp=1414936659069, value=4
1000022 column=CF1:B, timestamp=1414936659069, value=6
1000022 column=CF1:_0, timestamp=1414936659069, value=
1000022 column=CF2:C, timestamp=1414936659069, value=0
1000022 column=CF2:D, timestamp=1414936659069, value=4
1000023 column=CF1:A, timestamp=1414936659069, value=6
1000023 column=CF1:B, timestamp=1414936659069, value=9
1000023 column=CF1:_0, timestamp=1414936659069, value=
1000023 column=CF2:C, timestamp=1414936659069, value=5
1000023 column=CF2:D, timestamp=1414936659069, value=1
1000024 column=CF1:A, timestamp=1414936659069, value=8
1000024 column=CF1:B, timestamp=1414936659069, value=2
1000024 column=CF1:_0, timestamp=1414936659069, value=
1000024 column=CF2:C, timestamp=1414936659069, value=0
1000024 column=CF2:D, timestamp=1414936659069, value=8
1000025 column=CF1:A, timestamp=1414936659069, value=0
1000025 column=CF1:B, timestamp=1414936659069, value=5
1000025 column=CF1:_0, timestamp=1414936659069, value=
1000025 column=CF2:C, timestamp=1414936659069, value=5
1000025 column=CF2:D, timestamp=1414936659069, value=5
1000026 column=CF1:A, timestamp=1414936659069, value=2
1000026 column=CF1:B, timestamp=1414936659069, value=8
1000026 column=CF1:_0, timestamp=1414936659069, value=
1000026 column=CF2:C, timestamp=1414936659069, value=0
1000026 column=CF2:D, timestamp=1414936659069, value=2
1000027 column=CF1:A, timestamp=1414936659069, value=4
1000027 column=CF1:B, timestamp=1414936659069, value=1
1000027 column=CF1:_0, timestamp=1414936659069, value=
1000027 column=CF2:C, timestamp=1414936659069, value=5
1000027 column=CF2:D, timestamp=1414936659069, value=9
1000028 column=CF1:A, timestamp=1414936659069, value=6
1000028 column=CF1:B, timestamp=1414936659069, value=4
1000028 column=CF1:_0, timestamp=1414936659069, value=
1000028 column=CF2:C, timestamp=1414936659069, value=0
1000028 column=CF2:D, timestamp=1414936659069, value=6

索引 INDEX_TEST_A ：
0: jdbc:phoenix:localhost> select * from INDEX_TEST_A;
+------------+------------+
| CF1:A | :ID |
+------------+------------+
| 0 | 1000010 |
| 0 | 1000015 |
| 0 | 1000020 |
| 0 | 1000025 |
| 2 | 1000011 |
| 2 | 1000016 |
| 2 | 1000021 |
| 2 | 1000026 |
| 4 | 1000012 |
| 4 | 1000017 |
| 4 | 1000022 |
| 4 | 1000027 |
| 6 | 1000013 |
| 6 | 1000018 |
| 6 | 1000023 |
| 6 | 1000028 |
| 8 | 1000014 |
| 8 | 1000019 |
| 8 | 1000024 |
+------------+------------+

hbase(main):018:0> scan 'INDEX_TEST_A'

ROW COLUMN+CELL
0x001000010 column=_0:_0, timestamp=1414936659069, value=
0x001000015 column=_0:_0, timestamp=1414936659069, value=
0x001000020 column=_0:_0, timestamp=1414936659069, value=
0x001000025 column=_0:_0, timestamp=1414936659069, value=
2x001000011 column=_0:_0, timestamp=1414936659069, value=
2x001000016 column=_0:_0, timestamp=1414936659069, value=
2x001000021 column=_0:_0, timestamp=1414936659069, value=
2x001000026 column=_0:_0, timestamp=1414936659069, value=
4x001000012 column=_0:_0, timestamp=1414936659069, value=
4x001000017 column=_0:_0, timestamp=1414936659069, value=
4x001000022 column=_0:_0, timestamp=1414936659069, value=
4x001000027 column=_0:_0, timestamp=1414936659069, value=
6x001000013 column=_0:_0, timestamp=1414936659069, value=
6x001000018 column=_0:_0, timestamp=1414936659069, value=
6x001000023 column=_0:_0, timestamp=1414936659069, value=
6x001000028 column=_0:_0, timestamp=1414936659069, value=
8x001000014 column=_0:_0, timestamp=1414936659069, value=
8x001000019 column=_0:_0, timestamp=1414936659069, value=
8x001000024 column=_0:_0, timestamp=1414936659069, value=

索引 INDEX_TEST_A_IN_B_C：
0: jdbc:phoenix:localhost> select * from INDEX_TEST_A_IN_B_C;
+------------+------------+------------+------------+
| CF1:A | :ID | CF1:B | CF2:C |
+------------+------------+------------+------------+
| 0 | 1000010 | 0 | 0 |
| 0 | 1000015 | 5 | 5 |
| 0 | 1000020 | 0 | 0 |
| 0 | 1000025 | 5 | 5 |
| 2 | 1000011 | 3 | 5 |
| 2 | 1000016 | 8 | 0 |
| 2 | 1000021 | 3 | 5 |
| 2 | 1000026 | 8 | 0 |
| 4 | 1000012 | 6 | 0 |
| 4 | 1000017 | 1 | 5 |
| 4 | 1000022 | 6 | 0 |
| 4 | 1000027 | 1 | 5 |
| 6 | 1000013 | 9 | 5 |
| 6 | 1000018 | 4 | 0 |
| 6 | 1000023 | 9 | 5 |
| 6 | 1000028 | 4 | 0 |
| 8 | 1000014 | 2 | 0 |
| 8 | 1000019 | 7 | 5 |
| 8 | 1000024 | 2 | 0 |
+------------+------------+------------+------------+

hbase(main):019:0> scan 'INDEX_TEST_A_IN_B_C'
ROW COLUMN+CELL
0x001000010 column=CF1:CF1:B, timestamp=1414936659069, value=0
0x001000010 column=CF1:_0, timestamp=1414936659069, value=
0x001000010 column=CF2:CF2:C, timestamp=1414936659069, value=0
0x001000015 column=CF1:CF1:B, timestamp=1414936659069, value=5
0x001000015 column=CF1:_0, timestamp=1414936659069, value=
0x001000015 column=CF2:CF2:C, timestamp=1414936659069, value=5
0x001000020 column=CF1:CF1:B, timestamp=1414936659069, value=0
0x001000020 column=CF1:_0, timestamp=1414936659069, value=
0x001000020 column=CF2:CF2:C, timestamp=1414936659069, value=0
0x001000025 column=CF1:CF1:B, timestamp=1414936659069, value=5
0x001000025 column=CF1:_0, timestamp=1414936659069, value=
0x001000025 column=CF2:CF2:C, timestamp=1414936659069, value=5
2x001000011 column=CF1:CF1:B, timestamp=1414936659069, value=3
2x001000011 column=CF1:_0, timestamp=1414936659069, value=
2x001000011 column=CF2:CF2:C, timestamp=1414936659069, value=5
2x001000016 column=CF1:CF1:B, timestamp=1414936659069, value=8
2x001000016 column=CF1:_0, timestamp=1414936659069, value=
2x001000016 column=CF2:CF2:C, timestamp=1414936659069, value=0
2x001000021 column=CF1:CF1:B, timestamp=1414936659069, value=3
2x001000021 column=CF1:_0, timestamp=1414936659069, value=
2x001000021 column=CF2:CF2:C, timestamp=1414936659069, value=5
2x001000026 column=CF1:CF1:B, timestamp=1414936659069, value=8
2x001000026 column=CF1:_0, timestamp=1414936659069, value=
2x001000026 column=CF2:CF2:C, timestamp=1414936659069, value=0
4x001000012 column=CF1:CF1:B, timestamp=1414936659069, value=6
4x001000012 column=CF1:_0, timestamp=1414936659069, value=
4x001000012 column=CF2:CF2:C, timestamp=1414936659069, value=0
4x001000017 column=CF1:CF1:B, timestamp=1414936659069, value=1
4x001000017 column=CF1:_0, timestamp=1414936659069, value=
4x001000017 column=CF2:CF2:C, timestamp=1414936659069, value=5
4x001000022 column=CF1:CF1:B, timestamp=1414936659069, value=6
4x001000022 column=CF1:_0, timestamp=1414936659069, value=
4x001000022 column=CF2:CF2:C, timestamp=1414936659069, value=0
4x001000027 column=CF1:CF1:B, timestamp=1414936659069, value=1
4x001000027 column=CF1:_0, timestamp=1414936659069, value=
4x001000027 column=CF2:CF2:C, timestamp=1414936659069, value=5
6x001000013 column=CF1:CF1:B, timestamp=1414936659069, value=9
6x001000013 column=CF1:_0, timestamp=1414936659069, value=
6x001000013 column=CF2:CF2:C, timestamp=1414936659069, value=5
6x001000018 column=CF1:CF1:B, timestamp=1414936659069, value=4
6x001000018 column=CF1:_0, timestamp=1414936659069, value=
6x001000018 column=CF2:CF2:C, timestamp=1414936659069, value=0
6x001000023 column=CF1:CF1:B, timestamp=1414936659069, value=9
6x001000023 column=CF1:_0, timestamp=1414936659069, value=
6x001000023 column=CF2:CF2:C, timestamp=1414936659069, value=5
6x001000028 column=CF1:CF1:B, timestamp=1414936659069, value=4
6x001000028 column=CF1:_0, timestamp=1414936659069, value=
6x001000028 column=CF2:CF2:C, timestamp=1414936659069, value=0
8x001000014 column=CF1:CF1:B, timestamp=1414936659069, value=2
8x001000014 column=CF1:_0, timestamp=1414936659069, value=
8x001000014 column=CF2:CF2:C, timestamp=1414936659069, value=0
8x001000019 column=CF1:CF1:B, timestamp=1414936659069, value=7
8x001000019 column=CF1:_0, timestamp=1414936659069, value=
8x001000019 column=CF2:CF2:C, timestamp=1414936659069, value=5
8x001000024 column=CF1:CF1:B, timestamp=1414936659069, value=2
8x001000024 column=CF1:_0, timestamp=1414936659069, value=
8x001000024 column=CF2:CF2:C, timestamp=1414936659069, value=0

索引 INDEX_TEST_A_B_IN_C_D：

0: jdbc:phoenix:localhost> select * from INDEX_TEST_A_B_IN_C_D;

+------------+------------+------------+------------+------------+
| CF1:A | CF1:B | :ID | CF2:C | CF2:D |
+------------+------------+------------+------------+------------+
| 0 | 0 | 1000010 | 0 | 0 |
| 0 | 0 | 1000020 | 0 | 0 |
| 0 | 5 | 1000015 | 5 | 5 |
| 0 | 5 | 1000025 | 5 | 5 |
| 2 | 3 | 1000011 | 5 | 7 |
| 2 | 3 | 1000021 | 5 | 7 |
| 2 | 8 | 1000016 | 0 | 2 |
| 2 | 8 | 1000026 | 0 | 2 |
| 4 | 1 | 1000017 | 5 | 9 |
| 4 | 1 | 1000027 | 5 | 9 |
| 4 | 6 | 1000012 | 0 | 4 |
| 4 | 6 | 1000022 | 0 | 4 |
| 6 | 4 | 1000018 | 0 | 6 |
| 6 | 4 | 1000028 | 0 | 6 |
| 6 | 9 | 1000013 | 5 | 1 |
| 6 | 9 | 1000023 | 5 | 1 |
| 8 | 2 | 1000014 | 0 | 8 |
| 8 | 2 | 1000024 | 0 | 8 |
| 8 | 7 | 1000019 | 5 | 3 |
+------------+------------+------------+------------+------------+

hbase(main):020:0> scan 'INDEX_TEST_A_B_IN_C_D'

ROW COLUMN+CELL
0x000x001000010 column=CF2:CF2:C, timestamp=1414936659069, value=0
0x000x001000010 column=CF2:CF2:D, timestamp=1414936659069, value=0
0x000x001000010 column=CF2:_0, timestamp=1414936659069, value=
0x000x001000020 column=CF2:CF2:C, timestamp=1414936659069, value=0
0x000x001000020 column=CF2:CF2:D, timestamp=1414936659069, value=0
0x000x001000020 column=CF2:_0, timestamp=1414936659069, value=
0x005x001000015 column=CF2:CF2:C, timestamp=1414936659069, value=5
0x005x001000015 column=CF2:CF2:D, timestamp=1414936659069, value=5
0x005x001000015 column=CF2:_0, timestamp=1414936659069, value=
0x005x001000025 column=CF2:CF2:C, timestamp=1414936659069, value=5
0x005x001000025 column=CF2:CF2:D, timestamp=1414936659069, value=5
0x005x001000025 column=CF2:_0, timestamp=1414936659069, value=
2x003x001000011 column=CF2:CF2:C, timestamp=1414936659069, value=5
2x003x001000011 column=CF2:CF2:D, timestamp=1414936659069, value=7
2x003x001000011 column=CF2:_0, timestamp=1414936659069, value=
2x003x001000021 column=CF2:CF2:C, timestamp=1414936659069, value=5
2x003x001000021 column=CF2:CF2:D, timestamp=1414936659069, value=7
2x003x001000021 column=CF2:_0, timestamp=1414936659069, value=
2x008x001000016 column=CF2:CF2:C, timestamp=1414936659069, value=0
2x008x001000016 column=CF2:CF2:D, timestamp=1414936659069, value=2
2x008x001000016 column=CF2:_0, timestamp=1414936659069, value=
2x008x001000026 column=CF2:CF2:C, timestamp=1414936659069, value=0
2x008x001000026 column=CF2:CF2:D, timestamp=1414936659069, value=2
2x008x001000026 column=CF2:_0, timestamp=1414936659069, value=
4x001x001000017 column=CF2:CF2:C, timestamp=1414936659069, value=5
4x001x001000017 column=CF2:CF2:D, timestamp=1414936659069, value=9
4x001x001000017 column=CF2:_0, timestamp=1414936659069, value=
4x001x001000027 column=CF2:CF2:C, timestamp=1414936659069, value=5
4x001x001000027 column=CF2:CF2:D, timestamp=1414936659069, value=9
4x001x001000027 column=CF2:_0, timestamp=1414936659069, value=
4x006x001000012 column=CF2:CF2:C, timestamp=1414936659069, value=0
4x006x001000012 column=CF2:CF2:D, timestamp=1414936659069, value=4
4x006x001000012 column=CF2:_0, timestamp=1414936659069, value=
4x006x001000022 column=CF2:CF2:C, timestamp=1414936659069, value=0
4x006x001000022 column=CF2:CF2:D, timestamp=1414936659069, value=4
4x006x001000022 column=CF2:_0, timestamp=1414936659069, value=
6x004x001000018 column=CF2:CF2:C, timestamp=1414936659069, value=0
6x004x001000018 column=CF2:CF2:D, timestamp=1414936659069, value=6
6x004x001000018 column=CF2:_0, timestamp=1414936659069, value=
6x004x001000028 column=CF2:CF2:C, timestamp=1414936659069, value=0
6x004x001000028 column=CF2:CF2:D, timestamp=1414936659069, value=6
6x004x001000028 column=CF2:_0, timestamp=1414936659069, value=
6x009x001000013 column=CF2:CF2:C, timestamp=1414936659069, value=5
6x009x001000013 column=CF2:CF2:D, timestamp=1414936659069, value=1
6x009x001000013 column=CF2:_0, timestamp=1414936659069, value=
6x009x001000023 column=CF2:CF2:C, timestamp=1414936659069, value=5
6x009x001000023 column=CF2:CF2:D, timestamp=1414936659069, value=1
6x009x001000023 column=CF2:_0, timestamp=1414936659069, value=
8x002x001000014 column=CF2:CF2:C, timestamp=1414936659069, value=0
8x002x001000014 column=CF2:CF2:D, timestamp=1414936659069, value=8
8x002x001000014 column=CF2:_0, timestamp=1414936659069, value=
8x002x001000024 column=CF2:CF2:C, timestamp=1414936659069, value=0
8x002x001000024 column=CF2:CF2:D, timestamp=1414936659069, value=8
8x002x001000024 column=CF2:_0, timestamp=1414936659069, value=
8x007x001000019 column=CF2:CF2:C, timestamp=1414936659069, value=5
8x007x001000019 column=CF2:CF2:D, timestamp=1414936659069, value=3
8x007x001000019 column=CF2:_0, timestamp=1414936659069, value=

查看全文

相关阅读:
解决移动端页面在苹果端滑不到底部的问题
 js点击事件在苹果端失效的问题
 小程序开发基本步骤
 css多行文本省略号（...）
js判断pc端和移动端的方法
 主流浏览器css兼容问题的总结
 让ie6对png透明图片支持起来
 ajax的探究与使用
 css3实现逐渐变大的圆填充div背景的效果
 js中setTimeout()时间参数设置为0的探讨

原文地址：https://www.cnblogs.com/leeeee/p/7276400.html