在客户端验证行比使用整个主键的二级索引更好？
Validating row at client side better than secondary index with whole primary key?
众所周知，在 cassandra 中，应该非常谨慎地使用二级索引。
如果我有 table 例如：
User(username, usertype, email, etc..)
这里的用户名是分区键。现在我想支持当且仅当用户类型是特定值 X.returns 特定用户（将给出用户名）的操作。
我有两种方法可以做到：
一个：
在用户类型上创建二级索引，可能的值（'A'、'B'、'C'）
用户名是分区键。
SELECT * FROM user WHERE username='something' AND usertype='A';
两个：
我可以只将带有用户名的行提取到客户端，然后检查用户类型是否为 A。
哪种方法更好？还请考虑一个宽行（不是很大，10 秒）的场景，其中并非分区的所有行都可能具有给定值（这需要一些客户端过滤）。
我不清楚二级索引是如何在特定节点中查找数据的。
例如：SELECT * FROM user WHERE username='something' AND usertype='A'
例如usertype hidden CF有数据'A'-> 'jhon', 'miller', 'chris',...等, 100个用户名
并且带有分区键的查询与用户类型一起给出，它是扫描所有这 100 个用户名以与用户名 'something' 匹配，还是只是先按用户名获取，如果匹配则查看用户类型列'A'？ 它究竟是如何进行搜索的？给定索引在低基数数据上并且每个索引都映射到许多行，查询票价如何？
如果重要的话，我正在使用 java 作为客户端。
更新：
我知道我可以为这个特定的例子使用集群（用户类型）键，但我想知道我问过的权衡。我原来的table要复杂得多。
这里最好的选择是创建一个由用户名和用户类型组成的复合主键，用户名是分区键，用户类型是集群键。您甚至不需要索引，查询也能正常工作。
CREATE TABLE users (
username text,
usertype text,
....
PRIMARY KEY ((username), usertype)
)
对于这个例子，假设我创建了一个 table 来按船和 ID 跟踪船员：
CREATE TABLE crewByShip (
ship text,
id int,
firstname text,
lastname text,
gender text,
PRIMARY KEY(ship,id));
我会在 gender:
上创建一个索引
CREATE INDEX crewByShipG_idx ON crewByShip(gender);
插入一些数据后，我的 table 看起来像这样：
ship | id | firstname | gender | lastname
----------+----+-----------+--------+-----------
Serenity | 1 | Hoban | M | Washburne
Serenity | 2 | Zoey | F | Washburne
Serenity | 3 | Malcolm | M | Reynolds
Serenity | 4 | Kaylee | F | Frye
Serenity | 5 | Sheppard | M | Book
Serenity | 6 | Jayne | M | Cobb
Serenity | 7 | Simon | M | Tam
Serenity | 8 | River | F | Tam
Serenity | 9 | Inara | F | Serra
现在我将打开跟踪，并使用 PRIMARY KEY 查询不同的行，但也受我们在 gender 上的索引限制。
aploetz@cqlsh:Whosebug2> tracing on;
aploetz@cqlsh:Whosebug2> SELECT * FROM crewByShip WHERE ship='Serenity' AND id=3 AND gender='M';
ship | id | firstname | gender | lastname
----------+----+-----------+--------+----------
Serenity | 3 | Malcolm | M | Reynolds
(1 rows)
Tracing session: 34ea1840-e8e1-11e4-9cb7-21b264d4c94d
activity | timestamp | source | source_elapsed
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------+----------------+----------------
Execute CQL3 query | 2015-04-22 06:17:48.102000 | 192.168.23.129 | 0
Parsing SELECT * FROM crewByShip WHERE ship='Serenity' AND id=3 AND gender='M'; [SharedPool-Worker-1] | 2015-04-22 06:17:48.114000 | 192.168.23.129 | 3715
Preparing statement [SharedPool-Worker-1] | 2015-04-22 06:17:48.116000 | 192.168.23.129 | 4846
Executing single-partition query on users [SharedPool-Worker-2] | 2015-04-22 06:17:48.118000 | 192.168.23.129 | 5730
Acquiring sstable references [SharedPool-Worker-2] | 2015-04-22 06:17:48.118000 | 192.168.23.129 | 5757
Merging memtable tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:48.119000 | 192.168.23.129 | 5793
Key cache hit for sstable 1 [SharedPool-Worker-2] | 2015-04-22 06:17:48.119000 | 192.168.23.129 | 5848
Seeking to partition beginning in data file [SharedPool-Worker-2] | 2015-04-22 06:17:48.120000 | 192.168.23.129 | 5856
Skipped 0/1 non-slice-intersecting sstables, included 0 due to tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:48.120000 | 192.168.23.129 | 7056
Merging data from memtables and 1 sstables [SharedPool-Worker-2] | 2015-04-22 06:17:48.121000 | 192.168.23.129 | 7080
Read 1 live and 0 tombstoned cells [SharedPool-Worker-2] | 2015-04-22 06:17:48.122000 | 192.168.23.129 | 7143
Computing ranges to query [SharedPool-Worker-1] | 2015-04-22 06:17:48.122000 | 192.168.23.129 | 7578
Candidate index mean cardinalities are CompositesIndexOnRegular{columnDefs=[ColumnDefinition{name=gender, type=org.apache.cassandra.db.marshal.UTF8Type, kind=REGULAR, componentIndex=1, indexName=crewbyshipg_idx, indexType=COMPOSITES}]}:0. Scanning with crewbyship.crewbyshipg_idx. [SharedPool-Worker-1] | 2015-04-22 06:17:48.122000 | 192.168.23.129 | 7742
Submitting range requests on 1 ranges with a concurrency of 1 (0.0 rows per range expected) [SharedPool-Worker-1] | 2015-04-22 06:17:48.122000 | 192.168.23.129 | 7807
Submitted 1 concurrent range requests covering 1 ranges [SharedPool-Worker-1] | 2015-04-22 06:17:48.122000 | 192.168.23.129 | 7851
Executing indexed scan for [Serenity, Serenity] [SharedPool-Worker-2] | 2015-04-22 06:17:48.123000 | 192.168.23.129 | 10848
Candidate index mean cardinalities are CompositesIndexOnRegular{columnDefs=[ColumnDefinition{name=gender, type=org.apache.cassandra.db.marshal.UTF8Type, kind=REGULAR, componentIndex=1, indexName=crewbyshipg_idx, indexType=COMPOSITES}]}:0. Scanning with crewbyship.crewbyshipg_idx. [SharedPool-Worker-2] | 2015-04-22 06:17:48.123000 | 192.168.23.129 | 10936
Candidate index mean cardinalities are CompositesIndexOnRegular{columnDefs=[ColumnDefinition{name=gender, type=org.apache.cassandra.db.marshal.UTF8Type, kind=REGULAR, componentIndex=1, indexName=crewbyshipg_idx, indexType=COMPOSITES}]}:0. Scanning with crewbyship.crewbyshipg_idx. [SharedPool-Worker-2] | 2015-04-22 06:17:48.123000 | 192.168.23.129 | 11007
Executing single-partition query on crewbyship.crewbyshipg_idx [SharedPool-Worker-2] | 2015-04-22 06:17:48.123000 | 192.168.23.129 | 11130
Acquiring sstable references [SharedPool-Worker-2] | 2015-04-22 06:17:48.123000 | 192.168.23.129 | 11139
Merging memtable tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:48.124000 | 192.168.23.129 | 11155
Skipped 0/0 non-slice-intersecting sstables, included 0 due to tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:48.124000 | 192.168.23.129 | 11253
Merging data from memtables and 0 sstables [SharedPool-Worker-2] | 2015-04-22 06:17:48.124000 | 192.168.23.129 | 11262
Read 1 live and 0 tombstoned cells [SharedPool-Worker-2] | 2015-04-22 06:17:48.127000 | 192.168.23.129 | 11281
Executing single-partition query on crewbyship [SharedPool-Worker-2] | 2015-04-22 06:17:48.130000 | 192.168.23.129 | 11369
Acquiring sstable references [SharedPool-Worker-2] | 2015-04-22 06:17:48.131000 | 192.168.23.129 | 11375
Merging memtable tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:48.131000 | 192.168.23.129 | 11383
Skipped 0/0 non-slice-intersecting sstables, included 0 due to tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:48.133000 | 192.168.23.129 | 11409
Merging data from memtables and 0 sstables [SharedPool-Worker-2] | 2015-04-22 06:17:48.134000 | 192.168.23.129 | 11415
Read 1 live and 0 tombstoned cells [SharedPool-Worker-2] | 2015-04-22 06:17:48.138000 | 192.168.23.129 | 11430
Scanned 1 rows and matched 1 [SharedPool-Worker-2] | 2015-04-22 06:17:48.138000 | 192.168.23.129 | 11490
Request complete | 2015-04-22 06:17:48.115679 | 192.168.23.129 | 13679
现在，我将重新运行 相同的查询，但没有 gender 上的多余索引。
aploetz@cqlsh:Whosebug2> SELECT * FROM crewByShip WHERE ship='Serenity' AND id=3;
ship | id | firstname | gender | lastname
----------+----+-----------+--------+----------
Serenity | 3 | Malcolm | M | Reynolds
(1 rows)
Tracing session: 38d7f440-e8e1-11e4-9cb7-21b264d4c94d
activity | timestamp | source | source_elapsed
-------------------------------------------------------------------------------------------------+----------------------------+----------------+----------------
Execute CQL3 query | 2015-04-22 06:17:54.692000 | 192.168.23.129 | 0
Parsing SELECT * FROM crewByShip WHERE ship='Serenity' AND id=3; [SharedPool-Worker-1] | 2015-04-22 06:17:54.695000 | 192.168.23.129 | 87
Preparing statement [SharedPool-Worker-1] | 2015-04-22 06:17:54.696000 | 192.168.23.129 | 246
Executing single-partition query on users [SharedPool-Worker-3] | 2015-04-22 06:17:54.697000 | 192.168.23.129 | 1185
Acquiring sstable references [SharedPool-Worker-3] | 2015-04-22 06:17:54.698000 | 192.168.23.129 | 1197
Merging memtable tombstones [SharedPool-Worker-3] | 2015-04-22 06:17:54.698000 | 192.168.23.129 | 1215
Key cache hit for sstable 1 [SharedPool-Worker-3] | 2015-04-22 06:17:54.700000 | 192.168.23.129 | 1249
Seeking to partition beginning in data file [SharedPool-Worker-3] | 2015-04-22 06:17:54.700000 | 192.168.23.129 | 1278
Skipped 0/1 non-slice-intersecting sstables, included 0 due to tombstones [SharedPool-Worker-3] | 2015-04-22 06:17:54.701000 | 192.168.23.129 | 3309
Merging data from memtables and 1 sstables [SharedPool-Worker-3] | 2015-04-22 06:17:54.701000 | 192.168.23.129 | 3333
Read 1 live and 0 tombstoned cells [SharedPool-Worker-3] | 2015-04-22 06:17:54.702000 | 192.168.23.129 | 3368
Executing single-partition query on crewbyship [SharedPool-Worker-2] | 2015-04-22 06:17:54.702000 | 192.168.23.129 | 4607
Acquiring sstable references [SharedPool-Worker-2] | 2015-04-22 06:17:54.704000 | 192.168.23.129 | 4633
Merging memtable tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:54.704000 | 192.168.23.129 | 4643
Skipped 0/0 non-slice-intersecting sstables, included 0 due to tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:54.705000 | 192.168.23.129 | 4678
Merging data from memtables and 0 sstables [SharedPool-Worker-2] | 2015-04-22 06:17:54.705000 | 192.168.23.129 | 4683
Read 1 live and 0 tombstoned cells [SharedPool-Worker-2] | 2015-04-22 06:17:54.706000 | 192.168.23.129 | 4697
Request complete | 2015-04-22 06:17:54.697676 | 192.168.23.129 | 5676
如您所见，使用二级索引的查询的 "source_elapsed" 是不使用索引的同一查询（返回同一行）的两倍多。
我想我们可以肯定地说，在宽行 table 的低基数列上使用二级索引 不会 表现良好。现在虽然我不会说过滤客户端是个好主意，在这种情况下，如果结果集较小，它可能是更好的选择。
众所周知，在 cassandra 中，应该非常谨慎地使用二级索引。
如果我有 table 例如：
User(username, usertype, email, etc..)
这里的用户名是分区键。现在我想支持当且仅当用户类型是特定值 X.returns 特定用户（将给出用户名）的操作。
我有两种方法可以做到：
一个： 在用户类型上创建二级索引，可能的值（'A'、'B'、'C'） 用户名是分区键。
SELECT * FROM user WHERE username='something' AND usertype='A';
两个：
我可以只将带有用户名的行提取到客户端，然后检查用户类型是否为 A。
哪种方法更好？还请考虑一个宽行（不是很大，10 秒）的场景，其中并非分区的所有行都可能具有给定值（这需要一些客户端过滤）。
我不清楚二级索引是如何在特定节点中查找数据的。
例如：SELECT * FROM user WHERE username='something' AND usertype='A'
例如usertype hidden CF有数据'A'-> 'jhon', 'miller', 'chris',...等, 100个用户名
并且带有分区键的查询与用户类型一起给出，它是扫描所有这 100 个用户名以与用户名 'something' 匹配，还是只是先按用户名获取，如果匹配则查看用户类型列'A'？ 它究竟是如何进行搜索的？给定索引在低基数数据上并且每个索引都映射到许多行，查询票价如何？
如果重要的话，我正在使用 java 作为客户端。
更新： 我知道我可以为这个特定的例子使用集群（用户类型）键，但我想知道我问过的权衡。我原来的table要复杂得多。
这里最好的选择是创建一个由用户名和用户类型组成的复合主键，用户名是分区键，用户类型是集群键。您甚至不需要索引，查询也能正常工作。
CREATE TABLE users (
username text,
usertype text,
....
PRIMARY KEY ((username), usertype)
)
对于这个例子，假设我创建了一个 table 来按船和 ID 跟踪船员：
CREATE TABLE crewByShip (
ship text,
id int,
firstname text,
lastname text,
gender text,
PRIMARY KEY(ship,id));
我会在 gender:
CREATE INDEX crewByShipG_idx ON crewByShip(gender);
插入一些数据后，我的 table 看起来像这样：
ship | id | firstname | gender | lastname
----------+----+-----------+--------+-----------
Serenity | 1 | Hoban | M | Washburne
Serenity | 2 | Zoey | F | Washburne
Serenity | 3 | Malcolm | M | Reynolds
Serenity | 4 | Kaylee | F | Frye
Serenity | 5 | Sheppard | M | Book
Serenity | 6 | Jayne | M | Cobb
Serenity | 7 | Simon | M | Tam
Serenity | 8 | River | F | Tam
Serenity | 9 | Inara | F | Serra
现在我将打开跟踪，并使用 PRIMARY KEY 查询不同的行，但也受我们在 gender 上的索引限制。
aploetz@cqlsh:Whosebug2> tracing on;
aploetz@cqlsh:Whosebug2> SELECT * FROM crewByShip WHERE ship='Serenity' AND id=3 AND gender='M';
ship | id | firstname | gender | lastname
----------+----+-----------+--------+----------
Serenity | 3 | Malcolm | M | Reynolds
(1 rows)
Tracing session: 34ea1840-e8e1-11e4-9cb7-21b264d4c94d
activity | timestamp | source | source_elapsed
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------+----------------+----------------
Execute CQL3 query | 2015-04-22 06:17:48.102000 | 192.168.23.129 | 0
Parsing SELECT * FROM crewByShip WHERE ship='Serenity' AND id=3 AND gender='M'; [SharedPool-Worker-1] | 2015-04-22 06:17:48.114000 | 192.168.23.129 | 3715
Preparing statement [SharedPool-Worker-1] | 2015-04-22 06:17:48.116000 | 192.168.23.129 | 4846
Executing single-partition query on users [SharedPool-Worker-2] | 2015-04-22 06:17:48.118000 | 192.168.23.129 | 5730
Acquiring sstable references [SharedPool-Worker-2] | 2015-04-22 06:17:48.118000 | 192.168.23.129 | 5757
Merging memtable tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:48.119000 | 192.168.23.129 | 5793
Key cache hit for sstable 1 [SharedPool-Worker-2] | 2015-04-22 06:17:48.119000 | 192.168.23.129 | 5848
Seeking to partition beginning in data file [SharedPool-Worker-2] | 2015-04-22 06:17:48.120000 | 192.168.23.129 | 5856
Skipped 0/1 non-slice-intersecting sstables, included 0 due to tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:48.120000 | 192.168.23.129 | 7056
Merging data from memtables and 1 sstables [SharedPool-Worker-2] | 2015-04-22 06:17:48.121000 | 192.168.23.129 | 7080
Read 1 live and 0 tombstoned cells [SharedPool-Worker-2] | 2015-04-22 06:17:48.122000 | 192.168.23.129 | 7143
Computing ranges to query [SharedPool-Worker-1] | 2015-04-22 06:17:48.122000 | 192.168.23.129 | 7578
Candidate index mean cardinalities are CompositesIndexOnRegular{columnDefs=[ColumnDefinition{name=gender, type=org.apache.cassandra.db.marshal.UTF8Type, kind=REGULAR, componentIndex=1, indexName=crewbyshipg_idx, indexType=COMPOSITES}]}:0. Scanning with crewbyship.crewbyshipg_idx. [SharedPool-Worker-1] | 2015-04-22 06:17:48.122000 | 192.168.23.129 | 7742
Submitting range requests on 1 ranges with a concurrency of 1 (0.0 rows per range expected) [SharedPool-Worker-1] | 2015-04-22 06:17:48.122000 | 192.168.23.129 | 7807
Submitted 1 concurrent range requests covering 1 ranges [SharedPool-Worker-1] | 2015-04-22 06:17:48.122000 | 192.168.23.129 | 7851
Executing indexed scan for [Serenity, Serenity] [SharedPool-Worker-2] | 2015-04-22 06:17:48.123000 | 192.168.23.129 | 10848
Candidate index mean cardinalities are CompositesIndexOnRegular{columnDefs=[ColumnDefinition{name=gender, type=org.apache.cassandra.db.marshal.UTF8Type, kind=REGULAR, componentIndex=1, indexName=crewbyshipg_idx, indexType=COMPOSITES}]}:0. Scanning with crewbyship.crewbyshipg_idx. [SharedPool-Worker-2] | 2015-04-22 06:17:48.123000 | 192.168.23.129 | 10936
Candidate index mean cardinalities are CompositesIndexOnRegular{columnDefs=[ColumnDefinition{name=gender, type=org.apache.cassandra.db.marshal.UTF8Type, kind=REGULAR, componentIndex=1, indexName=crewbyshipg_idx, indexType=COMPOSITES}]}:0. Scanning with crewbyship.crewbyshipg_idx. [SharedPool-Worker-2] | 2015-04-22 06:17:48.123000 | 192.168.23.129 | 11007
Executing single-partition query on crewbyship.crewbyshipg_idx [SharedPool-Worker-2] | 2015-04-22 06:17:48.123000 | 192.168.23.129 | 11130
Acquiring sstable references [SharedPool-Worker-2] | 2015-04-22 06:17:48.123000 | 192.168.23.129 | 11139
Merging memtable tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:48.124000 | 192.168.23.129 | 11155
Skipped 0/0 non-slice-intersecting sstables, included 0 due to tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:48.124000 | 192.168.23.129 | 11253
Merging data from memtables and 0 sstables [SharedPool-Worker-2] | 2015-04-22 06:17:48.124000 | 192.168.23.129 | 11262
Read 1 live and 0 tombstoned cells [SharedPool-Worker-2] | 2015-04-22 06:17:48.127000 | 192.168.23.129 | 11281
Executing single-partition query on crewbyship [SharedPool-Worker-2] | 2015-04-22 06:17:48.130000 | 192.168.23.129 | 11369
Acquiring sstable references [SharedPool-Worker-2] | 2015-04-22 06:17:48.131000 | 192.168.23.129 | 11375
Merging memtable tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:48.131000 | 192.168.23.129 | 11383
Skipped 0/0 non-slice-intersecting sstables, included 0 due to tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:48.133000 | 192.168.23.129 | 11409
Merging data from memtables and 0 sstables [SharedPool-Worker-2] | 2015-04-22 06:17:48.134000 | 192.168.23.129 | 11415
Read 1 live and 0 tombstoned cells [SharedPool-Worker-2] | 2015-04-22 06:17:48.138000 | 192.168.23.129 | 11430
Scanned 1 rows and matched 1 [SharedPool-Worker-2] | 2015-04-22 06:17:48.138000 | 192.168.23.129 | 11490
Request complete | 2015-04-22 06:17:48.115679 | 192.168.23.129 | 13679
现在，我将重新运行 相同的查询，但没有 gender 上的多余索引。
aploetz@cqlsh:Whosebug2> SELECT * FROM crewByShip WHERE ship='Serenity' AND id=3;
ship | id | firstname | gender | lastname
----------+----+-----------+--------+----------
Serenity | 3 | Malcolm | M | Reynolds
(1 rows)
Tracing session: 38d7f440-e8e1-11e4-9cb7-21b264d4c94d
activity | timestamp | source | source_elapsed
-------------------------------------------------------------------------------------------------+----------------------------+----------------+----------------
Execute CQL3 query | 2015-04-22 06:17:54.692000 | 192.168.23.129 | 0
Parsing SELECT * FROM crewByShip WHERE ship='Serenity' AND id=3; [SharedPool-Worker-1] | 2015-04-22 06:17:54.695000 | 192.168.23.129 | 87
Preparing statement [SharedPool-Worker-1] | 2015-04-22 06:17:54.696000 | 192.168.23.129 | 246
Executing single-partition query on users [SharedPool-Worker-3] | 2015-04-22 06:17:54.697000 | 192.168.23.129 | 1185
Acquiring sstable references [SharedPool-Worker-3] | 2015-04-22 06:17:54.698000 | 192.168.23.129 | 1197
Merging memtable tombstones [SharedPool-Worker-3] | 2015-04-22 06:17:54.698000 | 192.168.23.129 | 1215
Key cache hit for sstable 1 [SharedPool-Worker-3] | 2015-04-22 06:17:54.700000 | 192.168.23.129 | 1249
Seeking to partition beginning in data file [SharedPool-Worker-3] | 2015-04-22 06:17:54.700000 | 192.168.23.129 | 1278
Skipped 0/1 non-slice-intersecting sstables, included 0 due to tombstones [SharedPool-Worker-3] | 2015-04-22 06:17:54.701000 | 192.168.23.129 | 3309
Merging data from memtables and 1 sstables [SharedPool-Worker-3] | 2015-04-22 06:17:54.701000 | 192.168.23.129 | 3333
Read 1 live and 0 tombstoned cells [SharedPool-Worker-3] | 2015-04-22 06:17:54.702000 | 192.168.23.129 | 3368
Executing single-partition query on crewbyship [SharedPool-Worker-2] | 2015-04-22 06:17:54.702000 | 192.168.23.129 | 4607
Acquiring sstable references [SharedPool-Worker-2] | 2015-04-22 06:17:54.704000 | 192.168.23.129 | 4633
Merging memtable tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:54.704000 | 192.168.23.129 | 4643
Skipped 0/0 non-slice-intersecting sstables, included 0 due to tombstones [SharedPool-Worker-2] | 2015-04-22 06:17:54.705000 | 192.168.23.129 | 4678
Merging data from memtables and 0 sstables [SharedPool-Worker-2] | 2015-04-22 06:17:54.705000 | 192.168.23.129 | 4683
Read 1 live and 0 tombstoned cells [SharedPool-Worker-2] | 2015-04-22 06:17:54.706000 | 192.168.23.129 | 4697
Request complete | 2015-04-22 06:17:54.697676 | 192.168.23.129 | 5676
如您所见，使用二级索引的查询的 "source_elapsed" 是不使用索引的同一查询（返回同一行）的两倍多。
我想我们可以肯定地说，在宽行 table 的低基数列上使用二级索引 不会 表现良好。现在虽然我不会说过滤客户端是个好主意，在这种情况下，如果结果集较小，它可能是更好的选择。