1：Aerospike Query Language
类似于SQL命令。可以用来管理索引和用户自定义函数，也可以测试大多数数据库的功能。
[root@localhost ~]#aql OPTIONS -h <host> #Default: 127.0.0.1 -p <port> #Default: 3000 -c <command> -f <filepath> -v #Enable verbose output. -e #Enable echoing of commands. -T <milliseconds> #Set the timeout (ms) for commands.#Default: 1000 -o (json | table) #Set the output mode.Default: table -u <path> #Path to User managed UDF modules. -s <path> #Path to the System managed UDF modules. --help #Displays the usage information
- Data Management
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aql> show namespaces aql> show sets aql> show bins
- UDF Management
- Index Management
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SHOW INDEXES [<ns>] 例子：show indexes test CREATE INDEX <index> ON <ns>[.<set>] (<bin>) <type> 例子：create index idx_ind2 on test.ind('uname') string DROP INDEX <ns> <index> 例子：drop index test idx_ind2 asinfo -v "sindex-repair:ns=test;indexname=ind_name;set=set_name;" +-------+--------------+ | state | sync_state | +-------+--------------+ | "RW" | "need_sync" | +-------+--------------+ 例子：asinfo -v "sindex-repair:ns=test;indexname=idx_ind;set=ind;" - Query and Scan Management
- Record Operations
- Querying Records
- Statistics
- Settings
2：Backup and Restore
Use a node outside the cluster and, in a distributed way, pull out all the cluster's data into a text file. Or, restore the data from one of these files. Source is included, allowing this tool to be modified.
3：Aerospike Monitor
实时的监控集群的大小和健康状态。
4：Aerospike Admin
实时的监控集群的大小和健康状态。并且提供了管理集群的函数，该工具很快会替换Aerospike Monitor
5：Log Latency Tool
Aerospike contains a number of settings that allow latency issues in a server to be diagnosed. This tool analyzes a logfile and displays the different components of a transaction.
6：Aerospike Command Line
支持JSON的命令行工具，可以设置和查询集群中的数据，也可以管理自定义函数
7：Aerospike Info
This low-level tool can make requests to an individual server over Aerospike's command language. Useful for gathering statistics, and also setting a variety of tuning parameters. Often used by higher level scripts.
8：Command Line Utility
This simple tools allows setting and getting individual values from the cluster. Good for basic validation.