Translation

English
English Chinese (Traditional)
%d Week %d週
%d Weeks 最後%d週
%d Month %d月
%d Months 最後%d個月
%d Year %d年
Database Partitioning Scheme 數據庫分區方案
Depending on the number of flows per minute, you may require more tables per day. 根據每分鐘的流數,您可能每天需要更多表。
Daily 每日
Hourly 每小時
Storage Engine for Raw Tables 原始表的儲存引擎
The Aria Engine is perfect for all but the Live raw table. The Live raw table will always be InnoDB. Take your pick. Aria Engine 非常適合除 Live raw 表以外的所有內容。 Live raw 表將始終為 InnoDB。 任您挑選。
Aria (Fast, Crash Safe) Aria(快速、碰撞安全)
InnoDB (Slow, High Concurrency) InnoDB(慢速、高併發)
Parallel Queries 並行查詢
Max Concurrent Threads 最大併發線程數
The maximum number of threads that will be dispatched to run the FlowView queries. Note that you can have at most 1 thread per database partition, and you should be careful not to overload your database server with having too many concurrent threads running. 為運行 FlowView 查詢而調度的最大線程數。 請注意,每個資料庫分區最多可以有1個線程,並且應注意不要因運行過多的併發線程而使資料庫伺服器過載。
Disabled 停用
%d Threads %d個主題
Maximum Run Time 最大行數
If the Parallel Query does not finish in this time, exit. 如果並行查詢在此時間內未完成,請退出。
%d Minute %d 分鐘
%d Minutes %d 分鐘
Cached Data Time to Live 快取資料存留時間
How long should FlowView hold onto Cached Query results before purging them? 在清除緩存查詢結果之前,FlowView 應將緩存查詢結果保留多長時間?
%d Hours %d 小時
%d Day %d 天
%d Days %d 天
MaxScale Sharding MaxScale 分片
Leverage MaxScale to Distribute Query Shards 利用 MaxScale 分發查詢分片
If you have multiple service acting as slaves for MaxScale, you can increase the speed of querying by distributing the parallel queries to multiple MariaDB backend servers. 如果您有多個服務充當 MaxScale 的從屬伺服器,則可以通過將並行查詢分發到多個 MariaDB 後端伺服器來提高查詢速度。
MaxScale Read-Only Port MaxScale 只讀埠

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English Chinese (Traditional)
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String information

Source string location
setup.php:469
String age
4 months ago
Source string age
4 months ago
Translation file
locales/po/zh-TW.po, string 577