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In this blog post regardingMySQL for Excelnew features included in the 1.2.x versions family, we are going to talk about a new option that is used along withEditMySQLDataoperations; very useful when editing data in a multi-user environment. If you are not familiar with editingMySQLdata it is very advisable that you visit our thorough blog post about that topic: How To - Guide to editingMySQLdata withinExcel.
Remember you can install the latest GA or maintenance version using theMySQL Installeror optionally you can download directly any GA or non-GA version from theMySQL Developer Zone.
MySQL for Excel allows inserting, deleting and updating a table's rows usingExcelas a friendly front-end; a snapshot of the selectedMySQLtable is imported into aExcelworksheet and the Edit Session works with that detached copy of the data. Any changes done to that copy are translated into SQL statements that are applied against the selected MySQLtable. So far, so good.
In a multi-user environment, more than 1 person may be performing changes to the exact same records on a specificMySQLtable meaning the changes done by one person can be overwritten by another unless records are explicitly locked. By designMySQL for Exceldoes not lock a table when its data is imported to open an Edit Session because it is simply not practical, the session may be left open by a user for an unknown amount of time which can be very long, hence the disconnected nature of the Edit Session.
In all previous 1.x versions what could happen if 2 different persons were editing the exact same MySQL table would be the following as illustrated in the image below:
- User 1 (orange) opens an Edit Session against a MySQL table.
- User 2 (purple) also opens an Edit Session against the same MySQL table.
- User 2 modifies a record where C1 =1, modifies C2 =b, C3 =jand C4 =z, then commits the modifications.
- User 1 modifies the same record where C1 =1, modifies C2 =w, then commits that single modification.
- User 2 retrieves again from the database the record where C1 =1and notices C2 =wand is left wondering why since he expected it to have a value ofb.
InMySQL for Excel1.2.0 we introduced a new global option to allow optimistic updates to be used on Edit Sessions to avoid overwriting any data that may have been modified by another user between the moment the Edit Session retrieved/refreshed the data from the database and the moment the Edit Session changes are committed. The Global Options dialog can be accessed from the Optionsbutton located in the Schema Selection panel or the DB Objects Selection one as shown below.
After clicking onOptionstheGlobal Advanced Optionsdialog will appear, under theSQL Queries Optionssection there is an option calledUse optimistic updates on all Edit Data sessionsthat if checked (which is by default) it will prevent the unintentional overwriting we mentioned above on all Edit Sessions inMySQL for Excel.
The use of optimistic updates can also be turned on/off for all Edit Sessions or a specific one by right-clicking the Edit Session floating dialog and selecting from the context menuUse Optimistic Update For all sessionsorFor this sessionrespectively.
To understand better the mechanism of how the unintentional overwriting is done inMySQL for Excelwe can take a look at the SQL statements generated without and with optimistic updates turned on. As an example, lets say we have an Edit Session open for theMySQLtableactor_copy, we turn off optimistic updates for this single session (unchecking the option in the screenshot above), and then we change some data as we can see in the screenshot below.
Now having turned on thePreview SQL statements before they are sent to the serverglobal option (look at the screenshot with the global options up above) we can inspect the SQL statements generated byMySQL for Excelto apply the modifications after clickingCommit Changes. In the screenshot below you can notice how the WHEREclause of theUPDATEstatements reference just the primary key columns of the table. We will clickCanceland not commit these changes.
If then we turn back on optimistic updates for this Edit Session, and clickCommit Changesagain we will be able to see how the SQL statements for the same modifications look like using optimistic updates. In the screenshot below you can notice how the WHEREclause of theUPDATE statements reference all columns in the table, this way if any value of a record was changed by another user, the record will not be found and that UPDATE statement will not do anything.
Lets say that before we hitApplyanother user is making modifications to theactor_copytable usingMySQL Workbench, and they change thelast_name column's value from"LEWIS"to"LOPEZ"of the record whereactor_id=4, and commit the change as seen in the screenshot below.
Then we commit our changes inMySQL for Excel. Since another user committed a change on the record whereactor_id=4, theWHEREclause of the firstUPDATEstatement generated with optimistic updates turned on (see 2 screenshots above) will not find the record it was supposed to, and as we expected that change will not be unintentionally overwritten by the changes done inMySQL for Excel. The cells that encountered optimistic updates conflicts will be colored orange and the information dialog that displays the operation results will show the conflicts as warnings as you can see below.
At this point all non-conflicting changes are committed to the database, but the conflicting changes are not. In order to fix the conflicts we need to locate the orange colored cells that depict the conflicting data, retrieve a fresh snapshot of data from the database by clickingRevert Dataon the Edit Session dialog thenRefresh Data from DB, then re-apply our changes on the conflicting cells and commit those changes again.
Optimistic updates makes Edit MySQL Data operations inMySQL for Excelmore friendly in multi-user environments and can prevent some data updating concurrency troubles. We hope you give this and the other new features inMySQL for Excela try!
Remember that your feedback is very important for us, so drop us a message and follow us:
- MySQL on Windows (this) Blog:https://blogs.oracle.com/MySqlOnWindows/
- MySQL for Excel forum:http://forums.mysql.com/list.php?172
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- YouTube channel:https://www.youtube.com/user/MySQLChannel
Cheers!

MySQL是一種開源的關係型數據庫管理系統,主要用於快速、可靠地存儲和檢索數據。其工作原理包括客戶端請求、查詢解析、執行查詢和返回結果。使用示例包括創建表、插入和查詢數據,以及高級功能如JOIN操作。常見錯誤涉及SQL語法、數據類型和權限問題,優化建議包括使用索引、優化查詢和分錶分區。

MySQL是一個開源的關係型數據庫管理系統,適用於數據存儲、管理、查詢和安全。 1.它支持多種操作系統,廣泛應用於Web應用等領域。 2.通過客戶端-服務器架構和不同存儲引擎,MySQL高效處理數據。 3.基本用法包括創建數據庫和表,插入、查詢和更新數據。 4.高級用法涉及復雜查詢和存儲過程。 5.常見錯誤可通過EXPLAIN語句調試。 6.性能優化包括合理使用索引和優化查詢語句。

選擇MySQL的原因是其性能、可靠性、易用性和社區支持。 1.MySQL提供高效的數據存儲和檢索功能,支持多種數據類型和高級查詢操作。 2.採用客戶端-服務器架構和多種存儲引擎,支持事務和查詢優化。 3.易於使用,支持多種操作系統和編程語言。 4.擁有強大的社區支持,提供豐富的資源和解決方案。

InnoDB的鎖機制包括共享鎖、排他鎖、意向鎖、記錄鎖、間隙鎖和下一個鍵鎖。 1.共享鎖允許事務讀取數據而不阻止其他事務讀取。 2.排他鎖阻止其他事務讀取和修改數據。 3.意向鎖優化鎖效率。 4.記錄鎖鎖定索引記錄。 5.間隙鎖鎖定索引記錄間隙。 6.下一個鍵鎖是記錄鎖和間隙鎖的組合,確保數據一致性。

MySQL查询性能不佳的原因主要包括没有使用索引、查询优化器选择错误的执行计划、表设计不合理、数据量过大和锁竞争。1.没有索引导致查询缓慢,添加索引后可显著提升性能。2.使用EXPLAIN命令可以分析查询计划,找出优化器错误。3.重构表结构和优化JOIN条件可改善表设计问题。4.数据量大时,采用分区和分表策略。5.高并发环境下,优化事务和锁策略可减少锁竞争。

在數據庫優化中,應根據查詢需求選擇索引策略:1.當查詢涉及多個列且條件順序固定時,使用複合索引;2.當查詢涉及多個列但條件順序不固定時,使用多個單列索引。複合索引適用於優化多列查詢,單列索引則適合單列查詢。

要優化MySQL慢查詢,需使用slowquerylog和performance_schema:1.啟用slowquerylog並設置閾值,記錄慢查詢;2.利用performance_schema分析查詢執行細節,找出性能瓶頸並優化。

MySQL和SQL是開發者必備技能。 1.MySQL是開源的關係型數據庫管理系統,SQL是用於管理和操作數據庫的標準語言。 2.MySQL通過高效的數據存儲和檢索功能支持多種存儲引擎,SQL通過簡單語句完成複雜數據操作。 3.使用示例包括基本查詢和高級查詢,如按條件過濾和排序。 4.常見錯誤包括語法錯誤和性能問題,可通過檢查SQL語句和使用EXPLAIN命令優化。 5.性能優化技巧包括使用索引、避免全表掃描、優化JOIN操作和提升代碼可讀性。


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