


How Can I Efficiently Transfer Large Datasets from Excel to Access Using SQL?
Using SQL Insert Statement to Efficiently Transfer Data from Excel to Access
In your Excel VBA code, you were manually looping through each row of data to insert values into an Access table. While this approach works for small datasets, it becomes inefficient for large datasets like 25,000 records.
Instead, you can utilize SQL INSERT statements to insert multiple rows at once, drastically reducing the processing time. The following revised code demonstrates how:
Public Sub DoTrans() Set cn = CreateObject("ADODB.Connection") dbPath = Application.ActiveWorkbook.Path & "\FDData.mdb" dbWb = Application.ActiveWorkbook.FullName dbWs = Application.ActiveSheet.Name scn = "Provider=Microsoft.Jet.OLEDB.4.0;Data Source=" & dbPath dsh = "[" & Application.ActiveSheet.Name & "$]" cn.Open scn ssql = "INSERT INTO fdFolio ([fdName], [fdOne], [fdTwo]) " ssql = ssql & "SELECT * FROM [Excel 8.0;HDR=YES;DATABASE=" & dbWb & "]." & dsh cn.Execute ssql End Sub
By using the SQL INSERT statement shown in line 11, all rows from the Excel range are inserted into the Access table at once. This eliminates the need for the loop and significantly improves performance.
Although you mentioned wanting to specify field names instead of using "SELECT *", the code provided does not demonstrate that. If you require assistance with setting specific field names, please provide the desired field names, and we can help you modify the code accordingly.
The above is the detailed content of How Can I Efficiently Transfer Large Datasets from Excel to Access Using SQL?. For more information, please follow other related articles on the PHP Chinese website!

MySQL'sBLOBissuitableforstoringbinarydatawithinarelationaldatabase,whileNoSQLoptionslikeMongoDB,Redis,andCassandraofferflexible,scalablesolutionsforunstructureddata.BLOBissimplerbutcanslowdownperformancewithlargedata;NoSQLprovidesbetterscalabilityand

ToaddauserinMySQL,use:CREATEUSER'username'@'host'IDENTIFIEDBY'password';Here'showtodoitsecurely:1)Choosethehostcarefullytocontrolaccess.2)SetresourcelimitswithoptionslikeMAX_QUERIES_PER_HOUR.3)Usestrong,uniquepasswords.4)EnforceSSL/TLSconnectionswith

ToavoidcommonmistakeswithstringdatatypesinMySQL,understandstringtypenuances,choosetherighttype,andmanageencodingandcollationsettingseffectively.1)UseCHARforfixed-lengthstrings,VARCHARforvariable-length,andTEXT/BLOBforlargerdata.2)Setcorrectcharacters

MySQloffersechar, Varchar, text, Anddenumforstringdata.usecharforfixed-Lengthstrings, VarcharerForvariable-Length, text forlarger text, AndenumforenforcingdataAntegritywithaetofvalues.

Optimizing MySQLBLOB requests can be done through the following strategies: 1. Reduce the frequency of BLOB query, use independent requests or delay loading; 2. Select the appropriate BLOB type (such as TINYBLOB); 3. Separate the BLOB data into separate tables; 4. Compress the BLOB data at the application layer; 5. Index the BLOB metadata. These methods can effectively improve performance by combining monitoring, caching and data sharding in actual applications.

Mastering the method of adding MySQL users is crucial for database administrators and developers because it ensures the security and access control of the database. 1) Create a new user using the CREATEUSER command, 2) Assign permissions through the GRANT command, 3) Use FLUSHPRIVILEGES to ensure permissions take effect, 4) Regularly audit and clean user accounts to maintain performance and security.

ChooseCHARforfixed-lengthdata,VARCHARforvariable-lengthdata,andTEXTforlargetextfields.1)CHARisefficientforconsistent-lengthdatalikecodes.2)VARCHARsuitsvariable-lengthdatalikenames,balancingflexibilityandperformance.3)TEXTisidealforlargetextslikeartic

Best practices for handling string data types and indexes in MySQL include: 1) Selecting the appropriate string type, such as CHAR for fixed length, VARCHAR for variable length, and TEXT for large text; 2) Be cautious in indexing, avoid over-indexing, and create indexes for common queries; 3) Use prefix indexes and full-text indexes to optimize long string searches; 4) Regularly monitor and optimize indexes to keep indexes small and efficient. Through these methods, we can balance read and write performance and improve database efficiency.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

Atom editor mac version download
The most popular open source editor

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool
