![]() Took just over 10 hours from a t2-medium EC2 to db.t2. Works great on huge files too! Just sent a 8.2GB file via this method (260 million rows).execute ( INSERT INTO test VALUES To execute the script. ![]() ![]() Then, after connecting to your database via CL, youd do something like: mysql> LOAD DATA LOCAL INFILE C:/upload. For large loads, consider spinning up a new EC2 instance, installing MySQL CL tools, and transferring your file to that machine. Without LOCAL, the file must be on the DB server (not possible to transfer it there in advance with RDS) The credentials we need to use are Server Name Database Name and the table we want to connect to. This is easiest and most hands-off by using MySQL command line. "LOCAL" flag actually transfers the file from your client machine (where you're running the command) to the DB server.AWS' Aurora RDS is MySQL-compatible so command works there too.If you're hesitant to use CL, download MySQL Workbench. Then, after connecting to your database via CL, you'd do something like: mysql> LOAD DATA LOCAL INFILE 'C:/upload.csv' INTO TABLE myTable Īlso options to match your file's details and ignore header (plenty more in the docs) mysql> LOAD DATA LOCAL INFILE 'C:/upload.csv' INTO TABLE myTable FIELDS TERMINATED BY ',' csv file into SQL Server using BULK INSERT and I have few basic questions. For large loads, consider spinning up a new EC2 instance, installing MySQL CL tools, and transferring your file to that machine. Import CSV file into SQL Server Ask Question Asked 10 years, 5 months ago Modified 9 months ago Viewed 1.0m times 238 I am looking for help to import a. How to import multiple CSV files into multiple SQL Server tables in one go. In this example a 1mb CSV files with roughly 9,000 rows is imported into a new SQL Server table.This example use. In your case you just need GetFile -> PutDatabaseRecord. This is easiest and most hands-off by using MySQL command line. An example of SQLPro's import functionality. PutDatabaseRecord allows you to put multiple records from one flow file into a database at a time, without requiring the user to convert to SQL (you can use PutSQL for the latter, but it is less efficient).
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