You can provide a unique name to your Pipeline and information such as Port Number, Username, Password, etc. Step 1: Connect Hevo Data with your system by setting FTP/SFTP as a source.To effortlessly load data from file to table in MySQL using Hevo, follow the simple steps given below: Using Hevo, you can easily upload files to your MySQL database in formats such as CSV, JSON to MySQL, and XML. Hevo Data is the only No-code Data Pipeline solution that can cost-effectively help you move data from 150+ data sources like FTP/SFTP & Google Sheets to your desired destination, such as MySQL and other Data Warehouses, in a completely hassle-free & automated manner. To seamlessly load data from file to table in MySQL, you can go through the following methods: Method 1: Using Hevo Data to Load Data from File to Table in MySQL Understanding Data Loading in MySQL Methods This tool is a good option if you require to perform data transfer once in a while with little to no data transformation. This method would require installing the phpMyAdmin database administration tool to load data from file to table in MySQL. Method 3: Using phpMyAdmin to Load Data from File to Table in MySQL This method is suitable for users with a technical background. Users will have to write custom SQL statements or use the MySQL Workbench user interface to load data from file to table in MySQL. This method would be time-consuming and somewhat tedious to implement. Method 2: Using Command-Line and MySQL Workbench to Load Data from File to Table in MySQL Hevo is fully managed and completely automates the process of not only loading data from CSV files but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code. Using Hevo you can easily upload files in formats such as CSV, JSON, and XML to your MySQL Database within minutes with an easy-to-use no-code interface. Method 1: Using Hevo Data to Load Data from File to Table in MySQL To load data from file to table in MySQL, check out the following three methods: The times should increase linearly, but it grows out of control quick.MySQL is a popular Open-Source Relational Database Management system that allows you to effectively store and manage data using simple SQL commands or via its simple user interface MySQL Workbench. On the command line produce a test statement like this:Įcho "INSERT INTO reproduce_bug VALUES ('a', 'b', 'c', 'd', 'e', 'f', 'g', 'h')" > rbįor i in do echo ", ('a', 'b', 'c', 'd', 'e', 'f', 'g', 'h')" > rb done I reproduced the bug again, although I have limited the test data because I have not much time at hand, so there was no timeout, but with enough data I bet there would be as the times to execute the statement differs hugely.Ĭreate table reproduce_bug (a varchar(5), b varchar(5), c varchar(5), d varchar(5), e varchar(5), f varchar(5), g varchar(5), h varchar(5)) Shell> mysql -u user -h remote_5_7_host my_database mysql -u user my_database < file_with_huge_insert_stmt When I use a 5.6.21 client on another machine to import the statement on the 5.7 server, like this: Several minutes after this error message I get this on the command line:ĮRROR 2006 (HY000) at line 1: MySQL server has gone away Shell> mysql -u user my_database select * from information_schema.processlist where id = 84\G I have a file with one big INSERT statement, about 1.700.000 rows and I'm importing it like this:
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