![]() ![]() This defines the size of the chunk for each LOAD DATA call. You can define the number of parallel threads to process the data from the input file to the target server. Every thresholds should be provided with the optimal values based on the available system resources ( CPU / RAM / Disk IOPS ) else it can degrade the performance. Options needs to be taken care :īelow are the important options which involved in the performance of effective data loading. This is 6x faster than the single threaded method and improved the speed tremendously. Yes, It took only 6 minutes and 30 seconds . Total rows affected in parallel.parallel_load: Records: 14244516 Deleted: 0 Skipped: 0 Warnings: 0 parallel.parallel_load: Records: 1780564 Deleted: 0 Skipped: 0 Warnings: 0įile '/usr/local/mysql/mysql-files/load_data.csv' (8.06 GB) was imported in 6 min 30.0411 sec at 18.81 MB/s Importing from file '/usr/local/mysql/mysql-files/load_data.csv' to table `parallel`.`parallel_load` in MySQL Server at /tmp%2Fmysql.sock using 8 threads MySQL localhost osm JS > util.importTable("/usr/local/mysql/mysql-files/load_data.csv", ) No, I am going to load same data on a different table, with new Muti threaded in MySQL shell utility. Records: 14244516 Deleted: 0 Skipped: 0 Warnings: 0 Loading via load data infile: MySQL localhost:33060+ ssl osm SQL > load data infile '/usr/local/mysql/mysql-files/load_data.csv' into table single.single_load fields terminated by ',' optionally enclosed by '"' lines terminated by '\n' (user_id,visible,name,size,latitude,longitude,timestamp,public,description,inserted) Let’s start the test with the existing method ( single threaded LOAD DATA INFILE ). sakthisrii:mysql-files sakthivel$ ls -lrth I have a CSV file to be loaded, the size of the file is around 8 GB. The importTable utility will update the chunks to destination MySQL server with parallel threadsīelow is the server configuration, which I was used to test the data loading operation.The importTable utility will divide the large file into chunks.The importTable utility will analyse the input data file.This section describes the working flow of the parallel data loading in MySQL 8.0.17. Remember you can use the parallel data loading utility only via MySQL Shell. Through this blog I am going to compare the both methods. I had the curiosity to test this feature and wanted to know, how it can improve the data loading comparing to the existing single threaded method. MySQL introduced the parallel load data operations in its latest minor release MySQL 8.0.17. At Mydbops we focus on improving the efficiency of process as we value performance more. But with modern hardwares system resource is not a bottle neck. Loading any large file into MySQL server using the LOAD DATA INFILE is a time consuming process, because it is single threaded and it is a single transaction too. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |