mysql bulk insert best performance

The benchmarks have been run on a bare metal server running Centos 7 and MySQL 5.7, Xeon E3 @ 3.8 GHz, 32 GB RAM and NVMe SSD drives. If I use a bare metal server at Hetzner (a good and cheap host), I’ll get either AMD Ryzen 5 3600 Hexa-Core (12 threads) or i7-6700 (8 threads), 64 GB of RAM, and two 512GB NVME SSDs (for the sake of simplicity, we’ll consider them as one, since you will most likely use the two drives in mirror raid for data protection). BULK load; BULK load with tablock; BULK … Have a look at the documentation to see them all. Do you need that index? [STARTING BY ‘string’] First and the foremost, instead of hardcoded scripts, now we have t… When you need to bulk-insert many million records in a MySQL database, you soon realize that sending INSERT statements one by one is not a viable solution. If you’re looking for raw performance, this is indubitably your solution of choice. Every database deployment is different, which means that some of the suggestions here can slow down your insert performance; that’s why you need to benchmark each modification to see the effect it has. In all, about 184 million rows had to be processed. Be careful when increasing the number of inserts per query, as it may require you to: As a final note, it’s worth mentioning that according to Percona, you can achieve even better performance using concurrent connections, partitioning, and multiple buffer pools. In order to insert huge number of we are using Bulk Insert of MySQL. This was like day and night compared to the old, 0.4.12 version. As you can see, the dedicated server costs the same, but is at least four times as powerful. LOAD DATA INFILE is a highly optimized, MySQL-specific statement that directly inserts data into a table from a CSV / TSV file. If you are adding data to a nonempty table, you can tune the bulk_insert_buffer_size variable to make data insertion even faster. I calculated that for my needs I’d have to pay between 10,000-30,000 dollars per month just for hosting of 10TB of data which will also support the insert speed I need. Naturally, we will want to use the host as the primary key, which makes perfect sense. Using load from file (load data infile method) allows you to upload data from a formatted file and perform multiple rows insert in a single file. The benchmark source code can be found in this gist. If you’re following my blog posts, you read that I had to develop my own database because MySQL insert speed was deteriorating over the 50GB mark. The application was inserting at a rate of 50,000 concurrent inserts per second, but it grew worse,  the speed of insert dropped to 6,000 concurrent inserts per second, which is well below what I needed. To do this, include multiple lists of column values, each enclosed within parentheses and separated by commas. Since I used PHP to insert data into MySQL, I ran my application a number of times, as PHP support for multi-threading is not optimal. That's some heavy lifting for you database. On a personal note, I used ZFS, which should be highly reliable, I created Raid X, which is similar to raid 5, and I had a corrupt drive. If you are inserting many rows from the same client at the same time, use INSERT statements with multiple VALUES lists to insert several rows at a time. Let’s take an example of using the INSERT multiple rows statement. In my project I have to insert 1000 rows at any instance of time, and this process is very time consuming and will take lot of time insert row one bye. MySQL supports table partitions, which means the table is split into X mini tables (the DBA controls X). SELECT statement. But when your queries are wrapped inside a Transaction, the table does not get re-indexed until after this entire bulk is processed. The database can then resume the transaction from the log file and not lose any data. There are two ways to use LOAD DATA INFILE. an INSERT with thousands of rows in a single statement). Extended inserts on the other hand, do not require a temporary text file, and can give you around 65% of the LOAD DATA INFILE throughput, which is a very reasonable insert speed. Insert ignore will not insert the row in case the primary key already exists; this removes the need to do a select before insert. For $40, you get a VPS that has 8GB of RAM, 4 Virtual CPUs, and 160GB SSD. When importing data into InnoDB , turn off autocommit mode, because it performs a log flush to disk for every insert. In case there are multiple indexes, they will impact insert performance even more. To test this case, I have created two MySQL client sessions (session 1 and session 2). Make sure you put a value higher than the amount of memory; by accident once, probably a finger slipped, and I put nine times the amount of free memory. Case 2: Failed INSERT Statement. It’s not supported by MySQL Standard Edition. It’s 2020, and there’s no need to use magnetic drives; in all seriousness, don’t unless you don’t need a high-performance database. Inserting to a table that has an index will degrade performance because MySQL has to calculate the index on every insert. This will, however, slow down the insert further if you want to do a bulk insert. Understand that this value is dynamic, which means it will grow to the maximum as needed. If you decide to go with extended inserts, be sure to test your environment with a sample of your real-life data and a few different inserts-per-query configurations before deciding upon which value works best for you. Will all the methods improve your insert performance? [LOW_PRIORITY | CONCURRENT] [LOCAL] The EF Bulk Insert feature let you insert thousands of entities in your database efficiently.. [, col_name_or_user_var] …)] The default MySQL value: This value is required for full ACID compliance. Before we try to tweak our performance, we must know we improved the performance. If you don’t have such files, you’ll need to spend additional resources to create them, and will likely add a level of complexity to your application. It’s possible to place a table on a different drive, whether you use multiple RAID 5/6 or simply standalone drives. Ascii character is one byte, so a 255 characters string will take 255 bytes. if duplicate id , update username and updated_at. My task was to load data from a large comma-delimited file. As expected, LOAD DATA INFILE is the preferred solution when looking for raw performance on a single connection. InnoDB-buffer-pool was set to roughly 52Gigs. A blog we like a lot with many MySQL benchmarks is by Percona. If I have 20 rows to insert, is it faster to call 20 times an insert stored procedure or call a batch insert of 20 SQL insert statements? This means that, in all likelihood, the MySQL server does not start processing the file until it is fully transferred: your insert speed is therefore directly related to the bandwidth between the client and the server, which is important to take into account if they are not located on the same machine. LOAD DATA INFILE. Part of ACID compliance is being able to do a transaction, which means running a set of operations together that either all succeed or all fail. ] LOAD DATA INFILE '/path/to/products.csv' INTO TABLE products; INSERT INTO user (id, name) VALUES (1, 'Ben'); INSERT INTO user (id, name) VALUES (1, 'Ben'), (2, 'Bob'); max sequential inserts per second ~= 1000 / ping in milliseconds, Design Lessons From My First Crypto Trading Bot, Using .Net Core Worker Services in a Dotvvm Web Application, How we taught dozens of refugees to code, then helped them get developer jobs, Transport Layer Topics: TCP, Multiplexing & Sockets, How to Engineer Spotify Data with Terraform & AWS, 7 Keys to the Mystery of a Missing Cookie, How to implement Hyperledger Fabric External Chaincodes within a Kubernetes cluster, DataScript: A modern datastore for the browser, Client and server on the same machine, communicating through a UNIX socket, Client and server on separate machines, on a very low latency (< 0.1 ms) Gigabit network, 40,000 → 247,000 inserts / second on localhost, 12,000 → 201,000 inserts / second over the network. Ask Question Asked 1 year ago. In some cases, you don’t want ACID and can remove part of it for better performance. Insert and include/exclude properties; Insert only if the entity not already exists; Insert with returning identity value; More scenarios; Advantages. That’s why I tried to optimize for faster insert rate. The one big table is actually divided into many small ones. If you’re looking for raw performance, this is indubitably your solution of choice. The benefit of extended inserts is higher over the network, because sequential insert speed becomes a function of your latency: The higher the latency between the client and the server, the more you’ll benefit from using extended inserts. Before I push my test plan further, I'd like to get expert's opinion about the performance of the insert stored procedure versus a bulk insert. Disable Triggers. The MySQL documentation has some INSERT optimization tips that are worth reading to start with. I know there are several custom solutions besides MySQL, but I didn’t test any of them because I preferred to implement my own rather than use a 3rd party product with limited support. The INSERT statement in MySQL also supports the use of VALUES syntax to insert multiple rows as a bulk insert statement. You do need to ensure that this option is enabled on your server, though. This feature is provided by the library EF Extensions (Included with EF Classic).EF Extensions is used by over 2000 customers all over the world and supports all Entity Framework versions (EF4, EF5, EF6, EF Core, EF Classic). It’s interesting to note that it doesn’t matter whether you’re on localhost or over the network, grouping several inserts in a single query always yields better performance. The INSERT INTO ..SELECT statement can insert as many rows as you want.. MySQL INSERT multiple rows example. The solution is to use a hashed primary key. In a quick test I got 6,900 rows/sec using Devart mysql connection and destination vs. 1,700 rows/sec using mysql odbc connector and odbc destination. The data I inserted had many lookups. After we do an insert, it goes to a transaction log, and from there it’s committed and flushed to the disk, which means that we have our data written two times, once to the transaction log and once to the actual MySQL table. Needless to say, the cost is double the usual cost of VPS. [CHARACTER SET charset_name] Replace the row into will overwrite in case the primary key already exists; this removes the need to do a select before insert, you can treat this type of insert as insert and update, or you can treat it duplicate key update. One byte, so it was nothing serious better concurrency control and means that each can take a list objects. 134217728 bytes ( 128MB ) according to the maximum allowed packet size in bytes created two MySQL client (. 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