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Displaying posts with tag: innodb (reset)
MySQL InnoDB Redo Log Archiving

When performing physical backup on system that are heavily used, it can happen that the backup speed cannot keep up with the redo log generation. This can happen when the backup storage is slower than the redo log storage media and this can lead in inconsistency in the generated backup.

MySQL Enterprise Backup (aka MEB) and probably Percona Xtrabackup, benefit from the possibility to sequentially write redo log records to an archive file in addition to the redo log files.

This feature was introduced in MySQL 8.0.17.

How to enable it ?

To enable this feature, two settings are necessary:

  • set globally a directory where those archiving logs can be stored
  • start the archiving process in a session by calling a dedicated function

The global variable is

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MySQL Performance : Benchmark kit (BMK-kit)

The following is a short HOWTO about deployment and use of Benchmark-kit (BMK-kit). The main idea of this kit is to simplify your life in running various MySQL benchmark workloads with less blood and minimal potential errors.

Generally as simple as the following :

$ bash /BMK/sb_exec/sb11-Prepare_50M_8tab-InnoDB.sh 32   # prepare data

$ for users in 1 2 4 8 16 32 64 128 256 512 1024 2048
do   
  # run OLTP_RW for 5min each load level..
  bash /BMK/sb_exec/sb11-OLTP_RW_50M_8tab-uniform-ps-trx.sh $users 300
  sleep 15
done

the latest public online version of the following HOWTO is always available from here : http://dimitrik.free.fr/blog/posts/mysql-perf-bmk-kit.html

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InnoDB Page Flushing Diagram

Who dares diagram a system and process as complex as InnoDB page flushing? I do.

InnoDB Page Flushing Diagram

Who dares diagram a system and process as complex as InnoDB page flushing? I do.

InnoDB Page Flushing Diagram

Who dares diagram a system and process as complex as InnoDB page flushing? I do.

MySQL Books: Efficient MySQL Performance

Today, the book I would like to recommend is Efficient MySQL Performance – Best Practices and Techniques, Daniel Nichter, O’Reilly, 2021.

I participated (just a bit) in the writing of this book as technical reviewer with Vadim and Fipar. I really enjoyed that role of carefully reading the early drafts of the chapters Daniel was writing.

Although Daniel says the book is not for the experts, I think even experts will enjoy it because several key InnoDB concepts are also covered. You can see that I refer to the book often in my A graph a day, keeps the doctor away ! series on monitoring and trending.

If you’re looking for information on transaction isolation and undo logs, fuzzy checkpointing, etc… you’ll find …

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Diskspace Problem When Modifying a Large InnoDB Table in MySQL… and how to solve it !

Recently, somebody requested some help as he was trying to modify the structure of a large table. The requested modification was related in changing a fixed length string to a variable length string column.

If you don’t know it yet, MySQL supports multiple algorithms when altering a table (DDL):

  • COPY: operations are performed on a copy
  • INPLACE: operations may rebuild the table inplace (no copy)
  • INSTANT: operations only change the metadata in the data dictionnary

The operation that interests us today needs to copy the full table. And this was the problem for the user as the MySQL Datadir could not store twice the amount of that large table.

In this blog post I will explain a method that can be used to solve this problem. There are also others method like a logical dump …

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How to Estimate time for Rollback in a cancelled transaction MySQL ?

Rollback is an operation, which changes the current state of the transaction to the previous state. Undo logs are generally required if we want to roll back any of the uncommitted transactions and it plays a major role in Isolation.

For any changes made during a transaction, it must be stored priorly, because they are required if we choose to roll back the transaction.

Entries are made in undo logs when data modifications are done. If a transaction modifies data with SQL commands, It will create discrete undo logs for each operation. Once a transaction is committed MySQL is free to purge the undo logs created in that transaction. 

To know more about undo logs, you can check our previous blogs on overview to undo logs.

Usually, the Rollback process will take more time than the original operation. Because …

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MySQL “No space left on device from storage engine”

We have planned for archiving the data to improve the DB performance and to reclaim the space. We were evaluating Compression in InnoDB and TokuDB. To find out the best compression method. We started benchmarking the compression ratio between InnoDB and TokuDB.

Everything goes well for some time, but after a few hours got an error message that can’t able to insert the data into the TokuDB table due to storage being full. It is so strange and the host has enough free space.


Table structure:-

mysql> show create table mydbops.tokudb\G
*************************** 1. row ***************************
       Table: tokudb
Create Table: CREATE TABLE `tokudb` (
  `ID` int DEFAULT NULL,
  `Name` longtext,
  `Image` blob
) ENGINE=TokuDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci
1 row in set (2.18 sec)

mysql> show create table mydbops.innodb\G
*************************** 1. row …
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Handling MySQL case sensitive column in pt-archiver

To copy the data of the particular column of the table to another table/server, We have an option to export the data as CSV and import the data back to a different table. But when the table size is large and we need to copy the data only for the required data to the target table will cause the load in the server since the table scanning is huge.

To overcome this, we have the pt-archiver copy the data from the source table to the destination as a whole or only for required columns. And also we can do this in a controlled manner as well. So there will be no performance impact even on the production time.

Source table structure :

mysql> show create table source\G
*************************** 1. row ***************************
       Table: source
Create Table: CREATE TABLE `source` (
  `id` int unsigned NOT NULL …
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