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MySQL has since version 5.7 had support for progress information for some queries. As promised in my previous post, I will here discuss how you can use that to get progress information for ALTER TABLE on InnoDB tables.

Background and Setup

Progress information is implemented through the Performance Schema using the stage events. In version 8.0.12 there are currently seven stages that can provide this information for  ALTER TABLE statements on InnoDB tables. In MySQL 8, it is easy to list the stages capable of reporting progress information by using the …

Recently one of our customers wanted us to benchmark InnoDB, TokuDB and RocksDB on Intel(R) Xeon(R) Gold 6140 CPU (with 72 CPUs),  nvme SSD (7 TB) and  530 GB RAM for performance. We have used Ubuntu xenial 16.04.4, Percona Server 5.7 (included storage engines- InnoDB/XtraDB, TokuDB and RocksDB) and  Sysbench 1.0.15 with custom Lua scripts for this exercise, This benchmarking exercise included bulk INSERTS, WRITES, READS and READS-WRITES. We have tried our best to capture maximum information about the hardware infrastructure and copied / shared scripts we have used for benchmarking. This is not a paid / sponsored benchmarking effort by any of the software or hardware vendors, We will remain forever an vendor neutral and independent web-scale database infrastructure operations company with core expertise in performance, scalability, high availability and database reliability engineering. This benchmarking is …

The main focus of a previous blog post was the performance of MyRocks when using fast SSD devices. However, I figured that MyRocks would be beneficial for use in cloud workloads, where storage is either slow or expensive.

In that earlier post, we demonstrated the benefits of MyRocks, especially for heavy IO workloads. Meanwhile, Mark wrote in his blog that the CPU overhead in MyRocks might be significant for CPU-bound workloads, but this should not be the issue for IO-bound workloads.

In the cloud the cost of resources is a major consideration. Let’s review the annual cost for the processing and storage …

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There are many nice changes included in the MySQL 8.0.12 release that were published a couple of days ago. One of the most exciting is the ability to make instant schema changes to tables. This blog will look into why I think that that is a stand-out change.

I will not go into details with the implementation other than noting that the new data dictionary in MySQL 8.0 has allowed for a nice implementation of the patch that was contributed by the Tencent Games DBA Team. If you are interested in learning more about the implementation, I will recommend you to read the blog by Bin Su ( …

Introduction –

              MySQL 8.0.10 GPL came out with more changes and advanced features. We have changes on InnoDB physical file layout ( MySQL data directory ) too. This blog will provide the information about the MySQL 8 InnoDB physical files.

MySQL system tables are completely InnoDB now ?

              Yes, Previously, we don’t have too many InnoDB tables on MySQL system tables. We have the innodb_index_stats, innodb_table_stats, slave_master_info, slave_relay_log_info and slave_worker_info in MySQL 5.7 as InnoDB tables. But, now all the MySQL System  tables were converted to InnoDB from MySQL 8.0 . It helps in the transactional DDL’s .

Below are the list of InnoDB physical files on MySQL 8.0 .

• ibdata1
• .ibd …

The choice of good InnoDB primary keys is a critical performance tuning decision. This post will guide you through the steps of choosing the best primary key depending on your workload.

As a principal architect at Percona, one of my main duties is to tune customer databases. There are many aspects related to performance tuning which make the job complex and very interesting. In this post, I want to discuss one of the most important one: the choice of good InnoDB primary keys. You would be surprised how many times I had to explain the importance of primary keys and how many debates I had around the topic as often people have preconceived ideas that translate into doing things a certain way without further thinking.

The choice of a good primary key for an InnoDB table is extremely important and can have huge performance impacts. When you start working with a customer using an overloaded x1.16xlarge RDS instance, with close …

Welcome to the third part of this series. I’m glad you’re still reading, as hopefully this means you find this subject interesting at least. Previously we presented the first two components of MySQL InnoDB Cluster: Group Replication and MySQL Router and now we will discuss the last component, MySQL Shell.

MySQL Shell

This is the last component in the cluster and I love it. Oracle have created this tool to centralize cluster management, providing a friendly, command-line based user interface.

The tool can be defined as an advanced MySQL shell, which is much more powerful than the well known MySQL client. With the capacity to work …

MySQL InnoDB Cluster is an Oracle High Availability solution that can be easily installed over MySQL to provide high availability with multi-master capabilities and automatic failover. In the previous post we presented the first component of InnoDB Cluster, group replication. Now we will go through the second component, MySQL Router.  We will address MySQL Shell in a final instalment of this three-part series. By then, you should have a good overview of the features offeed by MySQL InnoDB Cluster.

MySQL Router

This component is responsible for distributing the traffic between members of the cluster. It is a proxy-like solution to hide cluster topology from applications, so applications don’t …

MySQL 8.0 has come with a list of new features for DBA’s ,we will discuss the new feature in MySQL 8.0 which supports Descending index.Prior to MySQL 8.0 (i.e MySQL 5.6 and 5.7) creating desc index syntax was supported but desc keyword was ignored, Now in MySQL 8.0 release descending index is extended are supported.

What is index?

• Indexes play an important role in performance optimization  and they are used frequently to speed up access to particular data and reduce disk I/O operations .
• To understand index easily you can imagine a book,every book has an index with content referring to a page number.If you want to search something in a book you first refer to the index and get the page number and then get the information in the page,like this the indexes in MySQL will tell you the row with matching data.

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The common wisdom with database performance management is that a “cold” database server has poor performance. Then, as it “warms up”, performance improves until finally you reach a completely warmed up state with peak database performance. In other words, that to get peak performance from MySQL you need to wait for database warm up.

This thinking comes from the point of view of database cache warmup. Indeed from the cache standpoint, you start with an empty cache and over time the cache is filled with data. Moreover the longer the database runs, the more statistics about data access patterns it has, and the better it can manage database cache contents.

Over recent years with the rise of SSDs, cache warmup has become less of an issue. High Performance NVMe Storage can do more than 1GB/sec read, meaning you can warm up a 100GB database cache in less than 2 minutes. Also, SSD IO latency tends to be quite good so you’re not …