Monday, 15 October 2018

[Solved] MySQL User Operation - ERROR 1396 (HY000): Operation CREATE / DROP USER failed for 'user'@'host'

Error Message:
ERROR 1396 (HY000): Operation CREATE USER failed for 'admin'@'%'

Generic Error Message:
Operation %s failed for %s

Error Scenario:
Operation CREATE USER failed
Operation DROP USER failed

The reason for this error is, you are trying to do some user operation but the user does not exist on the MySQL system. Also, for drop user, the user details are stored somewhere in the system, even though, you have already dropped the user from MySQL server.

Revoke all access granted to the user, drop the user, and run FLUSH PRIVILEGE command to remove the caches. Now create/drop/alter the user, it will work.

REVOKE ALL ON *.* FROM 'user'@'host';
DROP USER 'user'@'host';

Grant Tables:
The following tables will help you in identifying the user related informations (as of MySQL 5.7):

mysql.user: User accounts, global privileges, and other non-privilege columns
mysql.db: Database-level privileges
mysql.tables_priv: Table-level privileges
mysql.columns_priv: Column-level privileges
mysql.procs_priv: Stored procedure and function privileges
mysql.proxies_priv: Proxy-user privilege

Related MySQL Bug Reports:

I hope this post will help you, if you faced this error on some other scenarios or if you know, some other workaround / solution for this error, please add on the comment section. It will be helpful for other readers.

Tuesday, 9 October 2018

MySQL Replication Notes

The MySQL Replication was my first project as a Database Administrator (DBA) and I have been working with Replication technologies for last few years and I am indebted to contribute my little part for development of this technology. MySQL supports different replication topologies, having better understanding of basic concepts will help you in building and managing various and complex topologies.
I am writing here, some of the key points to taken care when you are building MySQL replication. I consider this post as a starting point for building a high performance and consistent MySQL servers.  Let me start with below key points
MySQL Server Version
MySQL Server Configuration
Primary Key
Storage Engine
I will update this post with relevant points, whenever I get time. I am trying to provide generic concepts and it will be applicable to all version of MySQL, however, some of the concepts are new and applicable to latest versions (>5.0).

Resourcing of the slave must be on par (or better than) for any Master to keep up with the Master. The slave resource includes the following things:

Disk IO
Computation (vCPU)
InnoDB Buffer Pool (RAM)
MySQL 5.7 supports Multi Threaded Replication, but are limited to one thread per database. In case of heavy writes (multiple threads) on Master databases, there is a chance that, Slave will be lag behind the Master, since only one thread is applying BINLOG to the Slave per database and its writes are all serialised.

MySQL Version:

It is highly recommended to have Master and Slave servers should run on same version. Different version of MySQL on slave can affect the SQL execution timings.
For example, MySQL 8.0 is comparatively much faster than 5.5. Also, it is worth to consider the features addition, deletion and modifications.

MySQL Server Configuration:

The MySQL server configuration should be identical, we may have identical hardware resources and same MySQL version, but if MySQL is not configured to utilize the available resources in similar method, there will be changes in execution plan.
For example, InnoDB buffer pool size should be configured on MySQL server to utilize the memory. Even if we have a identical hardwares, buffer pool must be configured at the MySQL instance.

Primary Key:

The primary key plays an important role in Row-Based-Replication (when binlog_format is either ROW or MIXED). Most often, slave lagging behind master while applying RBR event is due to the lack of primary key on the table involved.
When no primary key is defined, for each affected row on master, the entire row image has to be compared on a row-by-row basis against the matching table’s data on the slave.
This can be explained by how a transaction is performed on master and slave based on the availability of primary key:

With Primary Key
Without Primary Key
On Master
Uniquely identifies the row
Make use of any available key or performs a full table scan
On Slave
Uniquely identifies each rows & changes can be quickly applied to appropriate row images on the slave.
Entire row image is compared on a row-by-row basis against the matching table’s data on slave.
Row-by-row scan can be very expensive and time consuming and cause slave to lag behind master.
When there is no primary key defined on a table, InnoDB internally generates a hidden clustered index named GEN_CLUST_INDEX containing row ID values. MySQL replication cannot use this hidden primary key for sort operations, because this hidden row IDs are unique to each MySQL instance and are not consistent between a master and a slave.
The best solution is to ensure all tables have a primary key. When there is no unique not null key available on table, at least create an auto-incrementing integer column (surrogate key) as primary key.
If immediately, it is not possible to create a primary key on all such tables, there is a workaround to overcome this for short period of time by changing slave rows search algorithm. This is not the scope of this post, I will write future post on this topic.

Mixing of Storage Engines:

MySQL Replication supports different storage engines on master and slave servers. But, there are few important configuration to be taken care when mixing of storage engines.
It should be noted that, InnoDB is a transactional storage engine and MyISAM is a non-transactional.
On Rollback: If binlog_format is STATEMENT and when a transaction updates, InnoDB and MyISAM tables and then performs ROLLBACK, only InnoDB tables data is removed and when this statement is written to binlog it will be send to slave, on slave where both the tables are MyISAM will not perform the ROLLBACK, since it does not supports transaction. It will leave the table inconsistent with master.
Auto-Increment column: This should be noted that, the way auto-increment is implemented on MyISAM and InnoDB different, MyISAM will lock a entire table to generate auto-increment and the auto-increment is part of a composite key, insert operation on MyISAM table marked as unsafe. Refer this page for better understanding
Referential Integrity Constraints: InnoDB supports foreign keys and MyISAM does not. Cascading updates and deletes operations on InnoDB tables on master will replicate to slave, only if the tables are InnoDB on both master and slave. This is true for both STATEMENT and ROW based replications. Refer this page for explanation:
Locking: InnoDB performs row-level locking and MyISAM performs table-level locking and all transaction on the slave are executed in a serialized manner, this will negatively impact the slave performance and end up in slave lagging behind the master.
Logging: MyISAM is a non-transactional storage engine and transactions are logged into binary log by client thread, immediately after execution, but before the locks are released.
If the query is part of the transaction and if there is a InnoDB table involved on same transaction and it is executed before the MyISAM query, then it will not written to binlog immediately after execution, it will wait for either commit or rollback. This is done to ensure, order of execution is same in slave as in the master.
Transaction on InnoDB tables will be written to the binary log, only when the transaction is committed.
It is highly advisable to use transactional storage engine on MySQL Replication. Mixing of storage engine may leads to inconsistency and performance issues between master and slave server. Though MySQL does not produce any warnings, it should be noted and taken care from our end.
Also, the introduction of MySQL 8.0 (from 5.6) with default storage engine as InnoDB and deprecating older ISAM feature indicates the future of MySQL database, it is going to be completely transactional and it is recommended to have InnoDB storage engine.
There is a discussion online, about the removal of other storage engines and development on InnoDB engine by Oracle, though it is not scope of this article, as a Database Administrator, I prefer having different storage engine for different use cases and it has been unique feature of MySQL.

I hope this post is useful, please share your thoughts / feedbacks on comment section.

Tuesday, 18 September 2018

[Solved] How to install MySQL Server on CentOS 7?

Recently, when I am working on setting up MySQL Enterprise Server, I found, there is too much information available over internet and it was very difficult for a newbie to get what is needed for direct implementation. So, I decided to write a quick reference guide for setting up the server, covering end to end, starting from planning to production to maintenance. This is a first post in that direction, in this post, we will discuss about installing MySQL Enterprise Server on CentOS 7 machine. Note that, the steps are same for both the Enterprise and Community editions, only binary files are different, and downloaded from different repositories.

If you are looking for installing MySQL on Windows operating system, please visit this page I am assuming, hardware and the Operating System is installed and configured as per the requirement. Let us begin with the installation.

Removing MariaDB:

The CentOS comes with MariaDB as a default database, if you try to install, MySQL on top of it, you will encounter an error message stating the MySQL library files conflict with MariaDB library files. Remove the MariaDB to avoid errors and to have a clean installation.  Use below statements to remove MariaDB completely:

sudo yum remove MariaDB-server
sudo yum remove MariaDB-client (This can be done in single step)
sudo rm –rf /var/lib/mysql
sudo rm /etc/my.cnf

(Run with sudo, if you are not logged in as Super Admin).

Downloading RPM files:

MySQL installation files (On CentOS 7 – rpm packages) can be downloaded from MySQL yum repository.

For MySQL Community Edition – there is clear and step-by-step guide available at the MySQL website - The only step missing is downloading MySQL yum repository to your local machine. (This might looks very simple step, but most of the newbies, it is very helpful). 

For MySQL Enterprise Edition – the binary files can be downloaded from Oracle Software Delivery Cloud ( for latest version or previous versions visit My Oracle Support (

As mentioned earlier, there is a clear and step-by-step guide available at the MySQL website for Community Edition, I will be continue with installing Enterprise Edition, steps are almost same.

Choosing the RPM file:

For MySQL Community Edition, all the RPM files will be included in the downloaded YUM repository, but for Enterprise Editions, these files will be downloaded separately. (For system administration purpose, all these files can be created under a MySQL repository).

For newbies, it may be confusing to understand, the different RPM files and its contents, I am concentrating on only files required for stand-alone MySQL instances. If there is requirement for embedded MySQL or if you working on developing plugins for MySQL, can install other files. It is completely depends on your requirement. The following tables, describe the required files and where to install.

RPM File
MySQL Server and related utilities to run and administer a MySQL server.
On Server
Standard MySQL clients and administration tools.
On Server & On Client
Common files needed by MySQL client library, MySQL database server, and MySQL embedded server.
On Server
Shared libraries for MySQL Client applications
On Server

Installing MySQL:

Install the MySQL binary files in the following order, this is to avoid dependency errors, the following statements will install MySQL on local machine:

sudo yum localinstall mysql-commercial-libs-5.7.23-1.1.el7.x86_64.rpm
sudo yum localinstall mysql-commercial-client-5.7.23-1.1.el7.x86_64.rpm
sudo yum localinstall mysql-commercial-common-5.7.23-1.1.el7.x86_64.rpm
sudo yum localinstall mysql-commercial-server-5.7.23-1.1.el7.x86_64.rpm

Starting the MySQL Service:

On CentOS 7, the mysql service can be started by following:

sudo systemctl start mysqld.service
sudo systemctl status mysqld.service

Login to MySQL Server for first time:

Once the service is started, the superuser account ‘root’@’localhost’ created and temporary password is stored at the error log file (default /var/log/mysqld.log). The password can be retrieved by using the following command:

sudo grep 'temporary password' /var/log/mysqld.log

As soon as logged in to MySQL with the temporary password, need to reset the root password, until that, you cannot run any queries on MySQL server. You can reset the root account password by running below command.

mysql –u root –h localhost -p
alter user 'root'@'localhost' identified by 'NewPassword';

You can verify the MySQL status and edition by running the following commands, sample output provided below for MySQL 8.0 Community Edition (GPL License) running on Windows machine.

MySQL License Status

MySQL conflicts with MariaDB: in case if there is conflict with MariaDB, you will see the error message as below:

file /usr/share/mysql/xxx from install of MySQL-server-xxx conflicts with file from package mariadb-libs-xxx

To resolve this error remove mariadb server and its related files from CentOS server. Refer the section - Removing mariadb.

Can’t connect to mysql server: MySQL server is installed but unable to connect from client.

Check this page for possible causes and solutions:

Please let me know, if you are facing any other errors on comment section. I hope this post is helpful.

Friday, 15 June 2018

[Solved] Unable to start SQL Server Service after applying service pack Error: Script level upgrade for database 'master' failed because upgrade step 'ISServer_upgrade.sql' encountered error 5069, state 1, severity 16

SQL Server service not starting after service pack / cumulative update installation.
Error Message:
Script level upgrade for database 'master' failed because upgrade step 'ISServer_upgrade.sql' encountered error 5069, state 1, severity 16. This is a serious error condition which might interfere with regular operation and the database will be taken offline. If the error happened during upgrade of the 'master' database, it will prevent the entire SQL Server instance from starting. Examine the previous error log entries for errors, take the appropriate corrective actions and restart the database so that the script upgrade steps run to completion.
Root Cause:
From primary analysis, the code ISServer_upgrade.sql is part of SQL Server DLL and it is no where located on the operating system.
Upgrading this script failing for some reason, which can be identified by starting sql server with trace 3601 and check the error log to identify the exact code running on SQL Server while updating the server.
NET START MSSQLServer /T902 /T3601
However, this DLL is part of the SQL Server, this will be fixed by updating the next service pack or cumulative update.
Troubleshooting Steps:
Start the SQL Server Service with trace 902.
           NET START MSSQLServer /T902 

Download the latest cumulative update on top of service pack.

For example, after installing Service Pack 2 on SQL Server 2016 RTM, if the SQL Server Service not started, install the latest cumulative update CU2 on top of Service Pack 2 while running SQL on T902.
After successfully updating SQL Server with CU2 stop the 902 trace and restart the SQL Server Service from SQL Server Configuration Manager.
SQL Server build version:

Saturday, 19 May 2018

How to set up MySQL InnoDB Cluster? Part One

This post is about setting up MySQL InnoDB Cluster with 5 nodes on a sandbox deployment.  Here, we focus on implementation part, the core concepts will be explained in separate posts.

  • MySQL Engine
  • MySQL Shell
  • MySQL Router
Deploying MySQL InnoDB Cluster involves the following steps:
  • Deploying MySQL Engine (Sandbox Instance)
  • Creating an InnoDB Cluster
  • Adding nodes to InnoDB Cluster
  • Configuring MySQL Router for High Availability.
  • Testing High Availability.

Tuesday, 26 December 2017

How to find database and table size in MySQL?

As a Database Administrator(DBA), your job want you to know the most atomic details of databases in your server. It happens for me many times, my boss/ delivery manager asking me, what is the size of a specific database or specific table, in this kind of situation, producing the right data will help make right decision. From my experience, I understood, it is always better to say, I will give you data in few minutes, instead of producing the incorrect data, which I had been doing for a long time.

This post is about identifying the size of a database(s) or table(s).  The simple script, I have been using it for quite a long, if not wrong when I started my career as DBA. You could have probably seen this/similar script on other forums as well and there are many other methods too. I am reproducing this handy script here to get work done.

Size of a specific table:

select table_name as "Table Name",
sum(data_length+index_length)/1024/1024 as "Table Size in MB"
from information_schema.tables
where table_schema = 'Database Name' and
table_name = 'Table Name';
Size of a specific database:

select table_schema as "Database Name",
sum(data_length+index_length)/1024/1024 as "Database Size in MB"
from information_schema.tables
where table_schema = 'Database Name';

Size of all tables in a database with descending order:

select table_name as "Table Name",
sum(data_length+index_length)/1024/1024 as "Table Size in MB"
from information_schema.tables
where table_schema = 'Database Name'
group by table_name
order by 2 desc;

Size of all databases in descending order:

select table_schema as "Database Name",
sum(data_length+index_length)/1024/1024 as "Database Size in MB"
from information_schema.tables
group by table_schema
order by 2 desc;

This script is enough for us to get things done. I am providing here the table description of the information_schema.tables for more understanding. The table description can be displayed by running DESCRIBE command. 

mysql> desc information_schema.tables;
| Field           | Type                | Null | Key | Default | Extra |
| TABLE_CATALOG   | varchar(512)        | NO   |     |         |       |
| TABLE_SCHEMA    | varchar(64)         | NO   |     |         |       |
| TABLE_NAME      | varchar(64)         | NO   |     |         |       |
| TABLE_TYPE      | varchar(64)         | NO   |     |         |       |
| ENGINE          | varchar(64)         | YES  |     | NULL    |       |
| VERSION         | bigint(21) unsigned | YES  |     | NULL    |       |
| ROW_FORMAT      | varchar(10)         | YES  |     | NULL    |       |
| TABLE_ROWS      | bigint(21) unsigned | YES  |     | NULL    |       |
| AVG_ROW_LENGTH  | bigint(21) unsigned | YES  |     | NULL    |       |
| DATA_LENGTH     | bigint(21) unsigned | YES  |     | NULL    |       |
| MAX_DATA_LENGTH | bigint(21) unsigned | YES  |     | NULL    |       |
| INDEX_LENGTH    | bigint(21) unsigned | YES  |     | NULL    |       |
| DATA_FREE       | bigint(21) unsigned | YES  |     | NULL    |       |
| AUTO_INCREMENT  | bigint(21) unsigned | YES  |     | NULL    |       |
| CREATE_TIME     | datetime            | YES  |     | NULL    |       |
| UPDATE_TIME     | datetime            | YES  |     | NULL    |       |
| CHECK_TIME      | datetime            | YES  |     | NULL    |       |
| TABLE_COLLATION | varchar(32)         | YES  |     | NULL    |       |
| CHECKSUM        | bigint(21) unsigned | YES  |     | NULL    |       |
| CREATE_OPTIONS  | varchar(255)        | YES  |     | NULL    |       |
| TABLE_COMMENT   | varchar(2048)       | NO   |     |         |       |
21 rows in set (0.00 sec)

I hope this post will help you to complete your task quickly. Please write your comments on this post and let me know, if there are other simple methods to achieve this task. Thanks for your time.

Friday, 1 December 2017

Deleting huge number of records in MySQL

This is a short post about DELETE data from huge table in MySQL. Most of us experienced, deleting huge record from MySQL tables taking long time, sometimes hours to complete deleting millions of records. Also, on production servers it locks the other table operations as well. Recently, I deleted around 70 million record from a production database in less than an hour. There are multiple workarounds to do this, however I am writing about the two methods which are frequently used by me for this operation. 
  • Using intermediate table.
  • Delete data in small chunks.
Before we proceed with using any of these methods, make sure the table has required indexes on where clause and you have a copy of the table as backup.

Using intermediate table:

In this method, create a new table with similar data structure and copy only required data. Rename the original table as archive or backup table and Rename the new table as original table.


Table `tabA` has 10 million record and you need only 1 million records of last 1 month. So the model query will be as follows:

CREATE TABLE `tabA_copy` as select * from `tabA` where predicate_col > curdate() - interval 30 day;
Now the table tabA_copy will have only the required data.

Rename table tabA to tabA_archive;
Rename table tabA_copy to tabA;
This method is useful when you wanted to copy only small percentage of the huge table data. Since, moving small portion of data to new table is cheaper when compared to delete huge data.

Delete data in smaller chunks:

In this method, data will be deleted as smaller chunks. Even in case of rollback also, it is cheaper to rollback smaller data sets. I have been using the following procedure to implement this method. Actually, it is a dynamic procedure with PREPARED statement to satisfy all the requirements. For simplicity, I am writing the core part of it. 

drop procedure if exists huge_delete;
delimiter //
create procedure huge_delete()
 declare rows int;
 declare rows_deleted int;
 set rows = 1;
 set rows_deleted = 10000;
 while rows > 0
    delete from db.tabA where predicate_col < curdate() - interval 90 day order by `id` limit 10000;
    set rows = row_count();
    set rows_deleted = rows_deleted + row_count();
    select rows_deleted as "Rows Deleted";
 end while;
end //
delimiter ;

This method is suited when you wanted delete huge set of data (in millions) from the table. Make sure, you have index on the where clause column.


I am using innodb_flush_log_trx_commit = 2 to reduce the total response time. There are certain points to be considered before setting the innodb_flush_log_at_trx_commit as 2. Take a look at this article before you proceed with this value.

This setting runs with autocommit = 1 value which is default. In case if you run with transactions, make sure you commit the transaction at every iteration.


If you are running on Replication master server make sure, slave is in synchronization with master. In my recent implementation, the slave is very long time behind the master. I fixed it by skipping some transactions and later used compare utility to make it sync.

I recommend you to test this steps and confirm that, it is working as you expected before using it on production server. I hope this post will help you to get the things done!.