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How to encrypt and decrypt Table data in postgres

For encrypting and decrypting , we must use the bytea data type on the column which we implement. Bcoz bytea will use the pgcrypto method by default. However, you will need to create the pgcrypto extension to enable these functions as they are not pre-defined in PostgreSQL/PPAS. Example CREATE EXTENSION pgcrypto; CREATE TABLE userinfo (username varchar(20), password bytea); >>    Inserting the data in an encrypted format INSERT INTO userinfo VALUES(' suman ',encrypt('111222','password','aes')); select * from userinfo ; >>    Retrieving the data as decrypted format SELECT decrypt(password,decode('password','escape'::text),'aes'::text) FROM userinfo; Thanks for reading Plz dont forget to like Facebook Page..

History of MySQL from AB Corp to Cloud Database

MySQL was created by a Swedish company, MySQL AB, founded by David Axmark, Allan Larsson and Michael "Monty" Widenius. Original development of MySQL by Widenius and Axmark began in 1994. The first version of MySQL appeared on 23 May 1995. Its name is a combination of "My", the name of co-founder Michael Widenius's daughter,and "SQL", the abbreviation for Structured Query Language. ·          23 May 1995 - First internal release ·          Year 1996 - Version 3 o     Simple CRUD operations o     January 1997 Windows version was released on 8 January 1998 for Windows 95 and NT o     production release 1998, from ·          Year 2002 - Version 4 o     MyISAM o     unions o     Tracking o     B-trees o     subqueries o     prepared statements ·          Year 2005 - Version 5.0 o     cursors, stored procedures, triggers, views, o     Federated Storage Engine o     Event scheduler,  partitioning , p

Ignore a table from backup in mysql

Sometimes it happens that you need to ignore a table from backup due to any reason like 1. Table size is big, we keep log in that data. 2. Table that don't need to copy in backup. 3. Database copying from prod to test and some tables don't need in backup file. Generally when we create backup in single dump file it consolidate all db schema and data and if we need to exclude any table of sets of tables, then we need to use "--ignore-table" clause in mysqldump command. Syntax is as below. mysqldump -h <host> -u <username> -p <schema> --no-create-info --ignore-table=schema.table1  > db-data.sql Thanks for reading Plz dont forget to like Facebook Page..

How to grant all privileges in mysql8

Hello Friends, How are you, hope you are doing good. Cold have been started in the country, specially northern India and I also started mysql 8.0 on AWS RDS instance. Yesterday I was trying to give full permission to new created user from all the IP in mysql 8, It started giving me error 1406 . I was using below query to give permission, as the same we were using earlier in all versions. grant all privileges on *.* to 'youngdbauser'@'%' with grant option; Above query gives error 1406 in mysql 8.0. After lots of trying and dig inside error and mysql portal. Then I created user with full permission in create statement only. This is the new statement with create user which I seen in mysql document portal. create user ''youngdbauser''@'%' identified by 'mypass'; grant all privileges on *.* to 'youngdbauser'@'%' with grant option; It resolved my issue. Summary : Now you can must specify the user's local during

Waiting is over MySQL 8.0 is Available on AWS RDS

Hello friends, Many MySQL developers and administrators are waiting since long for mysql 8.0 on AWS RDS.  Now Amazon RDS for MySQL started supports MySQL Community Edition major version 8.0 in all AWS Regions. Please upgrade your instance to test new product performance. MySQL 8.0 is the latest major version release and offers new query functionality and enhancements for better performance, reliability, security, manageability, and international and mobile support. Here is MySQL 8.0 Version Summary: MySQL Document Store. JSON enhancements. New Window functions. New Common Table Expression & Recursive CTE. Better with documents and JSON. New Database Roles. Index Hiding, a.k.a “Invisible” Indexes Configuration Persistence. Unicode UTF-8 Encoding. InnoDB NO WAIT & SKIP LOCKED. Thanks for reading Plz dont forget to like Facebook Page.. YoungDBA on Facebook

What is Data virtualization

Transformation in technologies creating lots of changes in every related area. Artificial Intelligence, Machine Learning and Data-Science created a new kind of concept   in data platform, that is " Data Virtualization " .   By name it look like it might be related to server or network, but it is concept and logical method of data management. Data virtualization is the method of manipulating data from various sources to develop a common, logical and virtual view of information so that it can be accessed by front-end solutions such as applications, dashboards and portals without having to know the data's exact storage location. What are the benefits of Data virtualization? ·          Data virtualization increases revenues. ·          Data virtualization lowers costs. ·          Data virtualization reduces risks ·          It is much faster way to manage data. ·          It complements traditional data-warehouse ·          It maximize performance of

MySQL Table Partitioning over cloud (Google & AWS)

AWS documentation also says horizontal physical partitioning of large table data is best practices instead keeping all in one physical file. There are advantages and disadvantages to using InnoDB file-per-table tablespaces, depending on your application. To determine the best approach for your application, go to InnoDB File-Per-Table Mode in the MySQL documentation. We don't recommend allowing tables to grow to the maximum file size. In general, a better practice is to partition data into smaller tables, which can improve performance and recovery times. One option that you can use for breaking a large table up into smaller tables is partitioning. Partitioning distributes portions of your large table into separate files based on rules that you specify. For example, if you store transactions by date, you can create partitioning rules that distribute older transactions into separate files using partitioning. Then periodically, you can archive the historical transaction data th