Active active replication in PostgreSQL

Lets deep into active active high availability solution on PostgreSQL 

Detailed Session on the Live Recording Session 

https://www.youtube.com/playlist?list=PLlYYbZpzszyV4rpM4yiyJ4G1im10R83kD

PostgreSQL Table Partition on AWS RDS

If we grow bigger in the business , seamlessly our customer and transaction data also increases . In the meantime performance needs to consider as well 

So in this case of bigger tables indexes will not help us to achieve good performance on peak times . Alternatively we have partitioning to split the tables data into multiple pieces on all the relational database environments 

Like wise we are going to do range partition on sample table in PostgreSQL Database , In PostgreSQL three types of partition methods are available , 

Below are the important concern in the PostgreSQL Partition ,

• Possible to attach regular table into partitioned one 
• Not Possible to transform regular table to partitioned one   

So based on the above formula , we have tried to transform regular table into partitioned one for your reference 

Any one can use this example and perform partitioning in AWS PostgreSQL RDS easily 

Click GitHub Link for Code : AWS-PostgreSQL-RDS-Table-Partition

Step 1 : Create base datablogspaycheck table and insert some sample records 

DROP TABLE IF EXISTS datablogspaycheck CASCADE;

DROP SEQUENCE IF EXISTS public.paycheck_id_seq;

CREATE SEQUENCE public.paycheck_id_seq

    START WITH 1

    INCREMENT BY 1

    NO MINVALUE

    NO MAXVALUE

    CACHE 1;

create table datablogspaycheck

(

    payment_id int NOT NULL DEFAULT nextval('public.paycheck_id_seq'::regclass), 

    created timestamptz NOT NULL,

    updated  timestamptz NOT NULL DEFAULT now(),

    amount float,

    status varchar DEFAULT 'new'

);

CREATE INDEX idx_paycheck ON datablogspaycheck (created);

INSERT INTO datablogspaycheck (created) VALUES (

generate_series(timestamp '2023-01-01'

               , now()

               , interval  '5 minutes') ); 

Step 2 : Rename base table with new name

ALTER TABLE datablogspaycheck RENAME TO datablogspaycheck_basetable;

Step 3 : Create Partitioned table 

create table datablogspaycheck

(

    payment_id int NOT NULL DEFAULT nextval('public.paycheck_id_seq'::regclass), 

    created timestamptz NOT NULL,

    updated  timestamptz NOT NULL DEFAULT now(),

    amount float,

    status varchar DEFAULT 'new'

)PARTITION BY RANGE (created);

Step 4 : Create Separate Partition for each create date 

CREATE TABLE datablogspaycheck_202303 PARTITION OF datablogspaycheck

    FOR VALUES FROM ('2023-01-01') TO ('2023-03-01');

   

CREATE TABLE datablogspaycheck_20230304 PARTITION OF datablogspaycheck

    FOR VALUES FROM ('2023-03-01') TO ('2023-04-01');

    

CREATE TABLE datablogspaycheck_202304 PARTITION OF datablogspaycheck

    FOR VALUES FROM ('2023-04-01') TO ('2023-05-01');

    

CREATE TABLE datablogspaycheck_202311 PARTITION OF datablogspaycheck

    FOR VALUES FROM ('2023-05-01') TO ('2023-11-01');

   

CREATE TABLE datablogspaycheck_2024 PARTITION OF datablogspaycheck

    FOR VALUES FROM ('2023-11-01') TO ('2024-01-01');

Step 5 : Migrate the all records

insert into datablogspaycheck (payment_id,created,updated,amount,status) select payment_id,created,updated,amount,status from datablogspaycheck_basetable;

Step 6 : Validate each partition 

select * from datablogspaycheck_202303 order by 2 desc

select * from datablogspaycheck_20230304 order by 2 desc

select * from datablogspaycheck_202311 order by 2 desc

Its done , Easily migrated normal table data into partitioned table 

Thanks for Reading !!!

Deep dive into Babelfish Compass

        Wow !!! If suppose on the migration projects we need to more stuffs and things to convert when coming to procedures , functions and other database objects 

But AWS is providing good things to migrate with easy steps , Ha Ha ... Don't overthink still you need to do 40% code migration works 

In this part Babelfish Compass is giving various options to support migration the codes from SQL Server to PostgreSQL with bebelfish feature enabled PaaS servers 

Below are easy steps on the Script Conversations

Prerequisites 

• Install a 64-bit Java Runtime Environment (JRE) version 8 or higher

1.Download Compass Tool in Below 

https://github.com/babelfish-for-postgresql/babelfish_compass/releases/tag/v.2023-03-a

Needs to download .zip file to work with Babelfish Compatibility 

2.Unzip and Place the files in separate folder 

3.Be Ready with you SQL Database Generated Scripts file and Copy it in Same Folder 

Database name has been highlighted in below , 

4.Next , we can start running report with Babelfish Compass 

C:\Users\Admin\Downloads\BabelfishCompass_v.2023-03-a\BabelfishCompass>BabelfishCompass.bat reportfinal datablogsdbprod.sql

5.Finally Reports are generated in Documents Directory 

6.We can review the reports in any format , for me its easy with in HTML browser 

Just double click the HTML document , So like below we will get supported and unsupported features details in depth . 

We can directly go and debug the code . Also bebelfish compass is having plenty of methods to rewrite the code , we will check it in next blog 

Happy Coding !!!

Oracle RDS Audit log enable

Oracle Audit Log : 

Oracle Audit Log refers to the feature in Oracle Database that records and stores information about various database activities and events. It provides a mechanism to track and monitor user activities, system events, and changes made to the database.

1. User Logins: Recording user login attempts and authentication information.
2. Database Activities: Logging SQL statements executed by users, including select, insert, update, and delete operations.
3. Privilege Usage: Monitoring the usage of privileges, such as granting or revoking permissions.
4. Schema Changes: Tracking modifications to database objects, such as creating or altering tables, views, or indexes.
5. System Events: Recording system-level events, such as startup and shutdown of the database.
6. Security Violations: Detecting unauthorized access attempts or suspicious activities.
7. Administrative Operations: Logging administrative tasks performed by database administrators, such as user management or database configuration changes.

The Oracle Audit Log provides an essential tool for security, compliance, and troubleshooting purposes.

Types of Auditing in Amazon RDS for Oracle : 

1. Standard Auditing 
2. Unified Auditing 
3. Fine-grained Auditing

We are going to see , how do we enable Standard auditing in Oracle RDS 

How to enable Audit Log in Oracle RDS?

Make sure you have enabled custom parameter group for Oracle RDS 

• Modify below values for Audit_Trail Parameter 

            Audit_Trail - DB, EXTENDED

• Next ,Just needs to modify below DDL or DML statements to capture the logs from the server 

            AUDIT DELETE ANY TABLE;

            AUDIT DELETE TABLE BY USER_01 BY ACCESS;

            AUDIT DELETE TABLE BY USER_02 BY ACCESS;

            AUDIT ALTER, GRANT, INSERT, UPDATE, DELETE ON DEFAULT;

            AUDIT READ ON DIRECTORY datapump_dir;

Its all done , we have enabled required logs to capture for security purpose 

How to we monitor Audit Logs ? 

We can just run the below command get the captured audit logs in Oracle RDS ,

SELECT * FROM DBA_AUDIT_TRAIL order by 1 desc 

Its just for normal scenario , explained the process . Still we can separate Audit Table space and many further things are available in Oracle . Let see on another blogs 

Happy Auditing !!!

How to Automate MongoDB Database Backups in Linux

We have setup of One Primary with Multiple Secondary

Even if we configured highly available setup and backups , native backup are so special to take it and keep it somewhere in the cloud 

using the below script we can easily schedule backup in Linux environments  

https://github.com/selvackp/MongoNativeBackup-/blob/main/mongo_dump.sh

export PATH=/bin:/usr/bin:/usr/local/bin
#Decalre Today Date
TODAY=`date +"%d%b%Y"`

#Declare Variables Required to pass for mongo dump command
DB_BACKUP_PATH='/mnt/mongobackup'
MONGO_HOST='localhost'
MONGO_PORT='27017'
MONGO_USER='xxxxxxxxxxx'
MONGO_PASSWD='xxxxxxxxxxxxx'
DATABASE_NAMES='ALL'

#Remove Old Backup Files 
find ${DB_BACKUP_PATH} -name "*.zip" -type f -mtime +3 -delete

find ${DB_BACKUP_PATH} -type d -mtime +3 -exec rm -rf {} \;

#Create Directory for Backup
mkdir -p ${DB_BACKUP_PATH}/${TODAY}
cd ${DB_BACKUP_PATH}/${TODAY}/

if [ ${DATABASE_NAMES} = "ALL" ]; then
	echo "You have choose to backup all database"
	mongodump --uri="mongodb://${MONGO_USER}:${MONGO_PASSWD}@${MONGO_HOST}:${MONGO_PORT}"
else
	echo "Running backup for selected databases"
	for DB_NAME in ${DATABASE_NAMES}
	do
	mongodump --uri="mongodb://${MONGO_USER}:${MONGO_PASSWD}@${MONGO_HOST}:${MONGO_PORT}/${DB_NAME}"
	done
fi

#Compress The Backup
cd ${DB_BACKUP_PATH}/${TODAY}

zip -r ${DB_BACKUP_PATH}_${TODAY}.zip ${DB_BACKUP_PATH}/${TODAY}

cd ${DB_BACKUP_PATH}/${TODAY}

#Copy the Compressed file into Azure Container using Shared Access Token
azcopy cp ${DB_BACKUP_PATH}_${TODAY}.zip "https://xxxxxxxxxxx.blob.core.windows.net/xxxxxxxxxxxx?sp=w&st=xxxxxTxxxxxxxZ&se=xxxxxxZ&spr=https&sv=2021-06-08&sr=c&sig=csdfcdsxxxxxxxxxxxxxxx" --recursive=true

#Send Mail with Backup Logs 
if [ $? -ne 0 ]
then
        echo "Mongo Native backup Failed in $(hostname) $(date). Please contact administrator." | mail -r mail@datablogs.com -s "Mongo Native backup Failed $(hostname)" dbsupport@datablogs.com < /mongodata/cronscripts/mongo_backup_log.log

        else

        echo "Mongo Native backup completed in $(hostname)." | mail -r mail@datablogs.com -s "Mongo Native backup completed in $(hostname)" dbsupport@datablogs.com < /mongodata/cronscripts/mongo_backup_log.log
fi

Restore and Point in time Restore with Percona Backup of MongoDB on another instance

Its easy to recover MongoDB Backup using Percona Backup for MongoDB

https://medium.com/@datablogs/restore-and-point-in-time-restore-with-percona-backup-of-mongodb-on-another-instance-4766f4468443