Monitoring Data Growth With Query Exporter + Prometheus + Grafana

In this experimental scenario , gathering the table growth statistics using query exporter and loading the data into time series Prometheus database . Grafana dashboards shows the growth in minutes basis

Table growth statistics gathered from localhost mysql instance for testing purpose

Frequently receiving questions like , how to we monitor the data growth of each critical tables. We can have some statistics about data growth and add convenient space for future

Launched three separate docker containers ( Query Exporter , Prometheus and PMM Server ) for each components . Added additional Dashboards in PMM Server for testing purpose

Docker Containers

Prometheus and Query Exporter Configuration files mapped with localhost volume like below ,

docker run -p 9560:9560/tcp -v "$PWD/config.yaml:/config.yaml" --rm -it adonato/query-exporter:latest -- /config.yaml

docker run -p 9090:9090 -v /tmp/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus

config.yaml ( Query Exporter configuration file ) :

databases:
  datablogs:
    dsn: mysql://queryexporter:test123@172.31.90.32:3306/test
    keep-connected: true

metrics:
  metric1:
    type: gauge
   # type: counter
    description: A sample gauge

queries:
  query1:
    interval: 3s
    databases: [datablogs]
    metrics: [metric1]
    sql: SELECT TABLE_ROWS as metric1 FROM information_schema.tables WHERE table_schema = 'test' and table_name='actor';

prometheus ( Prometheus configuration file ) :

global:
  scrape_interval: 15s

scrape_configs:
  - job_name: 'queryexporter'
    scrape_interval: 5s
    static_configs:
      - targets: ['172.17.0.3:9560']

Both Query Exporter and Prometheus docker container started and we have to allow appropriate ports to access the web console through browser

AWS Console Inbound Rules

Lets verify the Query Exporter and Prometheus running status

Query exporter metrics

Prometheus targets status

Query Exporter is gathering the statistics and loading the data into Prometheus database . Then

Add the Prometheus data source into Grafana

Using the collected metrics display the dashboards on every minutes

Monitoring Dashboards

References :

Query Exporter : https://github.com/albertodonato/query-exporter

PMM Server : https://www.percona.com/doc/percona-monitoring-and-management/2.x/install/docker-setting-up.html

Prometheus : https://www.digitalocean.com/community/tutorials/how-to-install-prometheus-using-docker-on-ubuntu-14-04

Multi Source Replication from GCP Cloud MySQL to Percona XtraDB Cluster

It is easy to migrate the MySQL databases from one cloud provider to another cloud provider , but without downtime is little difficult to migrate the 1 TB of data . Using GTID based replication is easy to achieve in few hours of effort

Before go into detail , we will go through explanations of each things,

What is Cloud MySQL ?

Google Cloud Managed service for MySQL Database servers . It is supporting MySQL 5.6 and 5.7 with first and second generation instances . First and Second generation differs with allocating RAM and Storage

What is Percona xtradb cluster ?

Synchronous multi-master replication using percona MySQL server and percona xtrabackup using galera Library . As recommended it should contains odd number of nodes and same data spanned with all nodes

What is multi-source replication ?

MySQL multi-source replication enables a replication slave to receive transactions from multiple immediate masters in parallel

In this scenario , we have to migrate more than 3 GCP Cloud MySQL Managed instances into

Percona Galera Cluster . Before proceed to migrate the data , it is requires to compare MySQL 5.7 and Percona MySQL 5.7

https://www.percona.com/doc/percona-server/5.7/feature_comparison.html

So that we can avoid impact after migrating the data into new server

Instructions follow to setup multi source replication ,

• In GCP MySQL Instance , take a user database backup from each instances separately through mysqldump or using export in GCP GUI Console and move to backup files to destination server using gsutil or scp utility

mysqldump --user=root --password --host=gcpinstance1 sourcedb1 > mysqldump1.sql

mysqldump --user=root --password --host=gcpinstance2 sourcedb2 > mysqldump2.sql

• Before goes to next steps , we have to ready with three node percona XtraDB cluster environment before proceeds with next steps
• In Percona XtraDB Cluster end , need to modify below server variables in my.cnf file for GTID based replication and restart mysql service

[mysqld]
server-id=[SERVER_ID]
gtid_mode=ON
enforce_gtid_consistency=ON
log_slave_updates=ON
replicate-ignore-db=mysql
binlog-format=ROW
log_bin=mysql-bin
expire_logs_days=1
read_only=ON

Same Changes needs to edit for additional node of percona cluster

• Restore multiple source cloud mysql backup into one percona cluster instance

mysql --user=root --password --host=perconainstanceslave < mysqldump1.sql

mysql --user=root --password --host=perconainstanceslave < mysqldump2.sql

• Once restore is completed , we need to add multiple source of GCP Cloud MySQL instances into single percona cluster instance using below command

CHANGE MASTER TO MASTER_HOST="gcpinstance1", MASTER_USER="slaveuser1",MASTER_PASSWORD="slaveuser1", MASTER_PORT=3306, MASTER_AUTO_POSITION = 1;

CHANGE MASTER TO MASTER_HOST="gcpinstance2", MASTER_USER="slaveuser2",MASTER_PASSWORD="slaveuser2", MASTER_PORT=3306, MASTER_AUTO_POSITION = 1;

One we execute this , we will get below error due to applied transactions exists already in slave server or we will get duplicate transactions issues commonly

Slave_IO_Running: No

Slave_SQL_Running: Yes

Last_IO_Error: Got fatal error 1236 from master when reading data from binary log: 'The slave is connecting using CHANGE MASTER TO MASTER_AUTO_POSITION = 1, but the master has purged binary logs containing GTIDs that the slave requires.'

• So,We need to get gtid_purged values from each separate source backups to ignore the deleted transactions in the binary log and troubleshoot above issues

Get gtid values

cat mysqldump1.sql | grep GTID_PURGED | cut -f2 -d'=' | cut -f2 -d$'''

cat mysqldump2.sql | grep GTID_PURGED | cut -f2 -d'=' | cut -f2 -d$'''

• To set global GTID_PURGED values , needs to do reset master in percona galera cluster . If server is in cluster not possible to execute reset master command . Needs to disable wsrep_provider variable in wsrep.conf to execute reset master and restart mysql service in slave server

#wsrep_provider = /usr/lib/galera/libgalera_smm.so

• Once mysql service is restarted , we can able to do reset master in percona galera cluster server and set GTID_PURGED values

Set GTID_PURGED Value :

Configure gtid values

Check Show Slave Status G :

Slave Status

We able to see slave server is get synced in few minutes , and seconds_behind_master is 0

Check Show Processlist :

Highlighted the multi master servers ( two servers ) is syncing to slave server

Processlist

Once completed all the steps , enable cluster wsrep_provider variable in wsrep.conf and restart mysql service in slave server

Verify once again the slave status and processlist :)

References :

External Replica Setup : https://cloud.google.com/sql/docs/mysql/replication/configure-external-replica

Get gtid_purged : https://dev.mysql.com/doc/refman/8.0/en/replication-multi-source-provision-slave.html

Set gtid_purged and troubleshoot : https://dev.mysql.com/doc/refman/8.0/en/replication-multi-source-provision-slave.html

MySQL GTID Replication and lower_case_table_names

Error 'Table 'EMPLOYEES.POSITION' doesn't exist' on query. Default database: 'employees'. Query: 'ALTER TABLE EMPLOYEES.POSITION ADD COLUMN phone VARCHAR(15)'

Interesting , table exist on slave server . But we are getting above error frequently and unable to broken the replication because database size is too big

We are having environment as GTID replication setup with windows server (Master) to Ubuntu Linux machine (Slave) . When we dig into all the findings , concluded its may be with case sensitivity issue . Lower_case_table_names variable value is same on both servers . But as per MySQL documents 

Database and table names are not case-sensitive in Windows , but are case-sensitive in most varieties of Unix.Column,index,stored routine, and event names are not case-sensitive on any platform,nor are column aliases

So , decided to tackle the current situation without data loss in slave server . Changing the lower_case_table_names is not best practice and it will corrupt case_sensitive names data files . 

we have stopped the slave , executed all the DML and DDL statements in slave server to match the schema deployments with master server .

And followed GTID replication error skipping process to skip the transactions manually handled in slave servers 

Capture the error GTID with master binlog files

root@master:/var/log/mysql# mysqlbinlog --start-position=904 mysql-bin.000004

/*!50530 SET @@SESSION.PSEUDO_SLAVE_MODE=1*/;

/*!50003 SET @OLD_COMPLETION_TYPE=@@COMPLETION_TYPE,COMPLETION_TYPE=0*/;

DELIMITER /*!*/;

# at 4

#200102 11:35:24 server id 1 end_log_pos 123 CRC32 0x14c9c2f7 Start: binlog v 4, server v 5.7.28-0ubuntu0.16.04.2-log created 200102 11:35:24

# Warning: this binlog is either in use or was not closed properly.

BINLOG '

fNUNXg8BAAAAdwAAAHsAAAABAAQANS43LjI4LTB1YnVudHUwLjE2LjA0LjItbG9nAAAAAAAAAAAA

AAAAAAAAAAAAAAAAAAAAAAAAEzgNAAgAEgAEBAQEEgAAXwAEGggAAAAICAgCAAAACgoKKioAEjQA

AffCyRQ=

'/*!*/;

# at 904

#200102 12:06:51 server id 1 end_log_pos 969 CRC32 0x3564eba7 GTID last_committed=4 sequence_number=5 rbr_only=yes

/*!50718 SET TRANSACTION ISOLATION LEVEL READ COMMITTED*//*!*/;

SET @@SESSION.GTID_NEXT= '69b98063-2d31-11ea-9586-12b321a8670d:78'/*!*/;

# at 969

#200102 12:06:51 server id 1 end_log_pos 1042 CRC32 0xb527b5d3 Query thread_id=328 exec_time=0 error_code=0

Skipped the binlog position 904 transactions in slave server

mysql> stop slave;

Query OK, 0 rows affected (0.00 sec)

mysql> SET @@SESSION.GTID_NEXT= '69b98063-2d31-11ea-9586-12b321a8670d:78';

Query OK, 0 rows affected (0.00 sec)

mysql> begin ; commit;

Query OK, 0 rows affected (0.00 sec)

Query OK, 0 rows affected (0.00 sec)

mysql> SET gtid_next=automatic;

Query OK, 0 rows affected (0.00 sec)

mysql> start slave;

Query OK, 0 rows affected (0.00 sec)

Finally , GTID Replication begins to sync pending SQL threads and upto date the data with Master server !!!

Docker with Percona Backup for MongoDB

Sounds interesting from Percona Backup tool for MongoDB !!! I just wants to try and explore the tool with docker on today !!! Docker is first time for me , but in few days docker become favorite one to use for all kind of HA scenario works

Lets move into today's practices and issues ,

Note : Percona Backup for MongoDB supports Percona Server for MongoDB or MongoDB Community Server version 3.6 or higher with MongoDB replication enabled

Step 1 : Launched the Ubuntu 16.04 machine from AWS , then updated the latest packages and installed the docker 

sudo apt-get update 

sudo apt install docker.io

sudo systemctl start docker

sudo systemctl enable docker  

Once docker installed with latest package verify the docker version using docker --version 

Step 2 : Installed two docker mongo containers with replica set enabled 

docker run --detach --name datablogs-mongo-primary --volume /var/lib/mongo:/data/db --volume /etc/mongodb.conf:/etc/mongo.conf --publish 44444:27017 mongo --replSet datablogs-repl-set

docker run --detach --name datablogs-mongo-secondary --volume /var/lib/mongo-slave:/data/db --volume /etc/mongodb-slave.conf:/etc/mongo.conf --publish 55555:27017 mongo --replSet datablogs-repl-set

We need to access the mongoDB instances outside the world , so I have publised the mongo db ports with different one 

                                                             --publish 44444:27017

                                                             --publish 55555:27017

To access the mongoDB , we need to check the IP Address of both containers using below command

docker inspect datablogs-mongo-primary | grep IPAddress

docker inspect datablogs-mongo-secondary | grep IPAddress

-- usage of extensions refer with docker help

Step 3 : Configure mongo replica 

We need to login with docker command line and configure and start the replication between mongo servers . login into primary mongo container and execute below commands in mongo shell ,

docker exec -it datablogs-mongo-primary /bin/bash

config = {"_id" : "datablogs-repl-set","members" : [{"_id" : 0,"host" : "172.17.0.2:27017"},{"_id" : 1,"host" : "172.17.0.3:27017"}]};

rs.initiate(config);

Once we initiated the replication primary mongo shell will be changed 

Step 4 : Install Percona Backup and Configure 

Before proceeding this activity , we need to update and upgrade the packages using apt-get on each mongo containers

Installed the percona backup for mongoDB with below reference URL , we need to follow percona site for proper installation 

https://www.percona.com/doc/percona-repo-config/percona-release.html

https://www.percona.com/blog/2019/12/17/percona-backup-for-mongodb-in-action/

Once installed the pbm tool , login each mongo containers  set storage path and start the pbm agent . I have used local storage path for mongo backup

storage.yaml : 

type: filesystem
filesystem:
  path: /tmp

pbm store set --config=storage.yaml --mongodb-uri="mongodb://127.0.0.1:55555/"

pbm-agent --mongodb-uri mongodb://172.17.0.2:27017 &

Step 5 : Backup and restore the collections using pbm 

Once completed the setup running the backup in secondary mongo server 

pbm backup --mongodb-uri mongodb://127.0.0.1:27017

Dropped the datablogs db and restored the backup using pbm

Finally verfied the db and collections in primary server 

Am Really happy tested percona backup for mongoDB with Docker today !!! Keep learning !!!

Sensitive Data Cleaning with MasKING

Wow !!! Its easy too restore sensitive data without any fear !!!

Its really tough sometimes , we restored the sensitive data without knowing and test mails triggered to customer as $100 deducted from your account for purchase . Its strange scenario when we missed to cleansing the customer data in DEV Sandbox !!!

Yes MasKING sensitive / Credential is easy now !!! Reference : https://github.com/kibitan/masking

Just tried simple practice for masking the paymentdb table data with masking , Its working as expected

Step 1 : Installed latest Ruby version and masking using below commands . Before doing install , update the server with latest packages

rvm install ruby-2.6.3

gem install masking

Step 2 : Create masking.yml file anywhere in your linux machine . I have created the file inside etc directory with below values

In this address is table in paymentdb and name , email are few columns in address table

Step 3 : Now ready to take backup with masking utility of paymentdb

mysqldump --complete-insert -u root -p paymentdb | masking -c /var/lib/mysql/masking.yml > /tmp/paymentdb.sql

                                

Step 4 : Restoring the paymentdb backup database into paymentdb_masked

mysql -u root -p paymentdb_masked < /tmp/paymentdb.sql

Step 5 : Yay !!! Data has been successfully masked with masking utility . Results are below

Yup !!! Saved one more escalation !!! Thanks to MasKING :)

Repair GTID Based Slave on Percona Cluster

Problem : 

We are running 5 node percona cluster on Ubuntu 16.04, and its configured with master-slave replication. Suddenly we got an alert for replica broken from slave server, which was earlier configured with normal replication 

We have tried to sync the data and configure the replication, unable to fix that immediately due to huge transactions and GTID enabled servers. So we have decided to follow with innobackupex tool, and problem fixed in 2 hours 

Followed all the steps from percona doc and shared the experience in my environment 

Steps involving to repair the broken Replication :

1.Backup master server 

2.Prepare the backup 

3.Restore and Configure the Replication

4Check Replication Status

1.Backup master server 

We need to configure the complete master server database into a slave. So we are taking a full backup from the master server, before proceeding the backup we should check disk space available for the backup because of its system-level backup 

We have created a specific user for taking a backup from master server, once the backup is completed will get OK like below,

2. Prepare the backup for Restore

We need to prepare the backups to apply the transaction logs into data files, once it is OK, data files are ready to restore 

Before moving the prepared files into slave server, verify the GTID information from xtrabackup_binlog_info 

3.Restore and Configure the Replication

We can restore the backup else to create a new data directory and move the files into the directory. Stop mysql service before start restoring

innobackupex --copy-dir /mnt/2019-11-26_09-35-31

Default it will restore the data related files in server datadir , using the server my.cnf configuration file .Once changed the data directory, we need to change the owner and permission of the MySQL data directory 

chown mysql:mysql /mnt/mysqldatanew

And restart the service with a new data directory, once its started login with master MySQL root user password. Because we have taken file backup from the master so metadata will be the same of master

Execute below commands to configure the replication 

4. Check Replication Status

Once slave is configured, verify the replication status as below 

Also, Slave has retrieved a new transaction 

Thanks for Reading !!!