The Disaster Recovery plan is composed of a number of sections that document resources and procedures to be used in the event that a disaster occurs. Each supported computing platform has a section containing specific recovery procedures. There are also sections that document the personnel that will be needed to perform the recovery tasks and an organizational structure for the recovery process.
Goal of the plan is to
- To minimize interruptions to the normal operations.
- To limit the extent of disruption and damage.
- To minimize the economic impact of the interruption.
- To establish alternative means of operation in advance.
- To train personnel with emergency procedures.
- To provide for smooth and rapid restoration of service.
Overview of the BangDB Platform and System
BangDB is a converged database to align with the emerging data trends and meeting challenges due to this to help users build modern application in time accelerated manner. BangDB combines following from very high level.
- Multi-model Database
- Stream and time-series data processing
- Graph processing
Most of the use cases today are demanding some or all of the above features. We have different tools and systems in different area and it’s up to the developer or users or organizations to take those different pieces and stitch them together before building the business application on top of it. It takes lots of resources, time and money to build such platform. Further, application building and then maintaining such system is hard. Finally having different silos for different areas makes it hard to scale and perform at the same time.
Therefore, there is a need for a converged platform, which natively supports these different high-level functionalities and allows users to focus on building the application. The platform acts like off-the-shelf no-code platform for users to build applications. BangDB is currently being offered in following different manner
- Community Edition
Here is the list of features of BangDB
This document is intended for Developer, SysAdmin, DevOps, CIOs and other group of people who are managing the BangDB deployment. The document provides a blueprint for managing BangDB deployment and ensuring that the Business operation and data is resilient to any unforeseen and untoward issues/incidents. Data, application is secure from any disruptions and data is never lost in any case.
Purpose of DR plan
- Catastrophic failure of system, infrastructure
- Calamities and natural disaster
- Human error
All the above are disaster can happen and our plan should be ready to tackle that. The document has details and steps for concerned people to ensure that data is always secure, persisted and recovered in any scenario.
A backup and disaster recovery plan and strategy is necessary to protect the mission critical data against these types of attacks and incidents. With the strategy in place, business and concerned people will be at peace as far as data protection is concerned as they will have a plan in case of such disasters.
Database systems are the most important and critical piece in the applications. It’s of paramount importance for organizations to ensure the safeguard of the data and plan in place to recover the data in any condition. However, it’s also not straight forward to create the plan as it can get from simple to complex depending upon the criteria, context and requirement. Therefore, a lot of inherent support is sought from the database itself. BangDB has worked hard and continuously working to simplify the process yet provide absolute guarantee for data recovery and persistence.
Backup systems takes the snapshot of data at any point in time and secures it for future recovery. When we need to recover data, we simply use the snapshot to take us to the point at which the backup was taken. However, there are many factors which may be important to consider defining the best strategy for the organization. It is also important to take the various configurations and db strategy also into account. Most of the time the database configuration may have influence on the backup strategy and at the same time the backup considerations may require database configurations to be set in a particular manner.
There are two important point for organization to consider for setting up the disaster recovery plan in place.
- Recovery point objective
- Recovery time objective
- Cost and budget
|Point of consideration||Description|
|Recovery point objective||How much data loss is the organization is willing to tolerate in the event of an incident|
|Recovery point objective||How quickly the data should be recovered in case of an incident. This includes the time to copy the data back to the servers, recover the data by replaying logs if set up or designed the configuration that way|
|Isolation||Backups are to be separated from the physical production system, ideally in multiple places|
|Backup types||Backup entire db files|
Backup only WAL files
Backup both db and WAL file
|Restore process||This is very important part of the strategy and BangDB offers several choices and options here.|
Backup can be done using the inbuilt auto-recovery process or by restoring the entire db files
|System state during backup||In case of distributed deployment and shards, it is important to remain consistent from the data and application point of view|
|Backup mechanism||Copy of files, db and/or WAL files|
Block/disk sync, snapshots, datadump
|Replication||Replication of data also provides natural backup|
BangDB Backup Strategies
A. Data dump strategy
A. Data dump strategy
BangDB has datadump functionality which dumps the entire database (or selected tables) on the disk. This dump file can then be copied to secure location for future need.
Database doesn’t need to be stopped, it is done like any other operation
Step to take backup
- Call datadump() from client or CLI
- Copy the dump file to network storage or cloud or elsewhere
Step to recover
- Copy the dump file to the data folder
- Start the database
- Simple to take the dump
- It takes the database files only, log (WAL) files dump is not required
- Recovery isn’t required as db files are in proper state when dumped, hence BangDB starts without getting into recovery mode
- Good for small size database, with less load and operations
- Takes the full db dump all the time, hence heavy operation, not suitable for frequent dumps
- Entire db files need to be copied all the time to network location for securing
- Not suitable for busy and mid to large size database for frequent backups
B. Copy the DB and log files
BangDB will keep copying the underlying db and log files to some secure location. Typically, a daemon or some other service is run by the users to keep taking backups of the db and log files. This doesn’t disturb database at all. This is totally dependent on network bandwidth. Ideally there should be a dedicated network line for these copying so that normal connections are not used for this copy as the size of the files could be large. We can also set up block level copy or syncing, further many other efficient tools and techniques can be used to keep the mounted disk in sync with other network disk. Filesystems snapshots, filesystem copy tools, or other enterprise tools can be used to just keep these two folders synced with the backup folders
Database doesn’t need to be stopped, and it can be done anytime as required or configured
Step to take backup
- Copy the db files (all the files under /data forlder) and the WAL files (all the files under /logdir folder) to secure location
Step to recover
- Copy the backup files into the /data and /logdir folder
- Start the server. Server does auto recovery
- Very simple operation
- Recovery is simple and automated, nothing extra is required from users’ side
- Crash, machine breakdown or any other case, DB will always auto recover
- It is based on Write Ahead Log (WAL) mechanism coupled with checkpointed db data, hence it recovers very fast (average 50MB/sec). If checkpointing is frequent, then few seconds are good to recover the data (as it will only recover from last checkpoint mark)
- Need to copy both /data and /logdir folder. Better sync the mounted FS
The recovery time depends on database checkpointing configuration. Default checkpointing frequency is very aggressive for BangDB hence this works for most of the heavy load scenarios as well. However, we can tweak this as per the requirement to balance the RPO and RTO tradeoffs.
To set this param correctly, use following
// by default, it’s 1 CHKPNT_ENABLED = 1
// default value is 933700 micro sec [ almost 1 sec] CHKPNT_FREQ = 933700
Notes on checkpointing
If checkpoint is ON, then BangDB keeps syncing the data from the buffer pool (page cache) to this disk. This means that it checks its internal stats and figures out if data needs to be written to the disk or not. Since WAL is in place for BangDB, therefore, checkpointing is not mandatory. WAL itself guarantees the data durability and when required, DB can recover the data from WAL files using auto recovery mode. The WAL recovers with around 50MB /sec speed. Therefore, the time taken for recovery depends on how much data is to be recovered.
When checkpointing is ON, then db recovers the data from the last checkpointed mark. Which means all the data that has not been written to the db files. Hence the amount of data to be recovered can be reduced to great extent. Size of db also doesn’t matter. Depending upon the checkpointing setting, and the number of operations happening on database, if on an average 1 GB of data is not checkpointed, then recovery would take ~1000/50 = ~20 seconds. At this point the data is recovered and db is in consistent state. Post this, DB may do more operations as well to get few stats ready.
Therefore, it’s important to set the checkpoint appropriately. More frequent checkpointing will cause db to do more of data sync work and less would cause higher recovery time. Please note that, checkpoint frequency doesn’t force db to checkpoint every time, it’s up to the db to take the call and it uses several parameters to decide whether to write data or not.
BangDB Backup Strategies Comparison
|File System Snapshots||Datadump|
|Recovery Point Objective||Default snapshot frequency along with checkpoint frequency. Data and logdir. Works good for mid to large database with above average number of all sorts of operations. Around 1 sec for checkpoint frequency and 1 to 6 hours of backup frequency (It could be continuous as well using other tools)||Customized configuration setting based on requirements. For extreme high performance and less frequent snapshots. Checkpoint setting could be in few seconds and every 6 hours to 24 hours of backups frequency. Only data file could also be copied (without log files), however it will be then ask for RPO tolerance||Every day once is good but suitable for small database with less operations|
|Recovery Time Objective||It depends on many things outside database as well, for example, where is data backup on network, latency, size etc. But from DB perspective, this works fast. More frequent snapshots, faster recovery time||If customized, then it depends on frequency of checkpoint and backup. If only DB files are copied then recovery time is fastest, however RPO needs to be adjusted accordingly||No loss of time from DB perspective for recovery, only network latency and size of dump file is important|
|Isolation||It depends on how far the snapshots are kept and the latency to get the data copied from remote server to the db server||It depends on how far the snapshots are kept and the latency to get the data copied from remote server to the db server||It depends on how far the snapshots are kept and the latency to get the data copied from remote server to the db server|
|Performance Impact||Default setting is optimal for high performance of DB, RPO and RTO. Therefore, most of the time settings should be good for mid to large size database. But the copying of data back and forth would take time, syncing at disk level could be efficient but cost need to be considered||We can customize the parameters and set them according to our need. High performance at run time would mean longer recover time due to less checkpoint hence longer recovery time||Recovery time is highest in this case but the run time performance is lowest. |
It depends on how far the snapshots are kept and the latency to get the data copied from remote server to the db server
|Restore process||BangDB auto recovers the data, no other steps are needed||BangDB auto recovers the data, no other steps are needed||Recovery is not needed|
Details of BangDB Backup Mechanism
High level of BangDB checkpoint and backup operations
This describes how BangDB checkpoints the data and several steps for the files and data backup
DR with different availability zones
BangDB can be deployed in multiple availability zones and the files and data backed up accordingly. This also ensures higher availability