As of ThingsBoard v.2.5.4/3.1.1, telemetry and attributes of entities are not automatically deleted when entities themselves are deleted, which causes performance degradation (because of decreasing query speed) and filling up of the disk space . Lower are queries for the PostgreSQL database to delete telemetry and attributes.
Deleting timeseries of previously deleted entities:
DELETE * FROM ts_kv WHERE entity_id NOT IN (SELECT id FROM device) AND entity_id NOT IN (SELECT id FROM asset) AND entity_id NOT IN (SELECT id FROM customer) AND entity_id NOT IN (SELECT id FROM tenant) AND entity_id NOT IN (SELECT id FROM entity_group) AND entity_id NOT IN (SELECT id FROM integration) AND entity_id NOT IN (SELECT id FROM converter) AND entity_id NOT IN (SELECT id FROM entity_view) AND entity_id NOT IN (SELECT id FROM tb_user) AND entity_id NOT IN (SELECT id FROM dashboard) AND entity_id NOT IN (SELECT id FROM rule_chain) AND entity_id NOT IN (SELECT id FROM role);
Deleting attributes of previously deleted entities:
DELETE * FROM attribute_kv WHERE entity_id NOT IN (SELECT id FROM device) AND entity_id NOT IN (SELECT id FROM asset) AND entity_id NOT IN (SELECT id FROM customer) AND entity_id NOT IN (SELECT id FROM tenant) AND entity_id NOT IN (SELECT id FROM entity_group) AND entity_id NOT IN (SELECT id FROM integration) AND entity_id NOT IN (SELECT id FROM converter) AND entity_id NOT IN (SELECT id FROM entity_view) AND entity_id NOT IN (SELECT id FROM tb_user) AND entity_id NOT IN (SELECT id FROM dashboard) AND entity_id NOT IN (SELECT id FROM rule_chain) AND entity_id NOT IN (SELECT id FROM role);
However, in PostgreSQL deleted rows are not physically removed from the table, they remain present until the VACUUM command is done, as described here: https://www.postgresql.org/docs/11/sql-vacuum.html. In order to reclaim the disk space VACUUM commands with ANALYZE parameter (for statistics refreshing) needs to be executed:
VACUUM ANALYZE attribute_kv;
And if reclaiming space is critical, the parameter FULL should be added (please note that it requires as much free disk space as the table currently takes up):
VACUUM FULL ANALYZE attribute_kv;
In order to find the list of telemetry tables to be VACUUM’ed, the following command needs to be executed:
SELECT table_name FROM information_schema.tables WHERE table_schema = 'public' AND table_name like 'ts_kv%' ORDER BY table_name;
Then the resulting list of tables is put in the VACUUM ANALYZE command:
In this example the command looks like this:
VACUUM FULL ANALYZE ts_kv, ts_kv_2004_01, ts_kv_2020_08, ts_kv_2020_09, ts_kv_dictionary, ts_kv_indefinite, ts_kv_latest;
Please be aware that:
1.You need to put the list of tables from the output of the previous SELECT query, not just copy the previous VACUUM command.
2.Tables are not available when you perform a VACUUM command (all incoming read and write queries are put in a queue), so the best solution would be to perform it in the (at least relative) downtime.
I would love this command for Cassandra Database! Really useful.
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ReplyDeleteIn ThingsBoard, when an entity (e.g. device, asset, customer, etc.) is deleted, all of its related data is marked as deleted but not immediately removed from the database. This is because there might still be references to this data from other parts of the system or from backups.
To delete the time series data of a deleted entity, you can follow these steps:
Find the ID of the deleted entity. You can do this by going to the "Deleted Entities" section in the ThingsBoard UI and searching for the entity by name or ID.
Once you have the ID of the deleted entity, you can use the ThingsBoard REST API to delete its time series data. Here is an example curl command:
rust
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curl -X DELETE 'http://localhost:8080/api/plugins/telemetry/DELETED_ENTITY_TYPE/DELETED_ENTITY_ID/timeseries/delete?deleteAllData=true' \
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-H 'X-Authorization: Bearer YOUR_AUTH_TOKEN'
Replace DELETED_ENTITY_TYPE and DELETED_ENTITY_ID with the type and ID of the deleted entity, respectively. Replace YOUR_AUTH_TOKEN with a valid ThingsBoard JWT token.
The deleteAllData=true parameter is optional and specifies that all data should be deleted, including the data that was marked as deleted but not yet removed.
After running the curl command, the time series data of the deleted entity should be deleted from the database. You can verify this by checking the "Data Explorer" section in the ThingsBoard UI.
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I couldn't discover anything in the official documentation on whether or not the telemetry and properties are destroyed after the device is deleted. However, when I examine the database after uninstalling the device, connections the destroyed device's telemetry and characteristics are still intact and have not been deleted.
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ReplyDelete"Deleting timeseries of deleted ThingsBoard entities" likely discusses the importance and process of managing and cleaning up timeseries data associated with removed or deleted entities in the ThingsBoard platform, optimizing data storage and maintenance.
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In ThingsBoard, managing time series data for deleted entities involves ensuring that historical data associated with those entities is also removed to maintain data integrity and optimize storage. Here are the general steps to delete time series data for deleted ThingsBoard entities.
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It is a well-written and informative piece that covers a complex and important topic. The author, Anton Antonyuk, a ThingsBoard contributor, does a great job of explaining the different ways to delete timeseries of deleted ThingsBoard entities and the implications of each method.
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The "Deleting Timeseries of Deleted" tool is a powerful tool for managing timeseries data efficiently. Its user-friendly interface makes it easy for users with limited technical expertise to delete data. The tool's efficiency is impressive, as it works quickly and accurately, removing deleted data without any remnants. Users can customize the deletion process to their specific needs, whether it's for compliance or data management. Error handling is also excellent, with clear error messages and suggested solutions. However, there is room for improvement in data recovery options and a recycle bin feature. The documentation provided is comprehensive and user-friendly, and the customer support team is knowledgeable and responsive. The tool is compatible with various timeseries databases and platforms, catering to a wide range of users with diverse data storage needs. Data security is a priority, and the tool prioritizes this. More detailed information about security measures would be beneficial. The pricing for this tool is reasonable, making it a cost-effective solution for businesses of all sizes.Abogado FLSA
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In ThingsBoard, deleting a timeseries of deleted entities typically involves removing historical data associated with entities that have been deleted from the platform. This can help maintain data integrity and reduce storage usage.
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It seems like you want a review or assistance with four lines of code related to deleting time series data of deleted entities in ThingsBoard. However, you haven't provided the actual code. Please share the relevant lines of code, and I'll be happy to review and provide assistance or feedback.
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To delete the time series data of deleted ThingsBoard entities, you will need to access the database where ThingsBoard stores this information. Before proceeding, make sure to back up your database to prevent data loss in case of errors during the deletion process. Identify the specific tables or data storage structures in the database that contain the time series data. This data is typically organized by entity ID or another unique identifier.
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Access the data you want to delete by querying the database or system. Verify that the data is the correct data and that it should be removed according to your data management policies. Use the appropriate delete command in your database or system to remove the time series data. Double-check the data's removal by executing the delete command and confirming it. If the data is critical and needs to be preserved for compliance or historical reasons, back it up before deleting it. Log the deletion event, including a timestamp, the user responsible for the deletion, and the reason for deletion. Notify relevant stakeholders if necessary, depending on your organization's policies. Ensure the deleted data is securely removed and cannot be easily recovered, possibly through overwriting or adhering to data retention and privacy regulations. The specific steps and commands can vary depending on the database or system you are using. Be cautious when deleting data, especially time series data, as it may be valuable for historical analysis or auditing purposes. Always have appropriate backups and consider the potential implications of data deletion before proceeding.Abogado de Lesiones Personales Virginia
ReplyDeletetruck accident injury lawyer The article provides essential information and queries for managing data in ThingsBoard, especially when dealing with the removal of timeseries and attributes of deleted entities. It explains the importance of these queries to prevent performance degradation and disk space issues. SQL commands are well-documented for identifying and deleting unnecessary data, and VACUUM commands for PostgreSQL databases are helpful for physically removing deleted rows. The article also shares a command for finding telemetry tables that need VACUUMing and clarifies that tables may not be available during this process, suggesting performing it during downtime. Further context on efficient data management and potential risks or considerations when using VACUUM FULL ANALYZE would be beneficial.
ReplyDeletetruck accident injury lawyer The message addresses a technical issue with ThingsBoard version 2.5.4/3.1.1, which automatically deletes telemetry and attributes when entities are deleted. It provides a solution by offering specific queries for the PostgreSQL database to manually delete these attributes. The message is clear and informative, but could be improved by providing context or background information about the issue. Overall, it is helpful for users using ThingsBoard.
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ReplyDeleteAddressing performance and disk space concerns in ThingsBoard, the blog provides PostgreSQL queries to delete telemetry and attributes of previously removed entities. Emphasizing the importance of VACUUM commands for space reclamation, it guides users on executing these commands and offers essential considerations for an optimal database maintenance process.
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