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Wednesday, September 16, 2020

Deleting timeseries of deleted ThingsBoard entities

    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.



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    In 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:

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    curl -X DELETE 'http://localhost:8080/api/plugins/telemetry/DELETED_ENTITY_TYPE/DELETED_ENTITY_ID/timeseries/delete?deleteAllData=true' \
    -H 'Accept: application/json' \
    -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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  36. 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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  37. 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

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  38. truck 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.

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  39. truck 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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  45. Addressing 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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  52. The question is unclear regarding the deletion or handling of time series data. The approach depends on the programming language or tool used. For instance, in Python with pandas, the `drop` method can be used to remove specific rows based on a condition. If you have a specific scenario or code snippet you need assistance with, please provide more details and I will do my best to help.garbage truck accident

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  54. When managing a timeseries within the ThingsBoard platform, the process of deleting entities can be critical for data management and system efficiency. Deleting ThingsBoard entities, such as devices or assets, often necessitates the removal of associated timeseries data to maintain data integrity and prevent clutter. This operation ensures that the historical records tied to these deleted entities are systematically purged, preventing obsolete or irrelevant data from affecting analytics and storage efficiency.
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  56. The text provides a detailed set of SQL commands for handling data deletions and reclaiming disk space in ThingsBoard and PostgreSQL. The steps involve removing telemetry and attribute data associated with deleted entities from the ts_kv table and attribute_kv table, and using VACUUM commands to reclaim disk space. For critical space reclamation, VACUUM FULL ANALYZE should be used. The review comments emphasize the importance of maintaining the maintenance window during downtime or low-usage window, ensuring VACUUM command accuracy, and cautioning about the FULL option in VACUUM, which requires substantial free disk space and may cause additional load during execution. Post-operation checks are recommended to ensure expected disk space reclamation and system performance improvements. The text also recommends data integrity and backup, scheduled maintenance, monitoring and alerts, documentation and reporting, testing and validation, and clear communication among teams involved to coordinate maintenance tasks effectively and minimize disruptions. abogado de flsa

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  58. To delete time series data associated with deleted ThingsBoard entities, you can follow these steps using the ThingsBoard REST API. Here's a simple example using Python and the requests library. Online attorneys

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  72. To delete time series data associated with deleted entities in ThingsBoard, you can follow these steps:

    Identify Deleted Entities:
    First, identify the entities that have been deleted from ThingsBoard. This could include devices, assets, or other entities.

    Access Time Series Data:
    Access the time series data storage in ThingsBoard. This may involve connecting to the database or using ThingsBoard APIs to retrieve historical data.

    Query and Delete Time Series Data:
    Run queries to identify and delete the time series data associated with the deleted entities. The specific steps will depend on the database or API you are using. For example, if using SQL, you might write a query to delete records where the entity ID matches the IDs of the deleted entities.
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  164. Very useful information shared in this article. Deleting timeseries of deleted Things Board entities refers to the process of removing time-series data associated with entities that have been deleted from the Things Board platform. Things Board is an open-source IoT platform that manages devices and their data, and this action ensures that no residual data remains for entities that are no longer active. This helps maintain data integrity and optimize storage within the system.
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  165. "Deleting Timeseries of Deleted ThingsBoard Entities" provides an essential guide for users navigating the complexities of data management within the ThingsBoard platform. This article effectively breaks down the process of removing timeseries data associated with deleted entities, making it accessible even for those who may not be well-versed in technical details. The step-by-step instructions are clear and concise, helping users avoid common pitfalls while ensuring their data management practices align with best practices.
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  166. The title "Deleting timeseries of deleted ThingsBoard entities" suggests a focused approach to data management in ThingsBoard, emphasizing the importance of maintaining clean and relevant datasets. Efficiently removing timeseries associated with deleted entities can enhance system performance and ensure accurate data analysis, ultimately leading to more effective decision-making processes.

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  169. This guide on deleting timeseries of deleted data is incredibly helpful! It clearly explains the steps and considerations involved, making it easy to understand for anyone managing time-series databases. The tips on maintaining data integrity while ensuring efficient storage are particularly valuable. Thanks for sharing such useful insights—definitely a must-read for data professionals!

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  170. "Deleting timeseries of deleted" likely refers to the process of removing time series data that has already been marked for deletion from a database or data storage system. This action is important for maintaining data integrity and optimizing storage by ensuring that obsolete or unnecessary data does not linger, potentially causing confusion or inaccuracies in data analysis. It usually involves executing a data purge operation to permanently erase the designated time series entries, ensuring they no longer occupy space or resources in the system. This practice is crucial in data management and analytics to keep datasets clean and efficient.
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  175. In ThingsBoard versions v.2.5.4/3.1.1, telemetry and attribute data associated with deleted entities are not automatically purged, causing performance degradation and excessive disk space usage. To delete these data, use a PostgreSQL query template, identify deleted entities, delete telemetry and attribute data, and automate the cleanup process. Indian Immigration attorney Near Me Lawyers play a vital role in upholding the justice system, representing and advising clients, interpreting laws, and ensuring that legal procedures are correctly followed.

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  176. Find and remove the related timeseries data for every deleted entity in ThingsBoard to clear up the data for such entities. This keeps orphaned data from building up and keeps the system functioning efficiently. If possible, automating this procedure guarantees that the database will continue to be optimized over time.manassas criminal lawyer For anyone facing criminal accusations in the Manassas region, a Manassas criminal lawyer offers defense and legal assistance. They represent clients in court and strive for just results in a variety of matters, including misdemeanors, felonies, DUIs, and other violations. They strive to defend their clients' rights and look for the best settlement through negotiation or the legal system, using their local knowledge and experience.

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  179. In order to preserve database efficiency and prevent superfluous data storage, time series data for deleted ThingsBoard entities should be erased. You may keep the system clutter-free and effective by clearing out unwanted or orphaned time series. Especially in large-scale installations, this procedure is essential to maintaining ThingsBoard's data management efficiency.reckless driving lawyer arlington va Virginia views reckless driving as a criminal offense, therefore it's imperative that you speak with an expert attorney if you're facing reckless driving charges in Arlington, Virginia. A knowledgeable lawyer can evaluate your case, refute the facts, and bargain for fewer charges or a better result. Having legal counsel can lessen the long-term effects of a conviction, protect your driving record, and decrease penalties.

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