============= Removing Data ============= Rule Expiration =============== The cleanest way to manage data removal is to use the replication rules. There are two options: #. Delete the rule: there is a grace period (of some hours) before the removal of the rule and the data it managees is effected. #. Update the lifetime of the rule to -1. Changes are effected at the next round of reaper operations - usually in minutes or less. Updating the lifetime of a rule:: $ rucio update-rule 49a17f8b2b1d4aed81d4d9bab3459034 --lifetime -1 Updated Rule .. highlight:: bash Check the :code:`judge-evaluator` log:: 2019-08-15 08:18:38,420 21979 INFO rule_cleaner[0/0]: Deleting rule 49a17f8b2b1d4aed81d4d9bab3459034 with expression UNL 2019-08-15 08:18:38,433 21979 DEBUG Deleting lock ER8:H-H1_HOFT_C00-1123872768-4096.gwf for rule 49a17f8b2b1d4aed81d4d9bab3459034 Similarly, expect messages like the following in the :code:`reaper` log:: 2019-08-15 08:34:36,648 5365 INFO Reaper 2-1: Deletion SUCCESS of postO2:H-H1_HOFT_C00-1232400384-4096.gwf as gsiftp://red-gridftp.unl.edu:2811/user/ligo/rucio/evaluation/postO2/hoft/H1/H-H1_HOFT_C00-12324/H-H1_HOFT_C00-1232400384-4096.gwf on UNL in 3.13224601746 seconds Erasing DIDs ============ Manually ======== The nuclear option is to go into the database and eliminate all trace of DIDs manually and, if necessary, delete from disk. .. highlight:: bash First, log into the SQL server and enter :code:`mysql`:: $ kubectl exec -it $(kubectl get pods --namespace ligo-rucio -l "app=mysql" -o jsonpath="{.items[0].metadata.name}") -- /bin/bash bash-4.2# mysql -u rucio -p Delete All DIDs ---------------------------------- .. highlight:: sql Suppose something has gone awry in file registration / upload in some testing instance: you may want to start from scratch without having to rebuild the entire database. Switch to the :code:`rucio` db and delete all DIDs and associated tables:: mysql> use rucio; Database changed mysql> delete from replicas; Query OK, 5 rows affected (0.26 sec) mysql> delete from collection_replicas; Query OK, 1 row affected (0.09 sec) mysql> delete from contents; Query OK, 5 rows affected (0.07 sec) mysql> delete from dids; Query OK, 6 rows affected (0.07 sec)