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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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472097220 | MDU6SXNzdWU0NzIwOTcyMjA= | 7 | Script uses a lot of RAM | simonw 9599 | closed | 0 | 3 | 2019-07-24T06:11:11Z | 2019-07-24T06:35:52Z | 2019-07-24T06:35:52Z | MEMBER | I'm using an XML pull parser which should avoid the need to slurp the whole XML file into memory, but it's not working - the script still uses over 1GB of RAM when it runs according to Activity Monitor. I think this is because I'm still causing the full root element to be incrementally loaded into memory just in case I try and access it later. http://effbot.org/elementtree/iterparse.htm says I should use
So I will try that recipe and see if it helps. |
healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/7/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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CREATE TABLE [issues] ( [id] INTEGER PRIMARY KEY, [node_id] TEXT, [number] INTEGER, [title] TEXT, [user] INTEGER REFERENCES [users]([id]), [state] TEXT, [locked] INTEGER, [assignee] INTEGER REFERENCES [users]([id]), [milestone] INTEGER REFERENCES [milestones]([id]), [comments] INTEGER, [created_at] TEXT, [updated_at] TEXT, [closed_at] TEXT, [author_association] TEXT, [pull_request] TEXT, [body] TEXT, [repo] INTEGER REFERENCES [repos]([id]), [type] TEXT , [active_lock_reason] TEXT, [performed_via_github_app] TEXT, [reactions] TEXT, [draft] INTEGER, [state_reason] TEXT); CREATE INDEX [idx_issues_repo] ON [issues] ([repo]); CREATE INDEX [idx_issues_milestone] ON [issues] ([milestone]); CREATE INDEX [idx_issues_assignee] ON [issues] ([assignee]); CREATE INDEX [idx_issues_user] ON [issues] ([user]);