issues: 472097220
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 472097220 | MDU6SXNzdWU0NzIwOTcyMjA= | 7 | Script uses a lot of RAM | 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 `elem.clear()` as I go. It also says: > The above pattern has one drawback; it does not clear the root element, so you will end up with a single element with lots of empty child elements. If your files are huge, rather than just large, this might be a problem. To work around this, you need to get your hands on the root element. So I will try that recipe and see if it helps. | 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} | completed |