{"action":"closed","issue":{"url":"https://api.github.com/repos/data-forge/data-forge-ts/issues/9","repository_url":"https://api.github.com/repos/data-forge/data-forge-ts","labels_url":"https://api.github.com/repos/data-forge/data-forge-ts/issues/9/labels{/name}","comments_url":"https://api.github.com/repos/data-forge/data-forge-ts/issues/9/comments","events_url":"https://api.github.com/repos/data-forge/data-forge-ts/issues/9/events","html_url":"https://github.com/data-forge/data-forge-ts/issues/9","id":333967447,"node_id":"MDU6SXNzdWUzMzM5Njc0NDc=","number":9,"title":"Streaming on rows as they are parsed","user":{"login":"vallettea","id":371303,"node_id":"MDQ6VXNlcjM3MTMwMw==","avatar_url":"https://avatars2.githubusercontent.com/u/371303?v=4","gravatar_id":"","url":"https://api.github.com/users/vallettea","html_url":"https://github.com/vallettea","followers_url":"https://api.github.com/users/vallettea/followers","following_url":"https://api.github.com/users/vallettea/following{/other_user}","gists_url":"https://api.github.com/users/vallettea/gists{/gist_id}","starred_url":"https://api.github.com/users/vallettea/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vallettea/subscriptions","organizations_url":"https://api.github.com/users/vallettea/orgs","repos_url":"https://api.github.com/users/vallettea/repos","events_url":"https://api.github.com/users/vallettea/events{/privacy}","received_events_url":"https://api.github.com/users/vallettea/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-06-20T08:08:16Z","updated_at":"2018-06-20T10:29:23Z","closed_at":"2018-06-20T10:29:22Z","author_association":"NONE","body":"Hello, \r\n\r\nthanks for this awesome project that hopefully will help me to dump python.\r\n\r\nI'm using it to read a csv file, cleaning the data and inserting into postgres.\r\nTo deal with huge csv file, I'd like to pipe the rows as they are parsed into postgres without having to keep the full dataframe into memory. \r\nHow would you do that ? Using through ?\r\nThanks"}}
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