home / jul-2025

snapshot_comments

2 rows where snapshot_pk = 38

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: comment_timestamp (date)

comment_pk ▼ snapshot_pk ordinal complaint_id mobile_number comment_timestamp status_text posted_by remarks raw_comment_json
73 38 38 1 107255337692 8008060477 2025-07-09T12:24:02Z Attended By Officer N.Uday Kiran my team will contact shortly to rectify mosquito means problem {"id": "107255337692", "mobile_number": "8008060477", "posted_by": "N.Uday Kiran", "remarks": "my team will contact shortly to rectify mosquito means problem", "status": "Attended By Officer", "time_stamp": "09-JUL-2025 17:54:02"}
74 38 38 2 107255337692 7993360295 2025-07-01T11:32:25Z Open M.Satish Kumar circle 11 {"id": "107255337692", "mobile_number": "7993360295", "posted_by": "M.Satish Kumar", "remarks": "circle 11", "status": "Open", "time_stamp": "01-JUL-2025 17:02:25"}

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE snapshot_comments (
    comment_pk INTEGER PRIMARY KEY,
    snapshot_pk INTEGER NOT NULL REFERENCES complaint_snapshots(snapshot_pk) ON DELETE CASCADE,
    ordinal INTEGER NOT NULL,
    complaint_id TEXT NOT NULL,
    mobile_number TEXT NOT NULL,
    comment_timestamp TEXT NOT NULL,
    status_text TEXT NOT NULL,
    posted_by TEXT NOT NULL,
    remarks TEXT NOT NULL,
    raw_comment_json TEXT NOT NULL,
    UNIQUE(snapshot_pk, ordinal)
);
Powered by Datasette · Queries took 10.825ms