home / feb-2025

snapshot_comments

4 rows where snapshot_pk = 38

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: mobile_number, status_text, posted_by, remarks, comment_timestamp (date)

comment_pk ▼ snapshot_pk ordinal complaint_id mobile_number comment_timestamp status_text posted_by remarks raw_comment_json
50 38 38 1 102255097123 - 2025-04-27T05:25:34Z - Call Centre Satisfied {"id": "102255097123", "mobile_number": "-", "posted_by": "Call Centre", "remarks": "Satisfied", "status": "-", "time_stamp": "27-APR-2025 10:55:34"}
51 38 38 2 102255097123 7207923077 2025-04-17T01:54:18Z Attended By Officer G.Kavitha I/C resolve {"id": "102255097123", "mobile_number": "7207923077", "posted_by": "G.Kavitha I/C", "remarks": "resolve", "status": "Attended By Officer", "time_stamp": "17-APR-2025 07:24:18"}
52 38 38 3 102255097123 7207923077 2025-04-17T01:53:56Z Attended By Officer G.Kavitha I/C resolve {"id": "102255097123", "mobile_number": "7207923077", "posted_by": "G.Kavitha I/C", "remarks": "resolve", "status": "Attended By Officer", "time_stamp": "17-APR-2025 07:23:56"}
53 38 38 4 102255097123 9154768771 2025-02-21T02:33:07Z Open S.Kiranmayee other {"id": "102255097123", "mobile_number": "9154768771", "posted_by": "S.Kiranmayee", "remarks": "other", "status": "Open", "time_stamp": "21-FEB-2025 08:03:07"}

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 16.586ms