home / feb-2025

snapshot_comments

3 rows where snapshot_pk = 41

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: mobile_number, posted_by, comment_timestamp (date)

comment_pk ▼ snapshot_pk ordinal complaint_id mobile_number comment_timestamp status_text posted_by remarks raw_comment_json
56 41 41 1 102255097126 7207923101 2025-02-02T00:03:47Z Attended By Officer Dr.YADAGIRI attended {"id": "102255097126", "mobile_number": "7207923101", "posted_by": "Dr.YADAGIRI", "remarks": "attended", "status": "Attended By Officer", "time_stamp": "02-FEB-2025 05:33:47"}
57 41 41 2 102255097126 7207923101 2025-02-01T02:09:52Z Under Process Dr.YADAGIRI assigned to dead animal lifting contractor {"id": "102255097126", "mobile_number": "7207923101", "posted_by": "Dr.YADAGIRI", "remarks": "assigned to dead animal lifting contractor", "status": "Under Process", "time_stamp": "01-FEB-2025 07:39:52"}
58 41 41 3 102255097126 9702073700 2025-02-01T01:53:58Z Open Ajay To avoid further crushing and spoiling of the road, dead Rat moved to side of the road. it's already stinking a lot. Kindly do the needful. {"id": "102255097126", "mobile_number": "9702073700", "posted_by": "Ajay", "remarks": "To avoid further crushing and spoiling of the road, dead Rat moved to side of the road. it's already stinking a lot. Kindly do the needful.", "status": "Open", "time_stamp": "01-FEB-2025 07:23:58"}

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 12.215ms