4M limetray.com user data. email,name,phone
by datahub - May 01, 2021 at 01:28 PM
#1
Offloading some dumps. This first hand data.


Sample:


CREATE TABLE limetray.users (
    brand_user_id text PRIMARY KEY,
    brand_id text,
    created_at bigint,
    email text,
    first_failed_order_time bigint,
    first_non_void_order_time bigint,
    first_order_time bigint,
    first_void_order_time bigint,
    full_name text,
    last_interaction_time bigint,
    loss double,
    mobile text,
    revenue double,
    source_id int,
    source_name text,
    total_discount double,
    total_failed_orders int,
    total_loyalty_amount double,
    total_non_void_orders int,
    total_orders int,
    total_preorders int,
    total_void_orders int
)


INSERT INTO "limetray"."users" ("brand_user_id", "brand_id", "created_at", "email", "first_non_void_order_time", "first_order_time", "first_void_order_time", "full_name", "last_interaction_time", "loss", "mobile", "revenue", "source_id", "source_name", "total_discount", "total_failed_orders", "total_loyalty_amount", "total_non_void_orders", "total_orders", "total_preorders", "total_void_orders") VALUES ('19293803', '5287', 1515927857, '[email protected]', 1515927645000, 1515927645000, 0, 'Ronan Pooh', 1515927645000, 0.0, '8383045737', 401.52, 0, 'Admin', 95.6, 0, 0.0, 1, 1, 0, 0);
INSERT INTO "limetray"."users" ("brand_user_id", "brand_id", "created_at", "email", "first_non_void_order_time", "first_order_time", "first_void_order_time", "full_name", "last_interaction_time", "loss", "mobile", "revenue", "source_id", "source_name", "total_discount", "total_failed_orders", "total_loyalty_amount", "total_non_void_orders", "total_orders", "total_preorders", "total_void_orders") VALUES ('20014474', '5235', 1518453734, '[email protected]', 1518449299000, 1518449299000, 0, 'Prathmesh Thakur', 1518449299000, 0.0, '9920805720', 542.48, 0, 'Admin', 82.35, 0, 0.0, 1, 1, 0, 0);
INSERT INTO "limetray"."users" ("brand_user_id", "brand_id", "created_at", "first_order_time", "full_name", "last_interaction_time", "loss", "mobile", "revenue", "source_id", "source_name", "total_discount", "total_failed_orders", "total_loyalty_amount", "total_non_void_orders", "total_orders", "total_preorders", "total_void_orders") VALUES ('10383645', '3786', 1505812065, 1477222194000, 'sakshi  ', 1477222194000, 0.0, '9920099249', 0.0, 0, 'Admin', 0.0, 0, 0.0, 0, 1, 0, 0);
INSERT INTO "limetray"."users" ("brand_user_id", "brand_id", "created_at", "first_order_time", "full_name", "last_interaction_time", "loss", "mobile", "revenue", "source_id", "source_name", "total_discount", "total_failed_orders", "total_loyalty_amount", "total_non_void_orders", "total_orders", "total_preorders", "total_void_orders") VALUES ('13108577', '3789', 1505829216, 1489710045000, 'kanwar  ', 1489710045000, 0.0, '8146101994', 0.0, 0, 'Admin', 0.0, 0, 0.0, 0, 1, 0, 0);
INSERT INTO "limetray"."users" ("brand_user_id", "brand_id", "created_at", "email", "first_non_void_order_time", "first_order_time", "first_void_order_time", "full_name", "last_interaction_time", "loss", "mobile", "revenue", "source_id", "source_name", "total_discount", "total_failed_orders", "total_loyalty_amount", "total_non_void_orders", "total_orders", "total_preorders", "total_void_orders") VALUES ('15993150', '1138', 1505831605, '[email protected]', 1504788799000, 1504788799000, 0, 'Arjun Tandon', 1505051717000, 0.0, '9920567744', 5614.529999999999, 0, 'Admin', 536.0, 0, 0.0, 9, 9, 0, 0);
INSERT INTO "limetray"."users" ("brand_user_id", "brand_id", "created_at", "email", "first_order_time", "first_void_order_time", "full_name", "last_interaction_time", "loss", "mobile", "revenue", "source_id", "source_name", "total_discount", "total_failed_orders", "total_loyalty_amount", "total_non_void_orders", "total_orders", "total_preorders", "total_void_orders") VALUES ('19145832', '4843', 1515338633, '[email protected]', 1515338577000, 1515338577000, 'Sid J', 1515338577000, 443.7, '9769184466', 0.0, 0, 'Admin', 0.0, 0, 0.0, 0, 1, 0, 1);
INSERT INTO "limetray"."users" ("brand_user_id", "brand_id", "created_at", "email", "first_order_time", "full_name", "last_interaction_time", "loss", "mobile", "revenue", "source_id", "source_name", "total_discount", "total_failed_orders", "total_loyalty_amount", "total_non_void_orders", "total_orders", "total_preorders", "total_void_orders") VALUES ('17773879', '3258', 1510470867, '[email protected]', 1510470424000, 'Pradeep Banavara', 1510470424000, 0.0, '8095978063', 611.24, 0, 'Admin', 81.0, 0, 0.0, 1, 1, 0, 0);



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#2
4 Million, around 4067000 rows.
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#3
ohhhh nice ...!!!!! !! 1 !!1 we
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#4
can‘t download
pls upload again’
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#5
Link down. reuploading soon.
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#6
Awesome thanks for watching and getting this reuploaded
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#7
This thread has a bad link, please reply to the message you were sent so I can replace the current link and reinstate your thread.
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#8
The link on this thread has been updated as I post this, if you find that the link is down again please report the thread using the report feature.
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