migrate mongodb table by specefic columns only to mysql using aws dms - mysql

Question

I have a schema named reports in mongo and a collection named totals.
The keys in it looks like:
{ "_id" : { "dt" : "2018-12-02", "dt2" : "2018-04-08", "num" : 1312312312 }, "str" : 1 }
I would like to use DMS to migrate this collection into mysql instance on aws. The table should look like:
create table tab(
dt date,
dt2 date,
num bigint)
Currently, I'm using dms with simple rule:
{
"rules": [
{
"rule-type": "transformation",
"rule-id": "1",
"rule-name": "1",
"rule-target": "table",
"object-locator": {
"schema-name": "reports",
"table-name": "totals"
},
"rule-action": "rename",
"value": "tab",
"old-value": null
},
{
"rule-type": "selection",
"rule-id": "2",
"rule-name": "2",
"object-locator": {
"schema-name": "reports",
"table-name": "totals"
},
"rule-action": "include",
"filters": []
}
]
}
The result is not what I wanted:
MySQL [stats]> desc tab;
+-------+----------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-------+----------+------+-----+---------+-------+
| _doc | longtext | YES | | NULL | |
+-------+----------+------+-----+---------+-------+
MySQL [(none)]> select * from tab limit 1;
+------------------------------------------------------------------------------------------+
| _doc |
+------------------------------------------------------------------------------------------+
| { "_id" : { "dt" : "2018-12-02", "dt2" : "2018-04-08", "num" : 1312312312 }, "str" : 1 } |
+------------------------------------------------------------------------------------------+
1 row in set (0.00 sec)

Answer 1

Endpoint needed to have nestingLevel=ONE; instead of nestingLevel=NONE;.
Basically it means look at the data as a table instead of a document.