Open jacobmpeters opened 8 months ago
@jacobmpeters It will work for me. Also, we might clean up some nested variables which were historically passed down to the FlatConnect, too.
@jeannewu will investigate items one and two.
@jacobmpeters all the variables related to "provided", "integer" and "string" are in both biospecimen table and participants table (shown below): | table_name | column_name | last.CID |
---|---|---|---|
1 | biospecimen_JP | d_646899796_integer | 6.47E+08 |
2 | biospecimen_JP | d_646899796_provided | 6.47E+08 |
3 | biospecimen_JP | d_646899796_string | 6.47E+08 |
4 | biospecimen_JP | d_928693120_integer | 9.29E+08 |
5 | biospecimen_JP | d_928693120_provided | 9.29E+08 |
6 | biospecimen_JP | d_928693120_string | 9.29E+08 |
7 | participants_JP | state_d_821247024_integer | 8.21E+08 |
8 | participants_JP | state_d_821247024_provided | 8.21E+08 |
9 | participants_JP | state_d_821247024_string | 8.21E+08 |
10 | participants_JP | state_studyId_integer | integer |
11 | participants_JP | state_studyId_provided | provided |
12 | participants_JP | state_studyId_string | string |
There are many columns in the tables that have "CID.string", "CID.integer" and "CID.provided" fields. This occurs when the value for CID has both string and integer data types in Firestore.
We need to: