This PR reduces the time required to load the "Movie Collection" dataset for local as well as remote DBs.
Technical details
Problem: We previously relied on a single SQL dump of Movie Collection schema to load the entire dataset into the DB. This was fine when the DB was present along with the django service but was really slow in the case of a remote DB which ultimately resulted in server timeout with a 502 response.
Solution: This PR solves the aforementioned problem by breaking the large SQL dump into parts and extracting all the data to be loaded in multiple .csv.
movie_collection_tables.sql: Contains SQL queries for setting up tables for the dataset.
movies_csv/: Contains all the data required to be loaded into the tables in separate .csvs.
movie_collection_fks.sql: Contains SQL queries for setting up PKs and FKs on the tables.
We first execute movie_collection_tables.sql then we load all the data in the tables using SQL COPY instead of INSERT and then finally we execute movie_collection_fks.sql to setup PKs and FKs.
Performance (GCP):
DB
Before
After
Improvement
Local
25s
9s
64%
Remote
186s ~(3.1mins)
12s
93.5%
Checklist
- [x] My pull request has a descriptive title (not a vague title like `Update
index.md`).
- [x] My pull request targets the `develop` branch of the repository
- [x] My commit messages follow [best practices][best_practices].
- [x] My code follows the established code style of the repository.
- [ ] I added tests for the changes I made (if applicable).
- [ ] I added or updated documentation (if applicable).
- [x] I tried running the project locally and verified that there are no
visible errors.
[best_practices]:https://gist.github.com/robertpainsi/b632364184e70900af4ab688decf6f53
## Developer Certificate of Origin
Developer Certificate of Origin
```
Developer Certificate of Origin
Version 1.1
Copyright (C) 2004, 2006 The Linux Foundation and its contributors.
1 Letterman Drive
Suite D4700
San Francisco, CA, 94129
Everyone is permitted to copy and distribute verbatim copies of this
license document, but changing it is not allowed.
Developer's Certificate of Origin 1.1
By making a contribution to this project, I certify that:
(a) The contribution was created in whole or in part by me and I
have the right to submit it under the open source license
indicated in the file; or
(b) The contribution is based upon previous work that, to the best
of my knowledge, is covered under an appropriate open source
license and I have the right under that license to submit that
work with modifications, whether created in whole or in part
by me, under the same open source license (unless I am
permitted to submit under a different license), as indicated
in the file; or
(c) The contribution was provided directly to me by some other
person who certified (a), (b) or (c) and I have not modified
it.
(d) I understand and agree that this project and the contribution
are public and that a record of the contribution (including all
personal information I submit with it, including my sign-off) is
maintained indefinitely and may be redistributed consistent with
this project or the open source license(s) involved.
```
Fixes #3423
This PR reduces the time required to load the "Movie Collection" dataset for local as well as remote DBs.
Technical details
Problem: We previously relied on a single SQL dump of Movie Collection schema to load the entire dataset into the DB. This was fine when the DB was present along with the django service but was really slow in the case of a remote DB which ultimately resulted in server timeout with a 502 response.
Solution: This PR solves the aforementioned problem by breaking the large SQL dump into parts and extracting all the data to be loaded in multiple
.csv
.movie_collection_tables.sql
: Contains SQL queries for setting up tables for the dataset.movies_csv/
: Contains all the data required to be loaded into the tables in separate .csvs.movie_collection_fks.sql
: Contains SQL queries for setting up PKs and FKs on the tables.We first execute
movie_collection_tables.sql
then we load all the data in the tables using SQLCOPY
instead ofINSERT
and then finally we executemovie_collection_fks.sql
to setup PKs and FKs.Checklist
- [x] My pull request has a descriptive title (not a vague title like `Update index.md`). - [x] My pull request targets the `develop` branch of the repository - [x] My commit messages follow [best practices][best_practices]. - [x] My code follows the established code style of the repository. - [ ] I added tests for the changes I made (if applicable). - [ ] I added or updated documentation (if applicable). - [x] I tried running the project locally and verified that there are no visible errors. [best_practices]:https://gist.github.com/robertpainsi/b632364184e70900af4ab688decf6f53 ## Developer Certificate of OriginDeveloper Certificate of Origin
``` Developer Certificate of Origin Version 1.1 Copyright (C) 2004, 2006 The Linux Foundation and its contributors. 1 Letterman Drive Suite D4700 San Francisco, CA, 94129 Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. Developer's Certificate of Origin 1.1 By making a contribution to this project, I certify that: (a) The contribution was created in whole or in part by me and I have the right to submit it under the open source license indicated in the file; or (b) The contribution is based upon previous work that, to the best of my knowledge, is covered under an appropriate open source license and I have the right under that license to submit that work with modifications, whether created in whole or in part by me, under the same open source license (unless I am permitted to submit under a different license), as indicated in the file; or (c) The contribution was provided directly to me by some other person who certified (a), (b) or (c) and I have not modified it. (d) I understand and agree that this project and the contribution are public and that a record of the contribution (including all personal information I submit with it, including my sign-off) is maintained indefinitely and may be redistributed consistent with this project or the open source license(s) involved. ```