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Milestone | Functional Goals | ||||||
|---|---|---|---|---|---|---|---|
0.1
| Compliant Discovery API, Descriptor API, and Resource API definition (except GET by query): able to run bulk upload, smoke test. Includes JSON validation based on API schema file. Fake OAuth (1). | ||||||
0.2
| Reference validation, Streaming, and Profiles: rejects POST, PUT, and DELETE requests that would violate referential integrity. Streaming data out. Build basic Profiles support (2). | ||||||
0.3
| GET by query and cascading updates: use search engine or relational DB to fulfill GET by query requests. Support cascading updates on allowed resources. | ||||||
0.4
| Namespace authorization: real OAuth; JWT inspection; duplicate ODS/API's namespace authorization. First release of the Configuration Service. | ||||||
0.5 | Data model flexibility and Concurrency: extensions, choosing between DS 4 and DS 5, swapping data standards at start up (not compile). Dynamic Discovery API definition, based on actual Data Standard/extensions. Full support for eTag-based concurrency. | ||||||
0.6 | Dynamic profiles and multitenancy: full-fledged support for XML-based dynamic profiles, and for ODS/API 7 style multi-tenant routing and database segmentation. | ||||||
0.7 tech congress? | Ed-org based authorization. (3) | ||||||
0.8 | Change queries. |
Meeting notes:
Swap “get by query” and “basic profiles” support between milestones 0.2 and 0.3.
Who can help?
JF: perhaps help with multinenancy / routing? Suggested to write up design notes first in this GitHub discussion.
Max: Lambda function as alternate front end interface. We can also look into other areas of interest in the roadmap.
Architecture
Database Design
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Grand Bend data set (“populated template”). Running in Docker containers on localhost.
System |
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Data Set | Timing | Row count | |
|---|---|---|---|
DMS | Descriptors only | 0:19.9 minutes | 3,201 in + 3,201 in |
ODS/API 7. |
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Isolation Leavel
Read Uncommited vs. Read Commited vs. Snapshot
1 | Descriptors only | 6:45.6 minutes | 3,201 in + 3,201 across all of the descriptor tables |
Isolation Level
Read Committed vs. Repeatable Read vs. Snapshot vs. Serialized
Ex: read before write when a delete fails because the deleted item is referenced by something else. Read committed could allow a change to the “something else”, making it impossible to report the problem with the delete. Repeatable read solves this, but can cause a transaction rollback for another “concurrent” (but second-in) transaction. We think this conflict is unlikely to occur frequently. If using read committed, would probably want to do more manual locking.
Meeting notes:
No specific concerns expressed. Give people time to digest and come back to this in the future.
Configurability will be important.
Search Database
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Project-Tanager/docs/DMS/CDC-STREAMING.md at main · Ed-Fi-Alliance-OSS/Project-Tanager (github.com)
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Reading straight from dms.document, no outbox event table → open to suggestions / design for an additional outbox table.
Meeting notes:
CDC from this single table may be all that we need for an “outbox” at this time.
Alternative
Additional query tables in PostgreSQL / MSSQL with painful indexing.
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