Map package dependencies, calls, and data flow
Suggested learning time: 45 minutes.
- 1Manifest
- 2Declared package dependency
- 1Call site
- 2Function call
- 1RPC boundary
- 2Data sent outside the process
Original learning map: arrows show the reading or decision sequence, not a measured execution trace.
Prerequisite chapter
Trace one operation from end to end
Status of this chapter
This textbook was authored from reading sources. No actual repository builds, tests, debugging, API calls, or issue/PR posts were performed. Practical work below is an exercise to undertake; reading is not an execution result.
Learning objectives
- Map package dependencies, calls, and data flow
Keep different arrows distinct
If you use the same kind of arrow for dependencies declared in a manifest, function calls, and RPC or data flow, the overall diagram becomes unreadable. Start with no more than five nodes. Use solid lines for confirmed relationships and dotted lines for hypotheses. Also distinguish direct from transitive dependencies, and development dependencies from runtime dependencies.
Use black boxes deliberately
Even when a CLI uses an SDK, you do not need to read every API. Draw a boundary around only what the feature needs, and record the inputs and outputs of everything outside it. With Spark Connect and Databricks Connect, also preserve the boundary between the open-source foundation and additions for the commercial product.
Assess the scope of a change
A change to a public API affects its consumers. Adding a test can keep the scope relatively small, but does not guarantee that the contribution will be accepted. Before handling generated files, identify their source and the procedure for regenerating them.
Practical exercise: Practice separating three kinds of dependencies
- Choose no more than five nodes.
- Label arrows as import, call, RPC, or data flow.
- Save supporting evidence from the manifest and implementation.
- Describe what would be affected by a one-line change.
Deliverable: A dependency diagram and a note on the impact of a change
Understanding checks
Answer in your own words before reading the answers. The answers and explanations below are for self-review, not automatic scores or execution results.
Must you understand every dependency before making your first change?
Answer: You can start with a small area where you can explain the feature's contract, related tests, and external boundaries.
Your learning progress
Recording mode: manual.
- Not started
- Read
- Tried
- Can explain
Do not mark an exercise as practiced merely because you viewed it.
Material used in this chapter
Bundle implementation, databricks/databricks-sdk-go official repository, Apache Spark Connect, Databricks Connect
Return to repository entry points · Offline experiment worksheet
MENTAL MODEL / REASONING ORDER
From an announcement to your own decision.
Compare the announcement with the conditions in the paper and official documentation.
Sources
Publication dates belong to the source; access dates record when it was checked. Community observations are separate from official statements.