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The Macro That Runs 40,000 Times

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The Macro That Runs 40,000 Times

A batch macro is used to call a REST API once per region_id, then parse and union the JSON responses. There are 40,000 regions. The macro currently contains the Download tool, a JSON Parse, a Select, and an Output Data tool that writes a per-region CSV. A full run takes 6 hours and occasionally fails partway, forcing a restart from scratch. The team wants incremental behavior: skip regions already written, and cut runtime. They also noticed the macro rewrites the same schema 40,000 times and that the Output tool inside the macro is a bottleneck.

1. Identify the performance and reliability anti-patterns in this macro design.

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Several anti-patterns compound:

  • Output inside the macro, per iteration. Writing 40,000 small CSVs means 40,000 file opens, 40,000 schema writes, and no atomicity. This is the biggest bottleneck and the reason a crash loses everything.
  • No checkpointing / idempotency. A restart re-does all 40,000 calls because there's no record of what succeeded.
  • No batching of the API calls. One region per call maximizes latency; if the API supports multi-region queries, batching cuts round-trips dramatically.
  • JSON Parse on every iteration re-parses and re-derives schema; schema churn 40,000 times is expensive.
  • No error routing. A single failing region can abort the batch; there's no E/error path to log and continue.

2. Redesign the macro and its driver to be resumable and faster, keeping the per-region detail.

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Move output out of the macro and make the run idempotent:

  1. Driver query first: read the list of region_id from a source of truth (or a "done" log) and anti-join (Join on region_id, keep Left-unjoined) against the set of already-completed regions. Only unprocessed regions enter the batch.
  2. Batch macro (no Output tool inside): Download โ†’ JSON Parse โ†’ Select, emitting parsed rows on the output anchor. Keep the macro pure (transform only).
  3. Single Output after the macro: write one consolidated file (or partitioned output) once per run, not once per region. If per-region files are mandatory, write with a stable filename pattern and append a completion log row per region after the write succeeds.
  4. Error handling: route API failures to an error log with region_id and status; do not abort the whole batch. Retry transient failures with a bounded retry.
  5. Resumability: the completion log is the checkpoint. On restart, the anti-join skips completed regions automatically.
  6. Batch API calls where the endpoint allows multiple regions per request to cut round-trips.

This turns a 6-hour all-or-nothing run into an incremental, restartable one where progress is durable.