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Detector catalog / SQL plans
PLAN
Small files
A write produces many tiny files that slow every later read.
- Outcome
- SQL plans
- Scope
- Judged per SQL query
- Usual fix
- A Spark configuration change
- CI gate
- No budget flag: gate it with
--fail-on-introducedagainst a baseline
An example finding
Where you see it
Dashboard
The PLAN tag marks it in the action region of the dashboard, among the widgets that rank a fix. How to read it in the findings guide.
Agent (MCP)
An assistant can read this entry with the list_detectors tool and its background with get_finding_documentation. The call and the response below come from a real run of the MCP server.
Call
{
"tool": "list_detectors",
"arguments": {
"type": "smallFiles"
}
}Response
{
"count": 1,
"detectors": [
{
"type": "smallFiles",
"name": "small files",
"tag": "PLAN",
"tagSharedWith": [
"duplicatePlanSubtree",
"overBroadcast",
"underBroadcast",
"pythonUdf",
"nestedLoopJoin",
"mergeRewrite",
"unprunedScan",
"joinKeyCast"
],
"family": "plan",
"pitch": "A write produces many tiny files that slow every later read.",
"region": "action",
"scope": "sql",
"fixEffort": "config",
"thresholdSummary": "over 100 files averaging under 3 MiB",
"detectors": [
{
"detector": "smallFiles",
"version": 2,
"thresholds": {
"minFiles": 100,
"maxAvgFileSizeMB": 3
}
}
],
"pages": {
"catalog": "docs/detectors/smallFiles.html",
"guide": "docs/user-guide/understanding-findings.html#plan"
},
"tuning": {
"kind": "page",
"anchor": "#bottleneck-small-files",
"path": "docs/tuning-reference/bottleneck-small-files.html#bottleneck-small-files"
},
"gate": null
}
]
}get_finding_documentation call
{
"tool": "get_finding_documentation",
"arguments": {
"type": "smallFiles"
}
}Its response, with each Markdown body replaced by its length
{
"type": "smallFiles",
"name": "Small Files",
"detectionDoc": {
"tag": "PLAN",
"title": "Plan advisor",
"content": "<7876 characters of Markdown>"
},
"tuningDoc": {
"anchor": "#bottleneck-small-files",
"title": "Small Files",
"content": "<6064 characters of Markdown>"
}
}CI (CLI)
List this entry from the command line. The output below is a real run of the command. Budgets and exit codes are in the CI guide.
sparkforensics-analyze detectors --type smallFiles --format md# Detectors (1)
## SQL plans
| Tag | Type | Scope | Fix | Gate | What it finds |
| --- | --- | --- | --- | --- | --- |
| PLAN | `smallFiles` | sql | config | | A write produces many tiny files that slow every later read. |
Report only this finding type for a run with --type:
sparkforensics-analyze <event-log> --type smallFiles --impact critical,warning,info It has no budget flag. Fail a build on a new one by comparing against a baseline with --fail-on-introduced.
Airflow
The operator has no budget parameter for it. Use fail_on_introduced with a baseline.
check_spark_job = SparkForensicsOperator(
task_id="check_spark_job",
log_source=...,
backend=SubprocessAnalyzeHook(),
baseline_log_source=...,
fail_on_introduced="critical",
)The operator works per run, and its summary counts findings per impact band. See the operator for its parameters.
How it is measured
Thresholds
Over 100 files averaging under 3 MiB.
smallFiles version 2
| Threshold | Default |
|---|---|
minFiles | 100 |
maxAvgFileSizeMB | 3 |
Each rule's impact bands and fixed fallbacks are in the threshold tables.
Override a default per run with --thresholds; see Tuning detector thresholds.
Docs
- This finding has its own tuning page: Spark tuning reference.
- Findings guide: PLAN in Understanding findings.
- Shares the PLAN tag with: duplicate plan subtree, oversized broadcast join, missed broadcast join, row-at-a-time Python UDF, nested loop join, MERGE rewrite, unpruned partitioned scan, cast on a join key.