xudong963 commented on code in PR #17040:
URL: https://github.com/apache/datafusion/pull/17040#discussion_r2254055478


##########
dev/update_config_docs.sh:
##########
@@ -92,6 +92,38 @@ EOF
 echo "Running CLI and inserting runtime config docs table"
 $PRINT_RUNTIME_CONFIG_DOCS_COMMAND >> "$TARGET_FILE"
 
+cat <<'EOF' >> "$TARGET_FILE"
+
+# Tuning Guide
+
+## Short Queries
+
+By default DataFusion will attempt to maximize parallelism and use all cores --
+For example, if you have 32 cores, each plan will split the data into 32
+partitions. However, if your data is small, the overhead of splitting the data
+to enable parallelization can dominate the actual computation.
+
+You can find out how many cores are being used via the [`EXPLAIN`] command and 
look
+at the number of partitions in the plan.
+
+[`EXPLAIN`]: sql/explain.md
+
+The `datafusion.optimizer.repartition_file_min_size` option controls the 
minimum file size the
+[`ListingTable`] provider will attempt to repartition. However, this
+does not apply to user defined data sources and only works when DataFusion has 
accurate statistics.
+
+If you know your data is small, you can set the 
`datafusion.execution.target_partitions`
+option to a smaller number to reduce the overhead of repartitioning. For very 
small datasets (e.g. less
+than 1MB), we recommend setting `target_partitions` to 1 to avoid 
repartitioning altogether.
+
+```sql
+SET datafusion.execution.target_partitions = '1';
+```

Review Comment:
   We have some such cases, will have a try



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