Datasets:

ayushjoshi2012
/

sql-optimization-diagnostic-traces

@@ -1,109 +1,109 @@
----
-license: cc-by-nc-4.0
-task_categories:
-- text-generation
-- question-answering
-language:
-- en
-tags:
-- sql
-- database
-- query-optimization
-- explain-analyze
-- postgresql
-- mysql
-- clickhouse
-- cockroachdb
-- dba
-- fine-tuning
-pretty_name: Enterprise Database Query Plan Optimization & Remediation Traces
-size_categories:
-- 1K<n<10K
----
-# Enterprise Database Query Plan Optimization & Remediation Traces (Community Preview)
-<p align="center">
-  <img src="dataset_product_cover_1024.png" alt="Dataset Banner" width="700"/>
-</p>
-## Overview
-High-concurrency database workloads frequently degrade due to optimizer plan misestimations, unindexed correlated joins, merge-sort memory spills, and non-sargable expressions.
-This repository hosts the **Community Preview (250 verified traces)** of an architectural fine-tuning dataset spanning **PostgreSQL 16, MySQL 8.0, ClickHouse 24, CockroachDB, MariaDB, and SQLite**. Each record pairs an authentic production query regression and raw execution plan (`EXPLAIN ANALYZE`) with chain-of-thought architectural diagnosis, actionable remediation DDL, and dialect-compliant optimized queries.
----
-## Dataset Splits & Commercial Licensing
-| Split | Records | Format | Primary Use Case | License |
-| :--- | :--- | :--- | :--- | :--- |
-| **Community Evaluation** (This Repo) | 250 | Parquet | Benchmarking, zero-shot eval, research | **CC BY-NC 4.0** |
-| **Enterprise Commercial Corpus** | 2,500 | Parquet + JSONL | Production fine-tuning (SFT/DPO), commercial DBA agents | **Commercial Enterprise License** |
-### Complete Enterprise Corpus (2,500 Records)
-For production model deployment, proprietary agent training, or private RAG pipelines without non-commercial restrictions:
-👉 **[Acquire Enterprise Commercial License & Dataset via Dodo Payments](https://checkout.dodopayments.com/buy/pdt_0NqD7nyGBW7fVDMd1Fm2l)**
----
-## Data Structure & Schema
-```json
-{
-  "database_engine": "string",
-  "slow_query": "string",
-  "execution_plan": "string",
-  "diagnostic_thought": "string",
-  "remediation_ddl": "string",
-  "optimized_query": "string"
-}
-```
-### Field Definitions
-| Field | Data Type | Description |
-| :--- | :--- | :--- |
-| `database_engine` | `string` | Target engine dialect & exact version (e.g., `PostgreSQL 16.2`, `ClickHouse 24.3`). |
-| `slow_query` | `string` | Realistic unoptimized SQL query triggering runtime performance degradation. |
-| `execution_plan` | `string` | Raw optimizer output (`EXPLAIN (ANALYZE, BUFFERS)` or JSON plan) exposing node bottlenecks. |
-| `diagnostic_thought` | `string` | Step-by-step reasoning diagnosing node cost, row estimate deltas, and I/O buffer behavior. |
-| `remediation_ddl` | `string` | Executable DDL statements (`CREATE INDEX CONCURRENTLY`, table parameter tuning). |
-| `optimized_query` | `string` | Performant rewritten query strictly adhering to engine dialect grammar. |
----
-## Quickstart (Hugging Face Datasets)
-```python
-from datasets import load_dataset
-# Load Community Preview
-dataset = load_dataset("ayushjoshi2012/sql-optimization-diagnostic-traces", split="train")
-# Inspect a single diagnostic trace
-sample = dataset[0]
-print(f"Engine: {sample['database_engine']}")
-print(f"Slow Query:\n{sample['slow_query']}")
-print(f"Diagnosis:\n{sample['diagnostic_thought']}")
-print(f"Remediation DDL:\n{sample['remediation_ddl']}")
-print(f"Rewritten Query:\n{sample['optimized_query']}")
-```
----
-## Core Domain Taxonomy
-Traces are generated across representative enterprise schema designs:
-* **Fintech & Ledger Core:** Double-entry ledger scans, implicit UUID-to-integer type coercion, balance aggregations.
-* **IoT & Telematics:** Granule skip-index mismatches, partition decompression stalls, time-bucket groupings.
-* **B2B SaaS & Security:** High-offset tenant audit logs, soft-delete booleans, unindexed RBAC joins.
-* **Healthcare & EHR:** Unindexed composite foreign keys, leading-wildcard text filters, outdated optimizer statistics.
-* **Freight & Global Logistics:** Disk-spilling merge joins on departure timestamps, Cartesian row multiplication.
-* **AdTech & Gaming Telemetry:** Unindexed streaming click joins, unbounded window function sorts, leaderboard lock contention.
----
-## Citation & Contact
 For inquiries regarding custom synthetic domain generation, enterprise site licenses, or data additions, please commentinitiate a new discussion.

+---
+license: cc-by-nc-4.0
+task_categories:
+- text-generation
+- question-answering
+language:
+- en
+tags:
+- sql
+- database
+- query-optimization
+- explain-analyze
+- postgresql
+- mysql
+- clickhouse
+- cockroachdb
+- dba
+- fine-tuning
+pretty_name: "Enterprise Database Query Plan Optimization & Remediation Traces"
+size_categories:
+- 100<n<1K
+---
+# Enterprise Database Query Plan Optimization & Remediation Traces (Community Preview)
+<p align="center">
+  <img src="dataset_product_cover_1024.png" alt="Dataset Banner" width="700"/>
+</p>
+## Overview
+High-concurrency database workloads frequently degrade due to optimizer plan misestimations, unindexed correlated joins, merge-sort memory spills, and non-sargable expressions.
+This repository hosts the **Community Preview (250 verified traces)** of an architectural fine-tuning dataset spanning **PostgreSQL 16, MySQL 8.0, ClickHouse 24, CockroachDB, MariaDB, and SQLite**. Each record pairs an authentic production query regression and raw execution plan (`EXPLAIN ANALYZE`) with chain-of-thought architectural diagnosis, actionable remediation DDL, and dialect-compliant optimized queries.
+---
+## Dataset Splits & Commercial Licensing
+| Split | Records | Format | Primary Use Case | License |
+| :--- | :--- | :--- | :--- | :--- |
+| **Community Evaluation** (This Repo) | 250 | Parquet | Benchmarking, zero-shot eval, research | **CC BY-NC 4.0** |
+| **Enterprise Commercial Corpus** | 2,500 | Parquet + JSONL | Production fine-tuning (SFT/DPO), commercial DBA agents | **Commercial Enterprise License** |
+### Complete Enterprise Corpus (2,500 Records)
+For production model deployment, proprietary agent training, or private RAG pipelines without non-commercial restrictions:
+👉 **[Acquire Enterprise Commercial License & Dataset via Dodo Payments](https://checkout.dodopayments.com/buy/pdt_0NqD7nyGBW7fVDMd1Fm2l)**
+---
+## Data Structure & Schema
+```json
+{
+  "database_engine": "string",
+  "slow_query": "string",
+  "execution_plan": "string",
+  "diagnostic_thought": "string",
+  "remediation_ddl": "string",
+  "optimized_query": "string"
+}
+```
+### Field Definitions
+| Field | Data Type | Description |
+| :--- | :--- | :--- |
+| `database_engine` | `string` | Target engine dialect & exact version (e.g., `PostgreSQL 16.2`, `ClickHouse 24.3`). |
+| `slow_query` | `string` | Realistic unoptimized SQL query triggering runtime performance degradation. |
+| `execution_plan` | `string` | Raw optimizer output (`EXPLAIN (ANALYZE, BUFFERS)` or JSON plan) exposing node bottlenecks. |
+| `diagnostic_thought` | `string` | Step-by-step reasoning diagnosing node cost, row estimate deltas, and I/O buffer behavior. |
+| `remediation_ddl` | `string` | Executable DDL statements (`CREATE INDEX CONCURRENTLY`, table parameter tuning). |
+| `optimized_query` | `string` | Performant rewritten query strictly adhering to engine dialect grammar. |
+---
+## Quickstart (Hugging Face Datasets)
+```python
+from datasets import load_dataset
+# Load Community Preview
+dataset = load_dataset("ayushjoshi2012/sql-optimization-diagnostic-traces", split="train")
+# Inspect a single diagnostic trace
+sample = dataset[0]
+print(f"Engine: {sample['database_engine']}")
+print(f"Slow Query:\n{sample['slow_query']}")
+print(f"Diagnosis:\n{sample['diagnostic_thought']}")
+print(f"Remediation DDL:\n{sample['remediation_ddl']}")
+print(f"Rewritten Query:\n{sample['optimized_query']}")
+```
+---
+## Core Domain Taxonomy
+Traces are generated across representative enterprise schema designs:
+* **Fintech & Ledger Core:** Double-entry ledger scans, implicit UUID-to-integer type coercion, balance aggregations.
+* **IoT & Telematics:** Granule skip-index mismatches, partition decompression stalls, time-bucket groupings.
+* **B2B SaaS & Security:** High-offset tenant audit logs, soft-delete booleans, unindexed RBAC joins.
+* **Healthcare & EHR:** Unindexed composite foreign keys, leading-wildcard text filters, outdated optimizer statistics.
+* **Freight & Global Logistics:** Disk-spilling merge joins on departure timestamps, Cartesian row multiplication.
+* **AdTech & Gaming Telemetry:** Unindexed streaming click joins, unbounded window function sorts, leaderboard lock contention.
+---
+## Citation & Contact
 For inquiries regarding custom synthetic domain generation, enterprise site licenses, or data additions, please commentinitiate a new discussion.