340 lines
8.3 KiB
Markdown
340 lines
8.3 KiB
Markdown
---
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name: histunion-create
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description: Create hist-union workflow for combining historical and incremental table data
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---
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# Create Hist-Union Workflow
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## ⚠️ CRITICAL: This command enforces strict schema validation and template adherence
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I'll help you create a production-ready hist-union workflow to combine historical and incremental table data.
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---
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## Required Information
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Please provide the following details:
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### 1. Table Names
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You can provide table names in any of these formats:
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- **Base name**: `client_src.klaviyo_events` (I'll derive hist and histunion names)
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- **Hist name**: `client_src.klaviyo_events_hist` (I'll derive inc and histunion names)
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- **Explicit**: Inc: `client_src.klaviyo_events`, Hist: `client_src.klaviyo_events_hist`
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### 2. Lookup Database (Optional)
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- **Lookup/Config Database**: Database for inc_log watermark table
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- **Default**: `client_config` (will be used if not specified)
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---
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## What I'll Do
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### Step 1: Parse Table Names Intelligently
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I will automatically derive all three table names:
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```
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From your input, I'll extract:
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- Database name
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- Base table name (removing _hist or _histunion if present)
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- Inc table: {database}.{base_name}
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- Hist table: {database}.{base_name}_hist
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- Target table: {database}.{base_name}_histunion
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```
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### Step 2: Get Exact Schemas via MCP Tool (MANDATORY)
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I will use MCP tool to get exact column information:
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```
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1. Call mcp__treasuredata__describe_table for inc table
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- Get complete column list
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- Get exact column order
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- Get data types
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2. Call mcp__treasuredata__describe_table for hist table
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- Get complete column list
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- Get exact column order
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- Get data types
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3. Compare schemas:
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- Identify columns in inc but not in hist
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- Identify any schema differences
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- Document column order
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```
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### Step 3: Check Full Load Status
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I will check if table requires full load processing:
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```
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IF table_name IN ('klaviyo_lists', 'klaviyo_metric_data'):
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Use FULL LOAD template (Case 3)
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- DROP TABLE and recreate
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- Load ALL data (no WHERE clause)
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- Still update watermarks
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ELSE:
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Use INCREMENTAL template (Case 1 or 2)
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- CREATE TABLE IF NOT EXISTS
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- Filter using inc_log watermarks
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- Update watermarks after insert
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```
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### Step 4: Select Correct SQL Template
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Based on schema comparison:
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```
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IF full_load_table:
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Template = Case 3 (Full Load)
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ELIF inc_schema == hist_schema:
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Template = Case 1 (Identical schemas)
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ELSE:
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Template = Case 2 (Inc has extra columns)
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```
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### Step 5: Generate SQL File
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I will create SQL file with exact schema:
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```
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File: hist_union/queries/{base_table_name}.sql
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Structure:
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- CREATE TABLE (or DROP + CREATE for full load)
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- Use EXACT inc table schema
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- Maintain exact column order
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- INSERT INTO with UNION ALL:
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- Historical SELECT
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- Add NULL for columns missing in hist
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- Use inc_log watermark (skip for full load)
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- Incremental SELECT
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- Use all columns in exact order
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- Use inc_log watermark (skip for full load)
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- UPDATE watermarks:
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- Update hist table watermark
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- Update inc table watermark
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```
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### Step 6: Create or Update Digdag Workflow
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I will update the workflow file:
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```
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File: hist_union/hist_union_runner.dig
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If file doesn't exist, create with:
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- timezone: UTC
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- _export section with database and lkup_db
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- +create_inc_log_table task
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- +hist_union_tasks section with _parallel: true
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Add new task:
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+hist_union_tasks:
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_parallel: true
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+{table_name}_histunion:
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td>: queries/{table_name}.sql
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```
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### Step 7: Verify Quality Gates
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Before delivering, I will verify:
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```
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✅ MCP tool used for both inc and hist table schemas
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✅ Schema differences identified and documented
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✅ Correct template selected (Case 1, 2, or 3)
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✅ All inc table columns present in CREATE TABLE
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✅ Exact column order maintained from inc schema
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✅ NULL added for columns missing in hist table (if applicable)
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✅ Watermark updates present for both hist and inc tables
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✅ _parallel: true configured for concurrent execution
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✅ No schedule block in workflow file
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✅ Correct lkup_db set (client_config or user-specified)
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```
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---
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## Output
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I will generate:
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### For Single Table:
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1. **hist_union/queries/{table_name}.sql** - SQL for combining hist and inc data
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2. **hist_union/hist_union_runner.dig** - Updated workflow file
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### File Contents:
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**SQL File Structure:**
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```sql
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-- CREATE TABLE using exact inc table schema
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CREATE TABLE IF NOT EXISTS {database}.{table_name}_histunion (
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-- All columns from inc table in exact order
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...
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);
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-- INSERT with UNION ALL
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INSERT INTO {database}.{table_name}_histunion
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-- Historical data (with NULL for missing columns if needed)
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SELECT ...
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FROM {database}.{table_name}_hist
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WHERE time > COALESCE((SELECT MAX(inc_value) FROM {lkup_db}.inc_log ...), 0)
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UNION ALL
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-- Incremental data
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SELECT ...
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FROM {database}.{table_name}
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WHERE time > COALESCE((SELECT MAX(inc_value) FROM {lkup_db}.inc_log ...), 0);
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-- Update watermarks
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INSERT INTO {lkup_db}.inc_log ...
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```
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**Workflow File Structure:**
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```yaml
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timezone: UTC
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_export:
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td:
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database: {database}
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lkup_db: {lkup_db}
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+create_inc_log_table:
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td>:
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query: |
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CREATE TABLE IF NOT EXISTS ${lkup_db}.inc_log (...)
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+hist_union_tasks:
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_parallel: true
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+{table_name}_histunion:
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td>: queries/{table_name}.sql
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```
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---
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## Special Cases
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### Full Load Tables
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For `klaviyo_lists` and `klaviyo_metric_data`:
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```sql
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-- DROP TABLE (fresh start each run)
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DROP TABLE IF EXISTS {database}.{table_name}_histunion;
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-- CREATE TABLE (no IF NOT EXISTS)
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CREATE TABLE {database}.{table_name}_histunion (...);
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-- INSERT with NO WHERE clause (load all data)
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INSERT INTO {database}.{table_name}_histunion
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SELECT ... FROM {database}.{table_name}_hist
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UNION ALL
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SELECT ... FROM {database}.{table_name};
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-- Still update watermarks (for tracking)
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INSERT INTO {lkup_db}.inc_log ...
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```
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### Schema Differences
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When inc table has columns that hist table doesn't:
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```sql
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-- CREATE uses inc schema (includes all columns)
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CREATE TABLE IF NOT EXISTS {database}.{table_name}_histunion (
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incremental_date varchar, -- Extra column from inc
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...other columns...
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);
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-- Hist SELECT adds NULL for missing columns
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SELECT
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NULL as incremental_date, -- NULL for missing column
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...other columns...
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FROM {database}.{table_name}_hist
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UNION ALL
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-- Inc SELECT uses all columns
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SELECT
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incremental_date, -- Actual value
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...other columns...
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FROM {database}.{table_name}
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```
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---
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## Next Steps After Generation
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1. **Review Generated Files**:
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```bash
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cat hist_union/queries/{table_name}.sql
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cat hist_union/hist_union_runner.dig
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```
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2. **Verify SQL Syntax**:
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```bash
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cd hist_union
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td wf check hist_union_runner.dig
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```
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3. **Run Workflow**:
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```bash
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td wf run hist_union_runner.dig
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```
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4. **Verify Results**:
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```sql
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-- Check row counts
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SELECT COUNT(*) FROM {database}.{table_name}_histunion;
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-- Check watermarks
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SELECT * FROM {lkup_db}.inc_log
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WHERE project_name = 'hist_union'
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ORDER BY table_name;
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-- Sample data
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SELECT * FROM {database}.{table_name}_histunion
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LIMIT 10;
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```
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---
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## Examples
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### Example 1: Simple Table Name
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```
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User: "Create hist-union for client_src.shopify_products"
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I will derive:
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- Inc: client_src.shopify_products
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- Hist: client_src.shopify_products_hist
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- Target: client_src.shopify_products_histunion
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- Lookup DB: client_config (default)
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```
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### Example 2: Hist Table Name
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```
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User: "Add client_src.klaviyo_events_hist to hist_union"
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I will derive:
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- Inc: client_src.klaviyo_events
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- Hist: client_src.klaviyo_events_hist
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- Target: client_src.klaviyo_events_histunion
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- Lookup DB: client_config (default)
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```
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### Example 3: Custom Lookup DB
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```
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User: "Create hist-union for mc_src.users with lookup db mc_config"
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I will use:
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- Inc: mc_src.users
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- Hist: mc_src.users_hist
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- Target: mc_src.users_histunion
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- Lookup DB: mc_config (user-specified)
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```
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---
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## Production-Ready Guarantee
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All generated code will:
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- ✅ Use exact schemas from MCP tool (no guessing)
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- ✅ Handle schema differences correctly
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- ✅ Use correct template based on full load check
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- ✅ Maintain exact column order
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- ✅ Include proper NULL handling
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- ✅ Update watermarks correctly
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- ✅ Use parallel execution for efficiency
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- ✅ Follow Presto/Trino SQL syntax
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- ✅ Be production-tested and proven
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---
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**Ready to proceed? Please provide the table name(s) and I'll generate your complete hist-union workflow using exact schemas from MCP tool and production-tested templates.**
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