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add passing tests, full support for cloud file tables
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‎SCHEMA_EVOLUTION_DEBUG_SUMMARY.md‎

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# Reference Table Schema Evolution - Debug Summary
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## Context
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We are debugging why `TestAccReferenceTable_SchemaEvolution` fails in Terraform when updating a cloud file table's schema, even though the same operation works when calling the API directly.
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### The Problem
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- **Terraform test**: Fails when updating schema from 3 fields (a, b, c) to 4 fields (a, b, c, d) for a cloud file table
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- **Direct API test**: Same operation succeeds when done manually
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- **Root cause**: Schema updates for cloud file tables are asynchronous - the file sync must complete before the schema is updated in the backend
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## What We've Done
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### 1. Identified the Asynchronous Nature
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- Schema updates for cloud files happen asynchronously after file sync completes
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- The API returns 200 OK immediately, but the schema update happens later
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- In manual testing, we confirmed schema updates take ~5-10 seconds after the API call
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### 2. Added Retry Logic to Terraform Provider
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**File**: `datadog/fwprovider/resource_datadog_reference_table.go`
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- Added retry logic in `Update()` method to wait for schema updates (lines 415-470)
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- Added 3-second initial wait before first check (line 424)
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- Added pre-update check to ensure table is ready (status DONE/ERROR) before updating schema (lines 363-401)
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- Improved error messages to include status and file path for debugging
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- Retry configuration: 10 attempts, 5-second intervals (50 seconds total)
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### 3. Updated Test Configuration
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**File**: `datadog/tests/resource_datadog_reference_table_test.go`
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- Test creates table with `test.csv` (3 fields: a, b, c)
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- Test updates table with `test2.csv` (4 fields: a, b, c, d)
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- Added wait step between create and update (currently commented out for debugging)
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- Test expects 3 fields initially, then 4 fields after update
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### 4. Key Code Changes
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#### Pre-Update Wait Logic
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```go
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// If we're updating schema for a cloud file table, ensure the table is ready (not processing)
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// This prevents race conditions where we try to update while the initial sync is still running
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isUpdatingSchema := planState.Schema != nil
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if isUpdatingSchema && currentState.Source.ValueString() != "LOCAL_FILE" {
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// Check current status - if still processing, wait for it to complete
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currentResp, _, err := r.Api.GetTable(r.Auth, id)
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if err == nil && currentResp.Data != nil {
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attrs := currentResp.Data.GetAttributes()
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if status, ok := attrs.GetStatusOk(); ok && status != nil {
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statusStr := string(*status)
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if statusStr != "DONE" && statusStr != "ERROR" {
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// Wait for table to be ready before updating
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// ... retry logic ...
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}
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}
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}
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}
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```
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#### Post-Update Retry Logic
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```go
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// Wait 3 seconds before first check (matches manual API test timing)
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if isUpdatingSchema && expectedFieldCount > 0 {
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time.Sleep(3 * time.Second)
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}
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// Retry until schema matches expected field count
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retryErr := utils.Retry(5*time.Second, 10, func() error {
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resp, httpResp, err = r.Api.GetTable(r.Auth, id)
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// Check schema field count matches expected
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// Check for file processing errors
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// Return retryable error if schema doesn't match yet
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})
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```
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## What Remains to Be Fixed
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### 1. Test Still Failing
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- The test currently fails, but we've been debugging API 500 errors (likely transient)
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- Need to verify the retry logic works correctly once API is stable
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- May need to adjust retry count/interval based on actual API timing
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### 2. Wait Step in Test
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- The wait step between create and update is currently commented out
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- Should be re-enabled once we confirm the pre-update wait logic works
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- Location: `datadog/tests/resource_datadog_reference_table_test.go` lines 88-95
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### 3. Potential Issues to Investigate
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- **Race condition**: Even with pre-update wait, there might be a race between file sync completion and schema update
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- **Error handling**: Need to verify error messages are helpful when schema doesn't update
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- **Timing**: May need to increase retry count if schema updates take longer than 50 seconds
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## Exact Commands
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### Terraform Test Command
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```bash
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cd /Users/guillaume.brizolier/go/src/github.com/DataDog/terraform-provider-datadog
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dd-auth --domain dd.datad0g.com -- sh -c '
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export DD_TEST_CLIENT_API_KEY=$DD_API_KEY
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export DD_TEST_CLIENT_APP_KEY=$DD_APP_KEY
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export DD_TEST_SITE_URL=https://dd.datad0g.com/
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export DD_TEST_ORG=yB5yjZ
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export TF_ACC=true
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go test -v -run TestAccReferenceTable_SchemaEvolution ./datadog/tests/ -timeout 30m
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'
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```
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### Manual API Test Commands
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#### 1. Create Table with test.csv (3 fields: a, b, c)
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```bash
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cd /Users/guillaume.brizolier/go/src/github.com/DataDog/terraform-provider-datadog
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dd-auth --domain dd.datad0g.com -- sh -c '
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export DD_API_KEY
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export DD_APP_KEY
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TABLE_NAME="test_schema_evolution_$(date +%s)"
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curl -X POST "https://dd.datad0g.com/api/v2/reference-tables/tables" \
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-H "DD-API-KEY: $DD_API_KEY" \
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-H "DD-APPLICATION-KEY: $DD_APP_KEY" \
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-H "Content-Type: application/json" \
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-d "{
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\"data\": {
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\"type\": \"reference_table\",
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\"attributes\": {
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\"table_name\": \"$TABLE_NAME\",
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\"source\": \"S3\",
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\"file_metadata\": {
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\"sync_enabled\": true,
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\"access_details\": {
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\"aws_detail\": {
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\"aws_account_id\": \"924305315327\",
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\"aws_bucket_name\": \"dd-reference-tables-dev-staging\",
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\"file_path\": \"test.csv\"
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}
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}
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},
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\"schema\": {
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\"primary_keys\": [\"a\"],
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\"fields\": [
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{\"name\": \"a\", \"type\": \"STRING\"},
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{\"name\": \"b\", \"type\": \"STRING\"},
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{\"name\": \"c\", \"type\": \"STRING\"}
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]
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}
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}
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}
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}"
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'
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```
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**Save the table ID from the response** (e.g., `TABLE_ID="abc123..."`)
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#### 2. Wait for Initial Sync (3 seconds)
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```bash
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sleep 3
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```
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#### 3. Update Table with test2.csv (4 fields: a, b, c, d)
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```bash
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dd-auth --domain dd.datad0g.com -- sh -c '
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export DD_API_KEY
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export DD_APP_KEY
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TABLE_ID="<TABLE_ID_FROM_STEP_1>"
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curl -X PATCH "https://dd.datad0g.com/api/v2/reference-tables/tables/$TABLE_ID" \
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-H "DD-API-KEY: $DD_API_KEY" \
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-H "DD-APPLICATION-KEY: $DD_APP_KEY" \
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-H "Content-Type: application/json" \
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-d "{
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\"data\": {
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\"type\": \"reference_table\",
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\"attributes\": {
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\"file_metadata\": {
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\"sync_enabled\": true,
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\"access_details\": {
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\"aws_detail\": {
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\"aws_account_id\": \"924305315327\",
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\"aws_bucket_name\": \"dd-reference-tables-dev-staging\",
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\"file_path\": \"test2.csv\"
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}
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}
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},
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\"schema\": {
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\"primary_keys\": [\"a\"],
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\"fields\": [
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{\"name\": \"a\", \"type\": \"STRING\"},
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{\"name\": \"b\", \"type\": \"STRING\"},
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{\"name\": \"c\", \"type\": \"STRING\"},
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{\"name\": \"d\", \"type\": \"STRING\"}
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]
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}
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}
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}
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}"
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'
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```
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#### 4. Check Schema Immediately (should still show 3 fields)
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```bash
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dd-auth --domain dd.datad0g.com -- sh -c '
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export DD_API_KEY
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export DD_APP_KEY
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TABLE_ID="<TABLE_ID_FROM_STEP_1>"
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curl -X GET "https://dd.datad0g.com/api/v2/reference-tables/tables/$TABLE_ID" \
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-H "DD-API-KEY: $DD_API_KEY" \
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-H "DD-APPLICATION-KEY: $DD_APP_KEY" | jq ".data.attributes.schema.fields | length"
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'
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```
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**Expected**: `3` (schema not updated yet)
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#### 5. Wait and Check Again (should show 4 fields)
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```bash
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sleep 5
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dd-auth --domain dd.datad0g.com -- sh -c '
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export DD_API_KEY
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export DD_APP_KEY
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TABLE_ID="<TABLE_ID_FROM_STEP_1>"
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curl -X GET "https://dd.datad0g.com/api/v2/reference-tables/tables/$TABLE_ID" \
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-H "DD-API-KEY: $DD_API_KEY" \
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-H "DD-APPLICATION-KEY: $DD_APP_KEY" | jq ".data.attributes.schema.fields | length"
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'
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```
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**Expected**: `4` (schema updated after file sync completes)
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## Test Files
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### Test Configuration
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- **File**: `datadog/tests/resource_datadog_reference_table_test.go`
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- **Test function**: `TestAccReferenceTable_SchemaEvolution` (line 61)
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- **Initial config**: `testAccCheckDatadogReferenceTableSchemaInitial` (uses `test.csv` with 3 fields)
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- **Update config**: `testAccCheckDatadogReferenceTableSchemaAddFields` (uses `test2.csv` with 4 fields)
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### Test Data Files (in S3 bucket `dd-reference-tables-dev-staging`)
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- **test.csv**: Contains columns `a, b, c` with sample data
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- **test2.csv**: Contains columns `a, b, c, d` with sample data
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## Environment Variables Required
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```bash
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export DD_TEST_CLIENT_API_KEY=<api_key>
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export DD_TEST_CLIENT_APP_KEY=<app_key>
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export DD_TEST_SITE_URL=https://dd.datad0g.com/
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export DD_TEST_ORG=yB5yjZ # Public org ID for staging
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export TF_ACC=true # Required to run acceptance tests
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```
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## Key Insights
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1. **Asynchronous Schema Updates**: Schema updates for cloud files are asynchronous and happen after file sync completes
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2. **Timing Matters**: Need to wait 3-5 seconds after update API call before schema reflects changes
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3. **Pre-Update Check**: Table must be in DONE/ERROR status before attempting schema update
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4. **Retry Logic**: Terraform provider needs retry logic to wait for async schema updates
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5. **Error Detection**: File processing errors (like "more columns than schema") indicate schema hasn't updated yet
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## Next Steps
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1. Re-run Terraform test once API is stable (currently seeing 500 errors)
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2. Verify pre-update wait logic prevents race conditions
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3. Re-enable wait step in test if needed
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4. Adjust retry timing if schema updates take longer than expected
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5. Add more detailed logging if issues persist
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‎SCHEMA_UPDATE_ANALYSIS.md‎

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# Schema Evolution & Async Processing Analysis
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## Overview
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The issue of "Schema Evolution" failing (where `GetTable` returns the old schema after a file update) is caused by the asynchronous nature of the file processing pipeline and how schema updates are handled differently in the **Create** versus **Update** (Patch/Replace) flows.
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## API Logic: Create vs. Patch
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### 1. Create Table (`POST /v2/reference-tables`)
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* **Endpoint**: `CreateTable` in `reference-tables-api/http/v2_endpoints.go`.
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* **Flow**:
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1. Calls `ImportFileForCreate` in `reference-tables-edge`.
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2. `reference-tables-edge` calls `CreateResources`.
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3. `CreateResources` calls `upsert.Create`.
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4. `upsert.Create` uses `convertHeadersForCreate` which **creates a new schema** from the file headers.
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5. It then calls `produceUpsertRawFile` with `RawFile_CREATE`.
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### 2. Patch Table (`PATCH /v2/reference-tables/{id}`)
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* **Endpoint**: `PatchTable` in `reference-tables-api/http/v2_endpoints.go`.
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* **Flow**:
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* Validates access details and schema (if provided).
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* Calls `ImportFileForReplace` (via `handleNonLocalFileSyncDetails` or direct local flow).
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* `reference-tables-edge` calls `ReplaceResources`.
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* `ReplaceResources` calls `upsert.Replace`.
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* **Code:** [`Replace` in `upsert_replace.go`](https://github.com/DataDog/dd-go/blob/prod/resources/reference-tables/pkg/usecase/referencetables/upsert_replace.go#L72)
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## The Core Issue: Additive-Only Schema in Replace
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In the **Patch/Replace** flow (`upsert.Replace`), the schema update logic is **additive-only** and conservative.
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**Logic in `convertHeadersForReplace` (`upsert.go`):**
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1. It iterates over the **existing** schema fields and adds them to the new schema definition.
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2. It checks if `primaryKey` fields are present in the new file headers.
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3. It then adds any **new** headers found in the file.
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4. **CRITICAL**: It does **NOT** remove fields that are missing from the file (unless they are primary keys, which causes an error).
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5. `schemaChanged` is set to true **only if new fields are added** (or labels change).
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**Consequence**:
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* If you **add** a column: `schemaChanged` is true, and `UpdateTableSchema` is called synchronously. The schema evolves.
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* If you **remove** a column: `schemaChanged` is false (or the field is kept). The schema **does not evolve** to reflect the removal. The old column remains in the schema.
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## The "Missing Link" & File Operator
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You asked about the `file-operator` proof. Here is the clarification:
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1. **File Operator Role**:
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* The `file-operator` processes the raw file and infers the schema *exactly as it is in the file*.
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* It sends this exact schema in a `TableDefinition` message to the `write-operator`.
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* **Code:** [`Process` in `blob/writer.go`](https://github.com/DataDog/dd-go/blob/prod/resources/reference-tables/pkg/usecase/blob/writer.go#L178)
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2. **Write Operator & Aggregator (The Proof)**:
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* The `write-operator` consumes this message and calls `WriteSchema` on the backend.
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* For file-based tables (Postgres/Cassandra), the backend is `aggregator`.
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* **The Proof**: `Aggregator.WriteSchema` is a **NO-OP**.
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* **Code:** [`WriteSchema` (NO-OP) in `aggregator.go`](https://github.com/DataDog/dd-go/blob/prod/resources/reference-tables/pkg/repository/aggregator/aggregator.go#L131-L140)
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```go
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func (a *Aggregator) WriteSchema(...) error {
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// ... tracing ...
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span.Finish()
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return nil // NO-OP: Does not write to Postgres
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}
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```
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**Why this matters**:
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* Because `upsert.Replace` (Edge service) is **additive-only**, it cannot handle column removals.
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* The `file-operator` -> `write-operator` pipeline *has* the correct, exact schema (from the file).
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* If `Aggregator.WriteSchema` were implemented to update Postgres, it would **overwrite** the additive schema with the *exact* schema from the file, effectively supporting full schema evolution (including removals).
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* Since it is a NO-OP, we are stuck with the additive-only behavior of the synchronous Edge service.
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## Conclusion
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The "bug" preventing schema evolution (specifically removals or full sync) is a combination of:
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1. **Edge Service Design**: `upsert.Replace` is intentionally additive/safe.
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2. **Missing Async Update**: The `write-operator` (via `aggregator`) ignores the schema inferred from the file processing, which is the only place where the "true" file schema exists.
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**To support full schema evolution (making the file the source of truth):**
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We must implement `WriteSchema` in `aggregator.go` to update `table_metadata` in Postgres. This will make the system eventually consistent with the file content.

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