feat(gooddata-sdk): [AUTO] Add HLL data type, APPROXIMATE_COUNT operation, and HYPERLOGLOG label type

[yenkins-admin]

Summary

Added HLL to ColumnDataType enum in gooddata-pipelines, and HYPERLOGLOG + AUXILIARY to GoodDataLabelType enum in gooddata-dbt. APPROXIMATE_COUNT was already present in gooddata-sdk's SIMPLE_METRIC_AGGREGATION and _AGGREGATION_CONVERSION. The gooddata-sdk declarative model fields (source_column_data_type, value_type) are typed as str | None without enum validators, so no SDK-core changes were needed.

Impact: enum_addition | Services: gooddata-afm-client, gooddata-metadata-client

Files changed

• packages/gooddata-dbt/src/gooddata_dbt/dbt/base.py
• packages/gooddata-pipelines/src/gooddata_pipelines/ldm_extension/models/custom_data_object.py

Agent decisions

Decisions (3)

APPROXIMATE_COUNT already present — No change to gooddata-sdk metric.py or visualization.py

• Alternatives: Add duplicate entry (incorrect), Remove and re-add (unnecessary churn)
• Why: SIMPLE_METRIC_AGGREGATION in compute/model/metric.py already contained 'APPROXIMATE_COUNT' (line 43), and _AGGREGATION_CONVERSION in visualization.py already mapped 'approximate_count' -> 'APPROXIMATE_COUNT'. The API client also already included this value.

gooddata-sdk core fields need no change — Left source_column_data_type and value_type fields as str | None without validation

• Alternatives: Add Literal type annotations, Add value_in_allowed validators
• Why: The declarative model fields in dataset.py use plain str | None types with no enum-based validators, so new string values pass through automatically without any code change.

GoodDataLabelType scope — Added both HYPERLOGLOG and AUXILIARY to GoodDataLabelType in gooddata-dbt

• Alternatives: Add only AUXILIARY, Leave for dbt team to add separately
• Why: HYPERLOGLOG was already in the API client's declarative_label.py enum but not in the hand-written dbt GoodDataLabelType. AUXILIARY is brand-new. Both are valid LabelType values per the diff.

Assumptions to verify (3)

• The gooddata-api-client auto-generated models will be regenerated separately to include HLL (SourceDataType) and AUXILIARY (LabelType); the hand-written SDK wrapper does not need to enumerate valid values for those fields.
• HYPERLOGLOG was already present in the API client (declarative_label.py line 83) so the backend already supports it; the dbt enum was simply behind.
• HLL is a valid SourceDataType usable as source_column_data_type for attributes, facts, and labels, similar to BOOLEAN or NUMERIC.

Layers touched (1)

• entity_model — Enum definitions for LabelType (GoodDataLabelType) and SourceDataType (ColumnDataType)
  • packages/gooddata-dbt/src/gooddata_dbt/dbt/base.py
  • packages/gooddata-pipelines/src/gooddata_pipelines/ldm_extension/models/custom_data_object.py

Source commits (gdc-nas)

• 03cb7b6 Merge pull request #21512 from pcerny/pce/cq-2118_hll_sr
• 6faf4e2 Merge pull request #21484 from pcerny/pce/cq-2118_hll_sr
• e6d7adb Merge pull request #21592 from pcerny/pce/cq-2118_vertica_scan
• 5ce05e5 Merge pull request #22135 from gooddata/ine-hll-ff
• 7ed4096 Merge pull request #22170 from pcerny/pce/cq-2232_hll_col
• f24d083 Merge pull request #22147 from pcerny/pce/cq-2227_dataset_auxiliary
• e35ed4c Merge pull request #20807 from gooddata/ine-cq-2014

OpenAPI diff

+      "HLL": added to SourceDataType enum,
       "SourceDataType": {
         "enum": [
           "BOOLEAN", "DATE", "NUMERIC",
+          "HLL",
           "STRING", "TIMESTAMP"
         ]
       },
       "LabelType": {
         "enum": [
+          "AUXILIARY",
+          "HYPERLOGLOG",
           "ATTRIBUTE", "GEO", ...
         ]
       },
       "MeasureAggregation": {
         "enum": [
+          "APPROXIMATE_COUNT",
           "AVG", "COUNT", ...
         ]
       }

Workflow run

---

Generated by SDK OpenAPI Sync workflow

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 78.66%. Comparing base (c00ca3b) to head (81def14).
⚠️ Report is 170 commits behind head on master.

Additional details and impacted files

@@             Coverage Diff             @@
##           master    #1570       +/-   ##
===========================================
+ Coverage    0.00%   78.66%   +78.66%     
===========================================
  Files         158      230       +72     
  Lines       11048    15408     +4360     
===========================================
+ Hits            0    12121    +12121     
+ Misses      11048     3287     -7761     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.