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Merge pull request #2348 from fishtown-analytics/fix/decimal-to-json-bq
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Fix for non-json-serializable values in BigQuery nested columns
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drewbanin authored Apr 27, 2020
2 parents 8bf5dd0 + 044f8fc commit f7b8e5c
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1 change: 1 addition & 0 deletions CHANGELOG.md
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Expand Up @@ -24,6 +24,7 @@
- Fix skipped node count in stdout at the end of a run ([#2095](https://github.com/fishtown-analytics/dbt/issues/2095), [#2310](https://github.com/fishtown-analytics/dbt/pull/2310))
- Fix an issue where BigQuery incorrectly used a relation's quote policy as the basis for the information schema's include policy, instead of the relation's include policy. ([#2188](https://github.com/fishtown-analytics/dbt/issues/2188), [#2325](https://github.com/fishtown-analytics/dbt/pull/2325))
- Fix "dbt deps" command so it respects the "--project-dir" arg if specified. ([#2338](https://github.com/fishtown-analytics/dbt/issues/2338), [#2339](https://github.com/fishtown-analytics/dbt/issues/2339))
- Fix "Object of type Decimal is not JSON serializable" error when BigQuery queries returned numeric types in nested data structures ([#2336](https://github.com/fishtown-analytics/dbt/issues/2336), [#2348](https://github.com/fishtown-analytics/dbt/pull/2348))

### Under the hood
- Added more tests for source inheritance ([#2264](https://github.com/fishtown-analytics/dbt/issues/2264), [#2291](https://github.com/fishtown-analytics/dbt/pull/2291))
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3 changes: 2 additions & 1 deletion core/dbt/clients/agate_helper.py
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Expand Up @@ -4,6 +4,7 @@
import datetime
import isodate
import json
import dbt.utils
from typing import Iterable, List, Dict, Union, Optional, Any

from dbt.exceptions import RuntimeException
Expand Down Expand Up @@ -92,7 +93,7 @@ def table_from_data_flat(data, column_names: Iterable[str]) -> agate.Table:
row = []
for value in list(_row.values()):
if isinstance(value, (dict, list, tuple)):
row.append(json.dumps(value))
row.append(json.dumps(value, cls=dbt.utils.JSONEncoder))
else:
row.append(value)
rows.append(row)
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Expand Up @@ -27,8 +27,8 @@ def test__bigquery_fetch_nested_records(self):
cast('Stonebreaker' as string) as lname
) as user,
[
struct(1 as val_1, 2 as val_2),
struct(3 as val_1, 4 as val_2)
struct(1 as val_1, cast(2.12 as numeric) as val_2),
struct(3 as val_1, cast(4.83 as numeric) as val_2)
] as val
union all
Expand All @@ -39,8 +39,8 @@ def test__bigquery_fetch_nested_records(self):
cast('Brickmaker' as string) as lname
) as user,
[
struct(7 as val_1, 8 as val_2),
struct(9 as val_1, 0 as val_2)
struct(7 as val_1, cast(8 as numeric) as val_2),
struct(9 as val_1, cast(null as numeric) as val_2)
] as val
"""

Expand All @@ -55,8 +55,8 @@ def test__bigquery_fetch_nested_records(self):
'{"fname": "Johnny", "lname": "Brickmaker"}'
],
"val": [
'[{"val_1": 1, "val_2": 2}, {"val_1": 3, "val_2": 4}]',
'[{"val_1": 7, "val_2": 8}, {"val_1": 9, "val_2": 0}]'
'[{"val_1": 1, "val_2": 2.12}, {"val_1": 3, "val_2": 4.83}]',
'[{"val_1": 7, "val_2": 8}, {"val_1": 9, "val_2": null}]'
]
}

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