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Co-authored-by: Michiel De Smet <[email protected]>
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Original file line number | Diff line number | Diff line change |
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@@ -1,18 +1,11 @@ | ||
from abc import abstractmethod | ||
from typing import Optional | ||
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from datapilot.core.insights.base.insight import Insight | ||
from datapilot.schemas.sql import Dialect | ||
from datapilot.core.platforms.dbt.insights.checks.base import ChecksInsight | ||
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class SqlInsight(Insight): | ||
class SqlInsight(ChecksInsight): | ||
NAME = "SqlInsight" | ||
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def __init__(self, sql: str, dialect: Optional[Dialect], *args, **kwargs): | ||
self.sql = sql | ||
self.dialect = dialect | ||
super().__init__(*args, **kwargs) | ||
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@abstractmethod | ||
def generate(self, *args, **kwargs) -> dict: | ||
pass |
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Original file line number | Diff line number | Diff line change |
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from abc import abstractmethod | ||
from typing import Tuple | ||
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from datapilot.core.platforms.dbt.insights.base import DBTInsight | ||
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class SqlInsight(DBTInsight): | ||
TYPE = "governance" | ||
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@abstractmethod | ||
def generate(self, *args, **kwargs) -> dict: | ||
pass | ||
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@classmethod | ||
def has_all_required_data(cls, has_manifest: bool, **kwargs) -> Tuple[bool, str]: | ||
""" | ||
Check if all required data is available for the insight to run. | ||
:param has_manifest: A boolean indicating if manifest is available. | ||
:return: A boolean indicating if all required data is available. | ||
""" | ||
if not has_manifest: | ||
return False, "manifest is required for insight to run." | ||
return True, "" |
101 changes: 101 additions & 0 deletions
101
src/datapilot/core/platforms/dbt/insights/sql/sql_check.py
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import inspect | ||
from typing import List | ||
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from sqlglot import parse_one | ||
from sqlglot.optimizer.eliminate_ctes import eliminate_ctes | ||
from sqlglot.optimizer.eliminate_joins import eliminate_joins | ||
from sqlglot.optimizer.eliminate_subqueries import eliminate_subqueries | ||
from sqlglot.optimizer.normalize import normalize | ||
from sqlglot.optimizer.pushdown_projections import pushdown_projections | ||
from sqlglot.optimizer.qualify import qualify | ||
from sqlglot.optimizer.unnest_subqueries import unnest_subqueries | ||
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from datapilot.core.insights.sql.base.insight import SqlInsight | ||
from datapilot.core.insights.utils import get_severity | ||
from datapilot.core.platforms.dbt.insights.schema import DBTInsightResult | ||
from datapilot.core.platforms.dbt.insights.schema import DBTModelInsightResponse | ||
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RULES = ( | ||
pushdown_projections, | ||
normalize, | ||
unnest_subqueries, | ||
eliminate_subqueries, | ||
eliminate_joins, | ||
eliminate_ctes, | ||
) | ||
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class SqlCheck(SqlInsight): | ||
""" | ||
This class identifies DBT models with SQL optimization issues. | ||
""" | ||
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NAME = "sql optimization issues" | ||
ALIAS = "check_sql_optimization" | ||
DESCRIPTION = "Checks if the model has SQL optimization issues. " | ||
REASON_TO_FLAG = "The query can be optimized." | ||
FAILURE_MESSAGE = "The query for model `{model_unique_id}` has optimization opportunities:\n{rule_name}. " | ||
RECOMMENDATION = "Please adapt the query of the model `{model_unique_id}` as in following example:\n{optimized_sql}" | ||
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def _build_failure_result(self, model_unique_id: str, rule_name: str, optimized_sql: str) -> DBTInsightResult: | ||
""" | ||
Constructs a failure result for a given model with sql optimization issues. | ||
:param model_unique_id: The unique id of the dbt model. | ||
:param rule_name: The rule that generated this failure result. | ||
:param optimized_sql: The optimized sql. | ||
:return: An instance of DBTInsightResult containing failure details. | ||
""" | ||
failure_message = self.FAILURE_MESSAGE.format(model_unique_id=model_unique_id, rule_name=rule_name) | ||
recommendation = self.RECOMMENDATION.format(model_unique_id=model_unique_id, optimized_sql=optimized_sql) | ||
return DBTInsightResult( | ||
type=self.TYPE, | ||
name=self.NAME, | ||
message=failure_message, | ||
recommendation=recommendation, | ||
reason_to_flag=self.REASON_TO_FLAG, | ||
metadata={"model_unique_id": model_unique_id, "rule_name": rule_name}, | ||
) | ||
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def generate(self, *args, **kwargs) -> List[DBTModelInsightResponse]: | ||
""" | ||
Generates insights for each DBT model in the project, focusing on sql optimization issues. | ||
:return: A list of DBTModelInsightResponse objects with insights for each model. | ||
""" | ||
self.logger.debug("Generating sql insights for DBT models") | ||
insights = [] | ||
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possible_kwargs = { | ||
"db": None, | ||
"catalog": None, | ||
"dialect": self.adapter_type, | ||
"isolate_tables": True, # needed for other optimizations to perform well | ||
"quote_identifiers": False, | ||
**kwargs, | ||
} | ||
for node_id, node in self.nodes.items(): | ||
try: | ||
compiled_query = node.compiled_code | ||
if compiled_query: | ||
parsed_query = parse_one(compiled_query, dialect=self.adapter_type) | ||
qualified = qualify(parsed_query, **possible_kwargs) | ||
changed = qualified.copy() | ||
for rule in RULES: | ||
original = changed.copy() | ||
rule_params = inspect.getfullargspec(rule).args | ||
rule_kwargs = {param: possible_kwargs[param] for param in rule_params if param in possible_kwargs} | ||
changed = rule(changed, **rule_kwargs) | ||
if changed.sql() != original.sql(): | ||
insights.append( | ||
DBTModelInsightResponse( | ||
unique_id=node_id, | ||
package_name=node.package_name, | ||
path=node.original_file_path, | ||
original_file_path=node.original_file_path, | ||
insight=self._build_failure_result(node_id, rule.__name__, changed.sql()), | ||
severity=get_severity(self.config, self.ALIAS, self.DEFAULT_SEVERITY), | ||
) | ||
) | ||
except Exception as e: | ||
self.logger.error(e) | ||
return insights |
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