yujunjun/datahub
2
0
Fork 0
mirror of https://github.com/datahub-project/datahub.git synced 2025-10-29 17:59:24 +00:00
Code Issues Packages Projects Releases Wiki Activity

feat(ingest/databricks): report unique query count from usage (#11576)

Browse Source
This commit is contained in:
Mayuri Nehate 2024-10-29 13:50:55 +05:30 committed by GitHub
parent 8c53c54081
commit 20d0999601
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
2 changed files with 14 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
metadata-ingestion/src/datahub/ingestion/source/unity/report.py
View File

@ -12,8 +12,10 @@ from datahub.utilities.perf_timer import PerfTimer
class UnityCatalogUsagePerfReport(Report):
get_queries_timer: PerfTimer = field(default_factory=PerfTimer)
sql_parsing_timer: PerfTimer = field(default_factory=PerfTimer)
spark_sql_parsing_timer: PerfTimer = field(default_factory=PerfTimer)
aggregator_add_event_timer: PerfTimer = field(default_factory=PerfTimer)
gen_operation_timer: PerfTimer = field(default_factory=PerfTimer)
query_fingerprinting_timer: PerfTimer = field(default_factory=PerfTimer)
@dataclass
@ -32,6 +34,7 @@ class UnityCatalogReport(IngestionStageReport, ProfilingSqlReport):
num_external_upstreams_unsupported: int = 0
num_queries: int = 0
num_unique_queries: int = 0
num_queries_dropped_parse_failure: int = 0
num_queries_missing_table: int = 0 # Can be due to pattern filter
num_queries_duplicate_table: int = 0

12
metadata-ingestion/src/datahub/ingestion/source/unity/usage.py
View File

@ -22,6 +22,7 @@ from datahub.ingestion.source.unity.proxy_types import (
from datahub.ingestion.source.unity.report import UnityCatalogReport
from datahub.ingestion.source.usage.usage_common import UsageAggregator
from datahub.metadata.schema_classes import OperationClass
from datahub.sql_parsing.sqlglot_utils import get_query_fingerprint
logger = logging.getLogger(__name__)
@ -76,6 +77,7 @@ class UnityCatalogUsageExtractor:
self, table_refs: Set[TableReference]
) -> Iterable[MetadataWorkUnit]:
table_map = defaultdict(list)
query_hashes = set()
for ref in table_refs:
table_map[ref.table].append(ref)
table_map[f"{ref.schema}.{ref.table}"].append(ref)
@ -85,6 +87,13 @@ class UnityCatalogUsageExtractor:
for query in self._get_queries():
self.report.num_queries += 1
with current_timer.pause():
with self.report.usage_perf_report.query_fingerprinting_timer:
query_hashes.add(
get_query_fingerprint(
query.query_text, "databricks", fast=True
)
)
self.report.num_unique_queries = len(query_hashes)
table_info = self._parse_query(query, table_map)
if table_info is not None:
if self.config.include_operational_stats:
@ -166,7 +175,8 @@ class UnityCatalogUsageExtractor:
with self.report.usage_perf_report.sql_parsing_timer:
table_info = self._parse_query_via_lineage_runner(query.query_text)
if table_info is None and query.statement_type == QueryStatementType.SELECT:
table_info = self._parse_query_via_spark_sql_plan(query.query_text)
with self.report.usage_perf_report.spark_sql_parsing_timer:
table_info = self._parse_query_via_spark_sql_plan(query.query_text)
if table_info is None:
self.report.num_queries_dropped_parse_failure += 1