def run_optimize(
clickhouse: ClickhousePool,
storage: ReadableTableStorage,
database: str,
before: Optional[datetime] = None,
ignore_cutoff: bool = False,
parallel: int = 1,
clickhouse_host: Optional[str] = None,
) -> int:
start = time.time()
schema = storage.get_schema()
assert isinstance(schema, TableSchema)
table = schema.get_local_table_name()
database = storage.get_cluster().get_database()
parts = get_partitions_to_optimize(clickhouse, storage, database, table,
before)
optimize_partition_runner(clickhouse, database, table, parts,
ignore_cutoff, parallel, clickhouse_host)
metrics.timing(
"optimized_all_parts",
time.time() - start,
tags=_get_metrics_tags(table, clickhouse_host),
)
return len(parts)
def run_optimize(
clickhouse: ClickhousePool,
storage: ReadableTableStorage,
database: str,
before: Optional[datetime] = None,
) -> int:
schema = storage.get_schema()
assert isinstance(schema, TableSchema)
table = schema.get_local_table_name()
database = storage.get_cluster().get_database()
parts = get_partitions_to_optimize(clickhouse, storage, database, table,
before)
optimize_partitions(clickhouse, database, table, parts)
return len(parts)