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feat(meta): Create distributions meta tables #5748

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merged 6 commits into from
Apr 25, 2024
Merged

feat(meta): Create distributions meta tables #5748

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7544baf
feat(meta): Create distributions meta tables
evanh Apr 10, 2024
4cdaee8
fix storage set
evanh Apr 10, 2024
46622a1
merge
evanh Apr 18, 2024
6526374
Merge branch 'master' into evanh/feat/distributions-meta-tables
evanh Apr 23, 2024
fc5b757
use 0045
evanh Apr 23, 2024
215284f
merge
evanh Apr 24, 2024
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1 change: 1 addition & 0 deletions snuba/migrations/group_loader.py
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Original file line number Diff line number Diff line change
Expand Up @@ -338,6 +338,7 @@ def get_migrations(self) -> Sequence[str]:
"0042_rename_counters_meta_tables",
"0043_sets_meta_tables",
"0044_gauges_meta_tables",
"0045_distributions_meta_tables",
]


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192 changes: 192 additions & 0 deletions snuba/snuba_migrations/generic_metrics/0045_distributions_meta_tables.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,192 @@
from typing import Sequence

from snuba.clickhouse.columns import AggregateFunction, Column, DateTime, String, UInt
from snuba.clusters.storage_sets import StorageSetKey
from snuba.migrations import migration, operations, table_engines
from snuba.migrations.columns import MigrationModifiers as Modifiers
from snuba.migrations.operations import OperationTarget
from snuba.utils.schemas import Float


class Migration(migration.ClickhouseNodeMigration):
blocking = False
granularity = "8192"
meta_view_name = "generic_metric_distributions_meta_mv"
meta_local_table_name = "generic_metric_distributions_meta_local"
meta_dist_table_name = "generic_metric_distributions_meta_dist"
meta_table_columns: Sequence[Column[Modifiers]] = [
Column("org_id", UInt(64)),
Column("project_id", UInt(64)),
Column("use_case_id", String(Modifiers(low_cardinality=True))),
Column("metric_id", UInt(64)),
Column("tag_key", UInt(64)),
Column("timestamp", DateTime(modifiers=Modifiers(codecs=["DoubleDelta"]))),
Column("retention_days", UInt(16)),
Column("count", AggregateFunction("sum", [Float(64)])),
]

tag_value_view_name = "generic_metric_distributions_meta_tag_values_mv"
tag_value_local_table_name = "generic_metric_distributions_meta_tag_values_local"
tag_value_dist_table_name = "generic_metric_distributions_meta_tag_values_dist"
tag_value_table_columns: Sequence[Column[Modifiers]] = [
Column("project_id", UInt(64)),
Column("metric_id", UInt(64)),
Column("tag_key", UInt(64)),
Column("tag_value", String()),
Column("timestamp", DateTime(modifiers=Modifiers(codecs=["DoubleDelta"]))),
Column("retention_days", UInt(16)),
Column("count", AggregateFunction("sum", [Float(64)])),
]

storage_set_key = StorageSetKey.GENERIC_METRICS_DISTRIBUTIONS

def forwards_ops(self) -> Sequence[operations.SqlOperation]:
return [
operations.CreateTable(
storage_set=self.storage_set_key,
table_name=self.meta_local_table_name,
engine=table_engines.AggregatingMergeTree(
storage_set=self.storage_set_key,
order_by="(org_id, project_id, use_case_id, metric_id, tag_key, timestamp)",
primary_key="(org_id, project_id, use_case_id, metric_id, tag_key, timestamp)",
partition_by="toMonday(timestamp)",
settings={
"index_granularity": self.granularity,
# Since the partitions contain multiple retention periods, need to ensure
# that rows within partitions are dropped
"ttl_only_drop_parts": 0,
},
ttl="timestamp + toIntervalDay(retention_days)",
),
columns=self.meta_table_columns,
target=OperationTarget.LOCAL,
),
operations.CreateTable(
storage_set=self.storage_set_key,
table_name=self.meta_dist_table_name,
engine=table_engines.Distributed(
local_table_name=self.meta_local_table_name, sharding_key=None
),
columns=self.meta_table_columns,
target=OperationTarget.DISTRIBUTED,
),
operations.CreateMaterializedView(
storage_set=self.storage_set_key,
view_name=self.meta_view_name,
columns=self.meta_table_columns,
destination_table_name=self.meta_local_table_name,
target=OperationTarget.LOCAL,
query="""
SELECT
org_id,
project_id,
use_case_id,
metric_id,
tag_key,
toMonday(timestamp) as timestamp,
retention_days,
sumState(count_value) as count
FROM generic_metric_distributions_raw_local
ARRAY JOIN tags.key AS tag_key
WHERE record_meta = 1
GROUP BY
org_id,
project_id,
use_case_id,
metric_id,
tag_key,
timestamp,
retention_days
""",
),
operations.CreateTable(
storage_set=self.storage_set_key,
table_name=self.tag_value_local_table_name,
engine=table_engines.AggregatingMergeTree(
storage_set=self.storage_set_key,
order_by="(project_id, metric_id, tag_key, tag_value, timestamp)",
primary_key="(project_id, metric_id, tag_key, tag_value, timestamp)",
partition_by="toMonday(timestamp)",
settings={
"index_granularity": self.granularity,
# Since the partitions contain multiple retention periods, need to ensure
# that rows within partitions are dropped
"ttl_only_drop_parts": 0,
},
ttl="timestamp + toIntervalDay(retention_days)",
),
columns=self.tag_value_table_columns,
target=OperationTarget.LOCAL,
),
operations.CreateTable(
storage_set=self.storage_set_key,
table_name=self.tag_value_dist_table_name,
engine=table_engines.Distributed(
local_table_name=self.tag_value_local_table_name, sharding_key=None
),
columns=self.tag_value_table_columns,
target=OperationTarget.DISTRIBUTED,
),
operations.CreateMaterializedView(
storage_set=self.storage_set_key,
view_name=self.tag_value_view_name,
columns=self.tag_value_table_columns,
destination_table_name=self.tag_value_local_table_name,
target=OperationTarget.LOCAL,
query="""
SELECT
project_id,
metric_id,
tag_key,
tag_value,
toMonday(timestamp) as timestamp,
retention_days,
sumState(count_value) as count
FROM generic_metric_distributions_raw_local
ARRAY JOIN
tags.key AS tag_key, tags.raw_value AS tag_value
WHERE record_meta = 1
GROUP BY
project_id,
metric_id,
tag_key,
tag_value,
timestamp,
retention_days
""",
),
]

def backwards_ops(self) -> Sequence[operations.SqlOperation]:
return [
operations.DropTable(
storage_set=self.storage_set_key,
table_name=self.tag_value_view_name,
target=OperationTarget.LOCAL,
),
operations.DropTable(
storage_set=self.storage_set_key,
table_name=self.tag_value_dist_table_name,
target=OperationTarget.DISTRIBUTED,
),
operations.DropTable(
storage_set=self.storage_set_key,
table_name=self.tag_value_local_table_name,
target=OperationTarget.LOCAL,
),
operations.DropTable(
storage_set=self.storage_set_key,
table_name=self.meta_view_name,
target=OperationTarget.LOCAL,
),
operations.DropTable(
storage_set=self.storage_set_key,
table_name=self.meta_dist_table_name,
target=OperationTarget.DISTRIBUTED,
),
operations.DropTable(
storage_set=self.storage_set_key,
table_name=self.meta_local_table_name,
target=OperationTarget.LOCAL,
),
]
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