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posthog/ee/clickhouse/materialized_columns/columns.py

320 lines
12 KiB
Python

from __future__ import annotations
import re
from collections.abc import Iterator
from dataclasses import dataclass, replace
from datetime import timedelta
from typing import Literal, NamedTuple, cast
from clickhouse_driver.errors import ServerException
from django.utils.timezone import now
from posthog.clickhouse.kafka_engine import trim_quotes_expr
from posthog.clickhouse.materialized_columns import ColumnName, TablesWithMaterializedColumns
from posthog.client import sync_execute
from posthog.models.instance_setting import get_instance_setting
from posthog.models.property import PropertyName, TableColumn, TableWithProperties
from posthog.models.utils import generate_random_short_suffix
from posthog.settings import CLICKHOUSE_CLUSTER, CLICKHOUSE_DATABASE, TEST
DEFAULT_TABLE_COLUMN: Literal["properties"] = "properties"
TRIM_AND_EXTRACT_PROPERTY = trim_quotes_expr("JSONExtractRaw({table_column}, %(property)s)")
SHORT_TABLE_COLUMN_NAME = {
"properties": "p",
"group_properties": "gp",
"person_properties": "pp",
"group0_properties": "gp0",
"group1_properties": "gp1",
"group2_properties": "gp2",
"group3_properties": "gp3",
"group4_properties": "gp4",
}
class MaterializedColumn(NamedTuple):
name: ColumnName
details: MaterializedColumnDetails
@staticmethod
def get_all(table: TablesWithMaterializedColumns) -> Iterator[MaterializedColumn]:
rows = sync_execute(
"""
SELECT name, comment
FROM system.columns
WHERE database = %(database)s
AND table = %(table)s
AND comment LIKE '%%column_materializer::%%'
AND comment not LIKE '%%column_materializer::elements_chain::%%'
""",
{"database": CLICKHOUSE_DATABASE, "table": table},
)
for name, comment in rows:
yield MaterializedColumn(name, MaterializedColumnDetails.from_column_comment(comment))
@staticmethod
def get(table: TablesWithMaterializedColumns, column_name: ColumnName) -> MaterializedColumn:
# TODO: It would be more efficient to push the filter here down into the `get_all` query, but that would require
# more a sophisticated method of constructing queries than we have right now, and this data set should be small
# enough that this doesn't really matter (at least as of writing.)
columns = [column for column in MaterializedColumn.get_all(table) if column.name == column_name]
match columns:
case []:
raise ValueError("column does not exist")
case [column]:
return column
case _:
# this should never happen (column names are unique within a table) and suggests an error in the query
raise ValueError(f"got {len(columns)} columns, expected 0 or 1")
@dataclass(frozen=True)
class MaterializedColumnDetails:
table_column: TableColumn
property_name: PropertyName
is_disabled: bool
COMMENT_PREFIX = "column_materializer"
COMMENT_SEPARATOR = "::"
COMMENT_DISABLED_MARKER = "disabled"
def as_column_comment(self) -> str:
bits = [self.COMMENT_PREFIX, self.table_column, self.property_name]
if self.is_disabled:
bits.append(self.COMMENT_DISABLED_MARKER)
return self.COMMENT_SEPARATOR.join(bits)
@classmethod
def from_column_comment(cls, comment: str) -> MaterializedColumnDetails:
match comment.split(cls.COMMENT_SEPARATOR, 3):
# Old style comments have the format "column_materializer::property", dealing with the default table column.
case [cls.COMMENT_PREFIX, property_name]:
return MaterializedColumnDetails(DEFAULT_TABLE_COLUMN, property_name, is_disabled=False)
# Otherwise, it's "column_materializer::table_column::property" for columns that are active.
case [cls.COMMENT_PREFIX, table_column, property_name]:
return MaterializedColumnDetails(cast(TableColumn, table_column), property_name, is_disabled=False)
# Columns that are marked as disabled have an extra trailer indicating their status.
case [cls.COMMENT_PREFIX, table_column, property_name, cls.COMMENT_DISABLED_MARKER]:
return MaterializedColumnDetails(cast(TableColumn, table_column), property_name, is_disabled=True)
case _:
raise ValueError(f"unexpected comment format: {comment!r}")
def get_materialized_columns(
table: TablesWithMaterializedColumns,
exclude_disabled_columns: bool = False,
) -> dict[tuple[PropertyName, TableColumn], ColumnName]:
if not get_instance_setting("MATERIALIZED_COLUMNS_ENABLED"):
return {}
return {
(column.details.property_name, column.details.table_column): column.name
for column in MaterializedColumn.get_all(table)
if not (exclude_disabled_columns and column.details.is_disabled)
}
def get_on_cluster_clause_for_table(table: TableWithProperties) -> str:
return f"ON CLUSTER '{CLICKHOUSE_CLUSTER}'" if table == "events" else ""
def materialize(
table: TableWithProperties,
property: PropertyName,
column_name: ColumnName | None = None,
table_column: TableColumn = DEFAULT_TABLE_COLUMN,
create_minmax_index=not TEST,
) -> ColumnName | None:
if (property, table_column) in get_materialized_columns(table):
if TEST:
return None
raise ValueError(f"Property already materialized. table={table}, property={property}, column={table_column}")
if table_column not in SHORT_TABLE_COLUMN_NAME:
raise ValueError(f"Invalid table_column={table_column} for materialisation")
column_name = column_name or _materialized_column_name(table, property, table_column)
on_cluster = get_on_cluster_clause_for_table(table)
if table == "events":
sync_execute(
f"""
ALTER TABLE sharded_{table} {on_cluster}
ADD COLUMN IF NOT EXISTS
{column_name} VARCHAR MATERIALIZED {TRIM_AND_EXTRACT_PROPERTY.format(table_column=table_column)}
""",
{"property": property},
settings={"alter_sync": 2 if TEST else 1},
)
sync_execute(
f"""
ALTER TABLE {table} {on_cluster}
ADD COLUMN IF NOT EXISTS
{column_name} VARCHAR
""",
settings={"alter_sync": 2 if TEST else 1},
)
else:
sync_execute(
f"""
ALTER TABLE {table} {on_cluster}
ADD COLUMN IF NOT EXISTS
{column_name} VARCHAR MATERIALIZED {TRIM_AND_EXTRACT_PROPERTY.format(table_column=table_column)}
""",
{"property": property},
settings={"alter_sync": 2 if TEST else 1},
)
sync_execute(
f"ALTER TABLE {table} {on_cluster} COMMENT COLUMN {column_name} %(comment)s",
{"comment": MaterializedColumnDetails(table_column, property, is_disabled=False).as_column_comment()},
settings={"alter_sync": 2 if TEST else 1},
)
if create_minmax_index:
add_minmax_index(table, column_name)
return column_name
def update_column_is_disabled(table: TablesWithMaterializedColumns, column_name: str, is_disabled: bool) -> None:
details = replace(
MaterializedColumn.get(table, column_name).details,
is_disabled=is_disabled,
)
on_cluster = get_on_cluster_clause_for_table(table)
sync_execute(
f"ALTER TABLE {table} {on_cluster} COMMENT COLUMN {column_name} %(comment)s",
{"comment": details.as_column_comment()},
settings={"alter_sync": 2 if TEST else 1},
)
def drop_column(table: TablesWithMaterializedColumns, column_name: str) -> None:
drop_minmax_index(table, column_name)
on_cluster = get_on_cluster_clause_for_table(table)
sync_execute(
f"ALTER TABLE {table} {on_cluster} DROP COLUMN IF EXISTS {column_name}",
settings={"alter_sync": 2 if TEST else 1},
)
if table == "events":
sync_execute(
f"ALTER TABLE sharded_{table} {on_cluster} DROP COLUMN IF EXISTS {column_name}",
{"property": property},
settings={"alter_sync": 2 if TEST else 1},
)
def add_minmax_index(table: TablesWithMaterializedColumns, column_name: ColumnName):
# Note: This will be populated on backfill
on_cluster = get_on_cluster_clause_for_table(table)
updated_table = "sharded_events" if table == "events" else table
index_name = f"minmax_{column_name}"
try:
sync_execute(
f"""
ALTER TABLE {updated_table} {on_cluster}
ADD INDEX {index_name} {column_name}
TYPE minmax GRANULARITY 1
""",
settings={"alter_sync": 2 if TEST else 1},
)
except ServerException as err:
if "index with this name already exists" not in str(err):
raise
return index_name
def drop_minmax_index(table: TablesWithMaterializedColumns, column_name: ColumnName) -> None:
on_cluster = get_on_cluster_clause_for_table(table)
# XXX: copy/pasted from `add_minmax_index`
updated_table = "sharded_events" if table == "events" else table
index_name = f"minmax_{column_name}"
sync_execute(
f"ALTER TABLE {updated_table} {on_cluster} DROP INDEX IF EXISTS {index_name}",
settings={"alter_sync": 2 if TEST else 1},
)
def backfill_materialized_columns(
table: TableWithProperties,
properties: list[tuple[PropertyName, TableColumn]],
backfill_period: timedelta,
test_settings=None,
) -> None:
"""
Backfills the materialized column after its creation.
This will require reading and writing a lot of data on clickhouse disk.
"""
if len(properties) == 0:
return
updated_table = "sharded_events" if table == "events" else table
on_cluster = get_on_cluster_clause_for_table(table)
materialized_columns = get_materialized_columns(table)
# Hack from https://github.com/ClickHouse/ClickHouse/issues/19785
# Note that for this to work all inserts should list columns explicitly
# Improve this if https://github.com/ClickHouse/ClickHouse/issues/27730 ever gets resolved
for property, table_column in properties:
sync_execute(
f"""
ALTER TABLE {updated_table} {on_cluster}
MODIFY COLUMN
{materialized_columns[(property, table_column)]} VARCHAR DEFAULT {TRIM_AND_EXTRACT_PROPERTY.format(table_column=table_column)}
""",
{"property": property},
settings=test_settings,
)
# Kick off mutations which will update clickhouse partitions in the background. This will return immediately
assignments = ", ".join(
f"{materialized_columns[property_and_column]} = {materialized_columns[property_and_column]}"
for property_and_column in properties
)
sync_execute(
f"""
ALTER TABLE {updated_table} {on_cluster}
UPDATE {assignments}
WHERE {"timestamp > %(cutoff)s" if table == "events" else "1 = 1"}
""",
{"cutoff": (now() - backfill_period).strftime("%Y-%m-%d")},
settings=test_settings,
)
def _materialized_column_name(
table: TableWithProperties,
property: PropertyName,
table_column: TableColumn = DEFAULT_TABLE_COLUMN,
) -> ColumnName:
"Returns a sanitized and unique column name to use for materialized column"
prefix = "pmat_" if table == "person" else "mat_"
if table_column != DEFAULT_TABLE_COLUMN:
prefix += f"{SHORT_TABLE_COLUMN_NAME[table_column]}_"
property_str = re.sub("[^0-9a-zA-Z$]", "_", property)
existing_materialized_columns = set(get_materialized_columns(table).values())
suffix = ""
while f"{prefix}{property_str}{suffix}" in existing_materialized_columns:
suffix = "_" + generate_random_short_suffix()
return f"{prefix}{property_str}{suffix}"