Python kafka_engineの例

コード例 #1

    PLUGIN_LOG_ENTRIES_TABLE_BASE_SQL +
    """PARTITION BY plugin_id ORDER BY (team_id, id)
{ttl_period}
SETTINGS index_granularity=512
""").format(
        table_name=PLUGIN_LOG_ENTRIES_TABLE,
        cluster=CLICKHOUSE_CLUSTER,
        extra_fields=KAFKA_COLUMNS,
        engine=PLUGIN_LOG_ENTRIES_TABLE_ENGINE(),
        ttl_period=ttl_period("timestamp", TTL_WEEKS),
    )

KAFKA_PLUGIN_LOG_ENTRIES_TABLE_SQL = lambda: PLUGIN_LOG_ENTRIES_TABLE_BASE_SQL.format(
    table_name="kafka_" + PLUGIN_LOG_ENTRIES_TABLE,
    cluster=CLICKHOUSE_CLUSTER,
    engine=kafka_engine(topic=KAFKA_PLUGIN_LOG_ENTRIES),
    extra_fields="",
)

PLUGIN_LOG_ENTRIES_TABLE_MV_SQL = """
CREATE MATERIALIZED VIEW {table_name}_mv ON CLUSTER '{cluster}'
TO {database}.{table_name}
AS SELECT
id,
team_id,
plugin_id,
plugin_config_id,
timestamp,
source,
type,
message,

コード例 #2

    + """ORDER BY (id, event_uuid, distinct_id, team_id)
{ttl_period}
SETTINGS index_granularity=512
"""
).format(
    table_name=DEAD_LETTER_QUEUE_TABLE,
    cluster=CLICKHOUSE_CLUSTER,
    extra_fields=KAFKA_COLUMNS,
    engine=DEAD_LETTER_QUEUE_TABLE_ENGINE(),
    ttl_period=ttl_period("_timestamp", 4),  # 4 weeks
)

KAFKA_DEAD_LETTER_QUEUE_TABLE_SQL = lambda: DEAD_LETTER_QUEUE_TABLE_BASE_SQL.format(
    table_name="kafka_" + DEAD_LETTER_QUEUE_TABLE,
    cluster=CLICKHOUSE_CLUSTER,
    engine=kafka_engine(topic=KAFKA_DEAD_LETTER_QUEUE),
    extra_fields="",
)

DEAD_LETTER_QUEUE_TABLE_MV_SQL = """
CREATE MATERIALIZED VIEW IF NOT EXISTS {table_name}_mv ON CLUSTER {cluster}
TO {database}.{table_name}
AS SELECT
id,
event_uuid,
event,
properties,
distinct_id,
team_id,
elements_chain,
created_at,

コード例 #3

GROUPS_TABLE_ENGINE = lambda: ReplacingMergeTree(GROUPS_TABLE, ver="_timestamp")
GROUPS_TABLE_SQL = lambda: (
    GROUPS_TABLE_BASE_SQL
    + """Order By (team_id, group_type_index, group_key)
{storage_policy}
"""
).format(
    table_name=GROUPS_TABLE,
    cluster=CLICKHOUSE_CLUSTER,
    engine=GROUPS_TABLE_ENGINE(),
    extra_fields=KAFKA_COLUMNS,
    storage_policy=STORAGE_POLICY(),
)

KAFKA_GROUPS_TABLE_SQL = lambda: GROUPS_TABLE_BASE_SQL.format(
    table_name="kafka_" + GROUPS_TABLE, cluster=CLICKHOUSE_CLUSTER, engine=kafka_engine(KAFKA_GROUPS), extra_fields="",
)

# You must include the database here because of a bug in clickhouse
# related to https://github.com/ClickHouse/ClickHouse/issues/10471
GROUPS_TABLE_MV_SQL = f"""
CREATE MATERIALIZED VIEW {GROUPS_TABLE}_mv ON CLUSTER '{CLICKHOUSE_CLUSTER}'
TO {CLICKHOUSE_DATABASE}.{GROUPS_TABLE}
AS SELECT
group_type_index,
group_key,
created_at,
team_id,
group_properties,
_timestamp,
_offset

コード例 #4

ファイル: groups.py プロジェクト: PostHog/posthog

                                                 ver="_timestamp")
GROUPS_TABLE_SQL = lambda: (GROUPS_TABLE_BASE_SQL +
                            """Order By (team_id, group_type_index, group_key)
{storage_policy}
""").format(
                                table_name=GROUPS_TABLE,
                                cluster=CLICKHOUSE_CLUSTER,
                                engine=GROUPS_TABLE_ENGINE(),
                                extra_fields=KAFKA_COLUMNS,
                                storage_policy=STORAGE_POLICY(),
                            )

KAFKA_GROUPS_TABLE_SQL = lambda: GROUPS_TABLE_BASE_SQL.format(
    table_name="kafka_" + GROUPS_TABLE,
    cluster=CLICKHOUSE_CLUSTER,
    engine=kafka_engine(KAFKA_GROUPS),
    extra_fields="",
)

# You must include the database here because of a bug in clickhouse
# related to https://github.com/ClickHouse/ClickHouse/issues/10471
GROUPS_TABLE_MV_SQL = f"""
CREATE MATERIALIZED VIEW {GROUPS_TABLE}_mv ON CLUSTER '{CLICKHOUSE_CLUSTER}'
TO {CLICKHOUSE_DATABASE}.{GROUPS_TABLE}
AS SELECT
group_type_index,
group_key,
created_at,
team_id,
group_properties,
_timestamp,

コード例 #5

ORDER BY (team_id, toHour(timestamp), session_id, timestamp, uuid)
{ttl_period}
SETTINGS index_granularity=512
""").format(
        table_name=SESSION_RECORDING_EVENTS_DATA_TABLE(),
        cluster=settings.CLICKHOUSE_CLUSTER,
        materialized_columns=SESSION_RECORDING_EVENTS_MATERIALIZED_COLUMNS,
        extra_fields=KAFKA_COLUMNS,
        engine=SESSION_RECORDING_EVENTS_DATA_TABLE_ENGINE(),
        ttl_period=ttl_period(),
    )

KAFKA_SESSION_RECORDING_EVENTS_TABLE_SQL = lambda: SESSION_RECORDING_EVENTS_TABLE_BASE_SQL.format(
    table_name="kafka_session_recording_events",
    cluster=settings.CLICKHOUSE_CLUSTER,
    engine=kafka_engine(topic=KAFKA_SESSION_RECORDING_EVENTS),
    materialized_columns="",
    extra_fields=KAFKA_COLUMNS,
)

SESSION_RECORDING_EVENTS_TABLE_MV_SQL = lambda: """
CREATE MATERIALIZED VIEW session_recording_events_mv ON CLUSTER {cluster}
TO {database}.{target_table}
AS SELECT
uuid,
timestamp,
team_id,
distinct_id,
session_id,
window_id,
snapshot_data,

コード例 #6

ファイル: events.py プロジェクト: akbansa/posthog

{storage_policy}
""").format(
        table_name=EVENTS_DATA_TABLE(),
        cluster=settings.CLICKHOUSE_CLUSTER,
        engine=EVENTS_DATA_TABLE_ENGINE(),
        extra_fields=KAFKA_COLUMNS,
        materialized_columns=EVENTS_TABLE_MATERIALIZED_COLUMNS,
        sample_by="SAMPLE BY cityHash64(distinct_id)",
        storage_policy=STORAGE_POLICY(),
    )

KAFKA_EVENTS_TABLE_SQL = lambda: EVENTS_TABLE_BASE_SQL.format(
    table_name="kafka_events",
    cluster=settings.CLICKHOUSE_CLUSTER,
    engine=kafka_engine(topic=KAFKA_EVENTS,
                        serialization="Protobuf",
                        proto_schema="events:Event"),
    extra_fields="",
    materialized_columns="",
)

# You must include the database here because of a bug in clickhouse
# related to https://github.com/ClickHouse/ClickHouse/issues/10471
EVENTS_TABLE_MV_SQL = lambda: """
CREATE MATERIALIZED VIEW events_mv ON CLUSTER {cluster}
TO {database}.{target_table}
AS SELECT
uuid,
event,
properties,
timestamp,

コード例 #7

ファイル: person.py プロジェクト: akbansa/posthog

PERSONS_TABLE_ENGINE = lambda: ReplacingMergeTree(PERSONS_TABLE,
                                                  ver="_timestamp")
PERSONS_TABLE_SQL = lambda: (PERSONS_TABLE_BASE_SQL + """Order By (team_id, id)
{storage_policy}
""").format(
    table_name=PERSONS_TABLE,
    cluster=CLICKHOUSE_CLUSTER,
    engine=PERSONS_TABLE_ENGINE(),
    extra_fields=KAFKA_COLUMNS,
    storage_policy=STORAGE_POLICY(),
)

KAFKA_PERSONS_TABLE_SQL = lambda: PERSONS_TABLE_BASE_SQL.format(
    table_name="kafka_" + PERSONS_TABLE,
    cluster=CLICKHOUSE_CLUSTER,
    engine=kafka_engine(KAFKA_PERSON),
    extra_fields="",
)

# You must include the database here because of a bug in clickhouse
# related to https://github.com/ClickHouse/ClickHouse/issues/10471
PERSONS_TABLE_MV_SQL = """
CREATE MATERIALIZED VIEW {table_name}_mv ON CLUSTER {cluster}
TO {database}.{table_name}
AS SELECT
id,
created_at,
team_id,
properties,
is_identified,
is_deleted,

コード例 #8

PERSONS_TABLE_ENGINE = lambda: ReplacingMergeTree(PERSONS_TABLE, ver="_timestamp")
PERSONS_TABLE_SQL = lambda: (
    PERSONS_TABLE_BASE_SQL
    + """Order By (team_id, id)
{storage_policy}
"""
).format(
    table_name=PERSONS_TABLE,
    cluster=CLICKHOUSE_CLUSTER,
    engine=PERSONS_TABLE_ENGINE(),
    extra_fields=KAFKA_COLUMNS,
    storage_policy=STORAGE_POLICY(),
)

KAFKA_PERSONS_TABLE_SQL = lambda: PERSONS_TABLE_BASE_SQL.format(
    table_name="kafka_" + PERSONS_TABLE, cluster=CLICKHOUSE_CLUSTER, engine=kafka_engine(KAFKA_PERSON), extra_fields="",
)

# You must include the database here because of a bug in clickhouse
# related to https://github.com/ClickHouse/ClickHouse/issues/10471
PERSONS_TABLE_MV_SQL = """
CREATE MATERIALIZED VIEW {table_name}_mv ON CLUSTER '{cluster}'
TO {database}.{table_name}
AS SELECT
id,
created_at,
team_id,
properties,
is_identified,
is_deleted,
_timestamp,