webapps/console/prisma/metrics.sql
Rama newjitsu · réplica de lectura del repositorio original.
-- not managed by prisma
create table newjitsu_metrics.active_incoming on cluster `jitsu-cluster`
(
timestamp DateTime,
workspaceId LowCardinality(String),
messageId String
)
engine = Null;
CREATE TABLE newjitsu_metrics.active_incoming_agg on cluster `jitsu-cluster`
(
`workspaceId` LowCardinality(String),
`timestamp` DateTime,
`insertedAt` DateTime DEFAULT now(),
`count` UInt64
)
ENGINE = ReplacingMergeTree() ORDER BY (workspaceId, timestamp)
PARTITION BY toYYYYMM(timestamp)
;
CREATE MATERIALIZED VIEW newjitsu_metrics.mv_active_incoming_agg on cluster `jitsu-cluster`
REFRESH EVERY 5 MINUTE APPEND TO newjitsu_metrics.active_incoming_agg AS
select
workspaceId,
timestamp,
now() as insertedAt,
uniqMerge(count) as "count"
from newjitsu_metrics.mv_active_incoming2
where
timestamp >= date_trunc('day', now() - interval 3 day)
group by workspaceId, timestamp order by workspaceId, timestamp;
CREATE VIEW newjitsu_metrics.active_incoming_agg_view ON CLUSTER `jitsu-cluster` as select
timestamp,
workspaceId,
count
from newjitsu_metrics.active_incoming_agg
ORDER BY workspaceId, timestamp DESC, insertedAt DESC
LIMIT 1 BY workspaceId, timestamp;
CREATE MATERIALIZED VIEW newjitsu_metrics.mv_active_incoming2 on cluster `jitsu-cluster`
(
`workspaceId` LowCardinality(String),
`timestamp` DateTime,
`count` AggregateFunction(uniq, String)
)
ENGINE = ReplicatedAggregatingMergeTree('/clickhouse/tables/{shard}/newjitsu_metrics/mv_active_incoming2_0',
'{replica}')
ORDER BY (workspaceId, timestamp)
PARTITION BY toYYYYMM(timestamp)
SETTINGS index_granularity = 8192
AS
SELECT
workspaceId,
timestamp,
uniqState(messageId) AS count
FROM newjitsu_metrics.active_incoming
GROUP BY
workspaceId,
timestamp;
create table newjitsu_metrics.mv_active_incoming3 on cluster `jitsu-cluster`
(
`workspaceId` LowCardinality(String),
`timestamp` DateTime,
`messageId` String
)
engine = ReplicatedReplacingMergeTree('/clickhouse/tables/{shard}/newjitsu_metrics/mv_active_incoming3_1', '{replica}')
ORDER BY (workspaceId, timestamp, messageId)
PRIMARY KEY (workspaceId, timestamp)
PARTITION BY toYYYYMM(timestamp)
;
--drop table newjitsu_metrics.mv_active_incoming3 on cluster `jitsu-cluster`;
--drop view newjitsu_metrics.to_mv_active_incoming3 on cluster `jitsu-cluster`;
CREATE MATERIALIZED VIEW newjitsu_metrics.to_mv_active_incoming3 on cluster `jitsu-cluster`
TO newjitsu_metrics.mv_active_incoming3
(
`workspaceId` LowCardinality(String),
`timestamp` DateTime,
`messageId` String
)
AS
SELECT
workspaceId,
timestamp,
messageId
FROM newjitsu_metrics.active_incoming;
CREATE TABLE IF NOT EXISTS newjitsu_metrics.metrics on cluster `jitsu-cluster`
(
timestamp DateTime,
messageId String,
workspaceId LowCardinality(String),
streamId LowCardinality(String),
connectionId LowCardinality(String),
functionId LowCardinality(String),
destinationId LowCardinality(String),
status LowCardinality(String),
events Int64,
eventIndex UInt32
)
ENGINE = Null;
create table newjitsu_metrics.mv_metrics on cluster `jitsu-cluster`
(
timestamp DateTime,
workspaceId LowCardinality(String),
streamId LowCardinality(String),
connectionId LowCardinality(String),
functionId LowCardinality(String),
destinationId LowCardinality(String),
status LowCardinality(String),
events AggregateFunction(sum, Int64)
)
engine = ReplicatedAggregatingMergeTree('/clickhouse/tables/{shard}/newjitsu_metrics/mv_metrics', '{replica}')
ORDER BY (timestamp, workspaceId, streamId, connectionId, functionId, destinationId, status)
SETTINGS index_granularity = 8192;
CREATE MATERIALIZED VIEW newjitsu_metrics.to_mv_metrics on cluster `jitsu-cluster`
TO newjitsu_metrics.mv_metrics
(
`timestamp` DateTime,
`workspaceId` LowCardinality(String),
`streamId` LowCardinality(String),
`connectionId` LowCardinality(String),
`functionId` LowCardinality(String),
`destinationId` LowCardinality(String),
`status` LowCardinality(String),
`events` AggregateFunction(sum, Int64)
)
AS
SELECT
date_trunc('minute', timestamp) as timestamp,
workspaceId,
streamId,
connectionId,
functionId,
destinationId,
status,
sumState(events) AS events
FROM newjitsu_metrics.metrics
GROUP BY
timestamp,
workspaceId,
streamId,
connectionId,
functionId,
destinationId,
status;