我正在使用Apache Beam Java SDK来处理事件并将它们写入Clickhouse数据库。幸运的是,现在已经可以使用了。
ClickhouseIO累积元素并批量插入它们,但是由于管道的并行特性,在我的例子中,它仍然导致每秒大量的插入。我经常在Clickhouse中收到"DB::Exception: Too much“或"DB::Exception: Too much queries”。
Clickhouse文档每秒执行1次插入。有没有一种方法可以用ClickhouseIO确保这一点?也许在ClickhouseIO.Write之前做一些KV分组或者别的什么?
Validating logstash-output-clickhouse-0.1.0.gem
Installing logstash-output-clickhouse
Plugin version conflict, aborting
ERROR: Installation Aborted, message: Bundler could not find compatible versions for gem "logstash-mixin-http_client":
In snapshot (Gemfile.lock):
logstash-mixin-http
当我从码头图像安装yandex点击室时,我有异常情况。
docker run -it --rm --link some-clickhouse-server:clickhouse-server yandex/clickhouse-client --host clickhouse-server
docker logs 54aa87e92a2c Include not found: clickhouse_remote_servers Include not found: clickhouse_compression POCO ERROR: Exception: Could not dete
我已经在wsl2上运行的clickhouse-server上加载了on数据集。服务器端一切正常,但是clickhouse-client突然开始占用大量内存,这在给定的htop输出中很明显。 ? 当仅执行简单的group by查询时, select year,count(1) from datasets.ontime group by year 我不得不关闭wsl才能从中恢复。 如果我做错了什么,请让我知道! 注意:我已经将ontime数据集的分区指令更改为年和ORIGINSTATE,即:PARTITION BY (Year,OriginState) Clickhouse版本: 21.
我试图计算每个IP地址在Clickhouse中错误事务状态的百分比。
SELECT
c.source_ip,
COUNT(c.source_ip) AS total,
(COUNT(c.source_ip) / t.total_calls) * 100 AS percent_faulty
FROM sip_transaction_call AS c
CROSS JOIN
(
SELECT count(*) AS total_calls
FROM sip_transaction_call
) AS t
WHERE (status = 8 OR status
在ClickHouse中有没有办法使用时间戳值按日/月/年()进行分组?在将MySQL查询重写为ClickHouse时,很难弄清楚。我的MySQL查询看起来像这样...
SELECT COUNT(this), COUNT(that) FROM table WHERE something = x AND stamp BETWEEN startdate AND enddate
SELECT COUNT(this), COUNT(that) FROM table WHERE something = x AND stamp BETWEEN startdate AND enddate GROUP BY