Batuhan Bayrakci baybatu

If you got following error when you try to run your Flink job on local.

Caused by: java.lang.ClassNotFoundException: org.apache.flink.api.scala.typeutils.CaseClassTypeInfo

Then change your provided scoped Flink dependencies to compile scope.

On IntelliJ it can be done using Project Structure window:

Assuming SPARK_HOME=/spark246

Put logback.xml into $SPARK_HOME/conf
Create additionaljars directory under $SPARK_HOME
Download required logback and logback-gelf related jars into additionaljars directory
- log4j-over-slf4j-1.7.30.jar
- logback-core-1.2.3.jar
- logback-classic-1.2.3.jar
- logback-gelf-2.2.0.jar
Tell Spark to use custom jar folder additionaljars as primarily classpath folder using following spark-submit parameters:

git tag VERSION
git push origin tag VERSION
pod trunk push

MJML responsive email templateler için bir markup dili.

İşin güzel yanı outlook, gmail gibi client bazlı css vs yazmamız gereken yerler için de kullanılabilir.

https://mjml.io/

Kaynak: https://twitter.com/simtoalev/status/1272912198193614849

Kowl: https://github.com/cloudhut/kowl
Conduktor: https://www.conduktor.io

import com.twitter.finagle.http2.param.FrameLoggerNamePrefix
val service =
        Http
          .client
          .withLabel("service-label")
          .configured(FrameLoggerNamePrefix(this.getClass.getName))
          .withHttp2
          .newService("localhost:8080")

Run shell in a container without running entrypoint script set by the image build

docker run -it --entrypoint sh IMAGE_NAME

Sources

Required jars:

log4j2 (comes with flink)
log4j2-logstash-layout (https://github.com/vy/log4j2-logstash-layout)
jackson-core (my version is 2.12.0)
jackson-databind (my version is 2.12.0)
jackson-annotations (my version is 2.12.0)

Note: It seems that since Log4j 2.14.0, we do not need to add jackson dependencies according to log4j documentation. However I need to stick with log4j2 version comes with Flink for now, so I have not tested it yet.

curl --location --request POST 'https://oauth-login.cloud.huawei.com/oauth2/v3/token' \
  --header 'Content-Type: application/x-www-form-urlencoded' \
  --data-urlencode 'grant_type=client_credentials' \
  --data-urlencode 'client_secret=CLIENT_SECRET' \
  --data-urlencode 'client_id=CLIENT_ID'

CLIENT_SECRET: 'App Secret' field on Huawei UI

	#!/bin/bash
	sudo kill -9 `ps ax\|grep 'coreaudio[a-z]' \| awk '{print $1}'