sh腳本在docker容器中不起作用

Question

我在docker容器中運行.sh腳本時遇到問題。 它給了我：

ml_1 | 2018-08-02 08：31：32,680信息生成：帶有pid 18的'datagrid'

ml_1 | 2018-08-02 08：31：32,686信息退出：datagrid（退出狀態127;預計不到）

ml_1 | 2018-08-02 08：31：38,732信息放棄了：datagrid進入了致命狀態，太多的啟動重試太快了

我的劇本：

#!/bin/bash

# Description: 

LIB=/home/com/com_server/lib
CONFIG=/home/com/com_server/config
JAVA="/usr/bin/java"
CLASSPATH=${CONFIG}:blackBoard.xml:${CONFIG}:hazelcastContext.xml:${CONFIG}:comAppConfig.xml:${LIB}:com-calc-0.0.1.jar:${LIB}:com-common-0.0.1.jar:${LIB}:com-hazelcast-0.0.1-jar-with-dependencies.jar:${LIB}:escomled-server-0.0.1.jar:${LIB}:spring-webmvc-4.3.0.RELEASE.jar:${LIB}:spring-jdbc-4.3.0.RELEASE.jar:${LIB}:spring-context-4.3.0.RELEASE.jar:${LIB}:hazelcast-spring-3.7.2.jar:${LIB}:hazelcast-client-3.8.3.jar:${LIB}:hazelcast-spring-3.8.3.jar:${LIB}:hazelcast-all-3.8.3.jar:${LIB}:hazelcast-3.8.3.jar:${LIB}:spring-core-4.3.0.RELEASE.jar:${LIB}:spring-beans-4.3.0.RELEASE.jar:${LIB}:log4j-1.2.16.jar:${LIB}:commons-logging-1.2.jar:${LIB}:spring-asm-4.3.0.RELEASE.jar:${LIB}:spring-expression-4.3.0.RELEASE.jar:${LIB}:mysql-connector-java-5.1.34.jar:${LIB}:spring-tx-4.3.0.RELEASE.jar:${LIB}:commons-lang-2.6.jar:${LIB}:mail-1.4.1.jar:${LIB}:commons-digester-2.0.jar:${LIB}:commons-codec-1.4.jar:${LIB}:slf4j-log4j12-1.5.10.jar:${LIB}:slf4j-api-1.5.10.jar:${LIB}:config/createClient.sql:${LIB}:commons-fileupload-1.2.jar:${LIB}:commons-io-1.4.jar:${LIB}:spring-web-4.3.0.RELEASE.jar:${LIB}:opencsv-2.3.jar:${LIB}:spring-aop-4.3.0.RELEASE.jar:${LIB}:aopalliance-1.0.jar:${LIB}:pdfbox-1.8.9.jar:${LIB}:fontbox-1.8.9.jar:${LIB}:jempbox-1.8.9.jar:${LIB}:imgscalr-lib-4.2.jar:${LIB}:dom4j-1.6.1.jar:${LIB}:xmlbeans-2.6.0.jar:${LIB}:jasypt-1.9.2.jar:${LIB}:jackson-mapper-asl-1.9.4.jar:${LIB}:jackson-core-asl-1.9.4.jar:${LIB}:jackson-jaxrs-1.9.4.jar:${LIB}:cglib-2.2.2.jar:${LIB}:asm-3.3.1.jar:${LIB}:textmagic-java-sdk-1.2.0.jar:${LIB}:httpclient-4.5.5.jar:${LIB}:commons-dbcp2-2.3.0.jar:${LIB}:commons-pool2-2.5.0.jar:${LIB}:poi-3.17.jar:${LIB}:poi-ooxml-3.17.jar:${LIB}:commons-collections4-4.1.jar:${LIB}:poi-ooxml-schemas-3.17.jar
SERVER_NAME="com_datagrid"
SLOG_NAME="com_datagrid"
PID_FILE="/var/run/${SLOG_NAME}.pid"
MEMORY="512";
ARGS="-Djava.awt.headless=true -Xmx1024M -Dcom.sun.management.jmxremote=true \
                  -Dcom.sun.management.jmxremote.port=9092 \
                  -Dcom.sun.management.jmxremote.ssl=false \
                  -Dcom.sun.management.jmxremote.authenticate=false \
                  -Djava.rmi.server.hostname=10.72.4.13 -Dhazelcast.diagnostics.enabled=true -Dhazelcast.diagnostics.metric.level=info -Dhazelcast.diagnostics.invocation.sample.period.seconds=30 -Dhazelcast.diagnostics.pending.invocations.period.seconds=30 -Dhazelcast.diagnostics.slowoperations.period.seconds=30"
start() {
     tput setaf 2;echo "---- STARTING *** com_datagrid *** DAEMON ----"
     ${JAVA} ${ARGS} -classpath "${CLASSPATH}" com.com.blackboard.main.Server &
     javaPID=$!
     tput setaf 7;echo "*** com_datagrid *** backgrounded with process id '${javaPID}'"
     #echo ${javaPID} > ${PID_FILE}
}

stop() {
   echo "STOPING *** com_datagrid ***"
   start-stop-daemon --stop \
      --pidfile ${PID_FILE}
}
restart() {
     stop
     start
}
case "$1" in
  start)
        start
        ;;
  stop)
        stop
        ;;
  restart)
        stop
        start
        ;;
esac

exit 0;

我的Dockerfile ：

#FROM maven:3.3.9-jdk-8-alpine as build-env
#COPY . /comML
#WORKDIR comML
#RUN mvn package

FROM openjdk:8-jdk-alpine
WORKDIR /comML
ADD . /comML
ADD ./MLScripts/lib comML/lib
ADD ./MLScripts/config com/config
ADD ./MLScripts/config com/home/com/com_server/config
ADD ./MLScripts comML/MLScripts
ADD target/com-machine-learning-0.0.1-SNAPSHOT-jar-with-dependencies.jar comML/lib/com-machine-learning-0.0.1-SNAPSHOT-jar-with-dependencies.jar
COPY ./MLScripts/wrapper.sh /com/MLScripts/wrapper.sh
#CMD ["export", "CLASSPATH=comML/home/com/com_server/config/blackBoard.xml;EscomledML/home/com/com_server/config/appContext.xml;comML/home/com/com_server/config/config.properties;comML/home/com/com_server/config/com.properties;comML/home/com/escomled_server/config/createClient.sql;EscomledML/home/escomled/escomled_server/config/escomled.properties;com/home/com/com_server/config/global_database.sql;comML/home/com/com_server/config/release.sql;comML/home/escomled/com_server/config/taskExecutors.xml;comML/home/com/com_server/config/test-applicationContext.xml;C:/home/com/com_server/lib/spring-jdbc-4.3.0.RELEASE.jar;C:/home/escomled/escomled_server/lib/escomled-common-0.0.1.jar;C:/home/escomled/escomled_server/lib/escomled-machine-learning-0.0.1-SNAPSHOT-jar-with-dependencies.jar;C:/home/escomled/escomled_server/lib/assertj-core-3.3.0.jar;C:/home/escomled/escomled_server/lib/curator-test-2.9.0.jar;C:/home/escomled/escomled_server/lib/h2o-genmodel-3.18.0.1.jar;C:/home/escomled/escomled_server/lib/hazelcast-all-3.8.3.jar;C:/home/escomled/escomled_server/lib/jcl-over-slf4j-1.7.1.jar;C:/home/escomled/escomled_server/lib/junit-4.12.jar;C:/home/escomled/escomled_server/lib/spring-jdbc-4.3.0.RELEASE.jar;C:/home/escomled/escomled_server/lib/spring-dao-2.0.3.jar;C:/home/escomled/escomled_server/lib/kafka_2.11-0.10.2.1-cp1.jar;C:/home/escomled/escomled_server/lib/kafka_2.11-0.10.2.1-cp1-test.jar;C:/home/escomled/escomled_server/lib/kafka-clients-0.10.2.1-cp1.jar;C:/home/escomled/escomled_server/lib/spring-context-4.3.0.RELEASE.jar;C:/home/escomled/escomled_server/lib/spring-core-4.3.0.RELEASE.jar;C:/home/escomled/escomled_server/lib/spring-tx-4.3.0.RELEASE.jar;C:/home/escomled/escomled_server/lib/hazelcast-all-3.8.3.jar;C:/home/escomled/escomled_server/lib/kafka-clients-0.10.2.1-cp1-test.jar;C:/home/escomled/escomled_server/lib/kafka-schema-registry-3.2.1.jar;C:/home/escomled/escomled_server/lib/kafka-schema-registry-3.2.1-tests.jar;C:/home/escomled/escomled_server/lib/kafka-streams-0.10.2.1-cp1.jar;C:/home/escomled/escomled_server/lib/slf4j-api-1.7.1.jar;C:/home/escomled/escomled_server/lib/slf4j-log4j12-1.7.1.jar"] 
#ENTRYPOINT ["java", "-cp", "EscomledML/home/escomled/escomled_server/config/blackBoard.xml;EscomledML/home/escomled/escomled_server/config/appContext.xml;EscomledML/home/escomled/escomled_server/config/config.properties;EscomledML/home/escomled/escomled_server/config/escomled.properties;EscomledML/home/escomled/escomled_server/config/createClient.sql;EscomledML/home/escomled/escomled_server/config/escomled.properties;EscomledML/home/escomled/escomled_server/config/global_database.sql;EscomledML/home/escomled/escomled_server/config/release.sql;EscomledML/home/escomled/escomled_server/config/taskExecutors.xml;EscomledML/home/escomled/escomled_server/config/test-applicationContext.xml;C:/home/escomled/escomled_server/lib/spring-jdbc-4.3.0.RELEASE.jar;C:/home/escomled/escomled_server/lib/escomled-common-0.0.1.jar;C:/home/escomled/escomled_server/lib/escomled-machine-learning-0.0.1-SNAPSHOT-jar-with-dependencies.jar;C:/home/escomled/escomled_server/lib/assertj-core-3.3.0.jar;C:/home/escomled/escomled_server/lib/curator-test-2.9.0.jar;C:/home/escomled/escomled_server/lib/h2o-genmodel-3.18.0.1.jar;C:/home/escomled/escomled_server/lib/hazelcast-all-3.8.3.jar;C:/home/escomled/escomled_server/lib/jcl-over-slf4j-1.7.1.jar;C:/home/escomled/escomled_server/lib/junit-4.12.jar;C:/home/escomled/escomled_server/lib/spring-jdbc-4.3.0.RELEASE.jar;C:/home/escomled/escomled_server/lib/spring-dao-2.0.3.jar;C:/home/escomled/escomled_server/lib/kafka_2.11-0.10.2.1-cp1.jar;C:/home/escomled/escomled_server/lib/kafka_2.11-0.10.2.1-cp1-test.jar;C:/home/escomled/escomled_server/lib/kafka-clients-0.10.2.1-cp1.jar;C:/home/escomled/escomled_server/lib/spring-context-4.3.0.RELEASE.jar;C:/home/escomled/escomled_server/lib/spring-core-4.3.0.RELEASE.jar;C:/home/escomled/escomled_server/lib/spring-tx-4.3.0.RELEASE.jar;C:/home/escomled/escomled_server/lib/hazelcast-all-3.8.3.jar;C:/home/escomled/escomled_server/lib/kafka-clients-0.10.2.1-cp1-test.jar;C:/home/escomled/escomled_server/lib/kafka-schema-registry-3.2.1.jar;C:/home/escomled/escomled_server/lib/kafka-schema-registry-3.2.1-tests.jar;C:/home/escomled/escomled_server/lib/kafka-streams-0.10.2.1-cp1.jar;C:/home/escomled/escomled_server/lib/slf4j-api-1.7.1.jar;C:/home/escomled/escomled_server/lib/slf4j-log4j12-1.7.1.jar", "com.escomled.machinelearning.ml.Escomled_Streams_H2O_ML"]
#CMD ["java", "-jar", "escomled-machine-learning-0.0.1-SNAPSHOT-jar-with-dependencies.jar"]
EXPOSE 8085
#ENTRYPOINT ["sh", "EscomledML/MLScripts/wrapper.sh"]
#ENTRYPOINT ["sh", "EscomledML/MLScripts/escomled_data_grid.sh"]
#CMD ["sh", "EscomledML/MLScripts/escomled_dirwatcher.sh", "&&", "sh", "EscomledML/MLScripts/escomled_startmap.sh", "&&", "sh", "EscomledML/MLScripts/escomled_ml.sh"]

FROM ubuntu:14.04
RUN apt-get update && apt-get install -y supervisor
RUN mkdir -p /var/log/supervisor
COPY supervisord.conf /etc/supervisor/conf.d/supervisord.conf
CMD /usr/bin/supervisord -n

還有我的.bat腳本：

set LIB=C:/home/escomled/escomled_server/lib
set CONFIG=C:/home/escomled/escomled_server/config
set JAVA_HOME="C:\Program Files\Java\jdk1.8.0_144"
set CLASSPATH=%CONFIG%/blackBoard.xml;%CONFIG%/hazelcastContext.xml;%CONFIG%/escomledAppConfig.xml;%LIB%/escomled-calc-0.0.1.jar;%LIB%/escomled-common-0.0.1.jar;%LIB%/escomled-hazelcast-0.0.1-jar-with-dependencies.jar;%LIB%/escomled-server-0.0.1.jar;%LIB%/spring-webmvc-4.3.0.RELEASE.jar;%LIB%/spring-jdbc-4.3.0.RELEASE.jar;%LIB%/spring-context-4.3.0.RELEASE.jar;%LIB%/hazelcast-spring-3.7.2.jar;%LIB%/hazelcast-client-3.8.3.jar;%LIB%/hazelcast-spring-3.8.3.jar;%LIB%/hazelcast-all-3.8.3.jar;%LIB%/hazelcast-3.8.3.jar;%LIB%/spring-core-4.3.0.RELEASE.jar;%LIB%/spring-beans-4.3.0.RELEASE.jar;%LIB%/log4j-1.2.16.jar;%LIB%/commons-logging-1.2.jar;%LIB%/spring-asm-4.3.0.RELEASE.jar;%LIB%/spring-expression-4.3.0.RELEASE.jar;%LIB%/mysql-connector-java-5.1.34.jar;%LIB%/spring-tx-4.3.0.RELEASE.jar;%LIB%/commons-lang-2.6.jar;%LIB%/mail-1.4.1.jar;%LIB%/commons-digester-2.0.jar;%LIB%/commons-codec-1.4.jar;%LIB%/slf4j-log4j12-1.5.10.jar;%LIB%/slf4j-api-1.5.10.jar;%LIB%/config/createClient.sql;%LIB%/commons-fileupload-1.2.jar;%LIB%/commons-io-1.4.jar;%LIB%/spring-web-4.3.0.RELEASE.jar;%LIB%/opencsv-2.3.jar;%LIB%/spring-aop-4.3.0.RELEASE.jar;%LIB%/aopalliance-1.0.jar;%LIB%/pdfbox-1.8.9.jar;%LIB%/fontbox-1.8.9.jar;%LIB%/jempbox-1.8.9.jar;%LIB%/imgscalr-lib-4.2.jar;%LIB%/dom4j-1.6.1.jar;%LIB%/xmlbeans-2.6.0.jar;%LIB%/jasypt-1.9.2.jar;%LIB%/jackson-mapper-asl-1.9.4.jar;%LIB%/jackson-core-asl-1.9.4.jar;%LIB%/jackson-jaxrs-1.9.4.jar;%LIB%/cglib-2.2.2.jar;%LIB%/asm-3.3.1.jar;%LIB%/textmagic-java-sdk-1.2.0.jar;%LIB%/httpclient-4.5.5.jar;%LIB%/commons-dbcp2-2.3.0.jar;%LIB%/commons-pool2-2.5.0.jar;%LIB%/poi-3.17.jar;%LIB%/poi-ooxml-3.17.jar;%LIB%/commons-collections4-4.1.jar;%LIB%/poi-ooxml-schemas-3.17.jar

set SERVER_NAME="escomled_server"
set SLOG_NAME="escomled_server"
set PID_FILE="/var/run/%SLOG_NAME%.pid"
set MEMORY="512";
 set ARGS="-Djava.awt.headless=true -Xmx1024M -Dcom.sun.management.jmxremote=true -Dcom.sun.management.jmxremote.port=9092 -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false -Djava.rmi.server.hostname=10.72.4.13 -Dhazelcast.diagnostics.enabled=true -Dhazelcast.diagnostics.metric.level=info -Dhazelcast.diagnostics.invocation.sample.period.seconds=30 -Dhazelcast.diagnostics.pending.invocations.period.seconds=30 -Dhazelcast.diagnostics.slowoperations.period.seconds=30"
:start
   ECHO "---- STARTING *** DataGrid *** DAEMON ----"
   %JAVA_HOME%\bin\java.exe %ARGS% -classpath %CLASSPATH% com.escomled.blackboard.main.DataGridServer
   ECHO "*** DataGrid *** backgrounded with process id %javaPID%"
   ECHO %javaPID% > %PID_FILE%
   EXIT /B 0

:stop
   ECHO "STOPING *** DataGrid ***"
   start-stop-daemon --stop --pidfile %PID_FILE%
   EXIT /B 0

:restart
     CALL :stop
     CALL :start

rem case "$1" in
rem  start)
rem        start
rem        ;;
rem  stop)
rem        stop
rem        ;;
rem  restart)
rem        stop
rem        start
rem        ;;
rem esac

rem exit 0;

如果我沒有解釋正確的話，我將編輯問題。 謝謝。

Answer 1

我在Docker容器中運行.sh腳本時遇到問題

您在這里遇到許多問題...一些提示：

• 您的配置文件結構從Dockerfile有點混亂：

   WORKDIR /EscomledML ADD . /EscomledML ADD ./MLScripts/lib EscomledML/lib ADD ./MLScripts/config EscomledML/config ADD ./MLScripts/config EscomledML/home/escomled/escomled_server/config ADD ./MLScripts EscomledML/MLScripts 

  腳本不會真正正確地將其作為目標，因為它期望在其他地方使用它：

   LIB=/home/escomled/escomled_server/lib CONFIG=/home/escomled/escomled_server/config 

  檢查所有文件位置，以確認它們已正確放置在應有的位置。

• 守護進程應作為主要進程在前台啟動。 由於您首先遇到啟動過程中的問題，因此在將其設置為Dockerfile的入口點之前，請嘗試使用/ bin / bash交互地啟動容器並正確啟動啟動腳本。

• 您正在嘗試從一個操作系統遷移到另一個操作系統。 安裝細節和環境差異可能是您的應用無法正常啟動的原因。

• 您可以直接在docker中使用build args和env變量，以避免在腳本中對其進行初始化。 確保所有環境變量都已正確初始化

評論后編輯：

您還遇到了多階段構建的問題。從上一階段開始的工件不會轉移到最后一個階段，從而有效地將其丟棄。 這就是為什么上一階段之后沒有任何文件夾的原因。 您需要一些能夠實現COPY --from=0 ...的效果，並檢查您想要的結果，因為您可能在此處濫用了多階段構建（主要目的是在上一層作為一次性構建階段構建某些東西，而不是將兩者結合圖片合二為一）。

在下一條評論后編輯：

我的看法是，使用ubuntu映像的唯一一件事就是安裝超級用戶。 如果是這種情況，則只需替換以下幾行：

FROM ubuntu:14.04
RUN apt-get update && apt-get install -y supervisor

與：

apk add --update supervisor

將以高山映像安裝supervisor，您將可以正常使用。

請注意，您的目錄結構看起來很混亂（您先添加.然后是子文件夾等），因此請確保查看這些內容。 我不知道您想要的目錄結構是什么，但是您應該能夠在其中建立頭...

Answer 2

首先，啟動系統服務或后台進程的命令（ service ， systemctl ， initctl ， start-stop-daemon ，...）在Docker中不起作用。

如果在初始環境變量設置后用在前台運行實際服務器的命令替換了所有腳本，

#!/bin/sh
LIB=...
...
ARGS=...
exec ${JAVA} ${ARGS} -classpath "${CLASSPATH}" com.escomled.blackboard.main.DataGridServer

Docker容器將一直運行，直到該服務器進程退出為止，這是您通常想要的。