使用 Spark-Submit 在 kubernetes 上安装 PySpark 软件包:找不到常春藤缓存文件错误 [英] PySpark packages installation on kubernetes with Spark-Submit: ivy-cache file not found error

问题描述

我整天都在和它斗争.我能够安装和使用带有 spark shell 或连接的 Jupiter 笔记本的包(graphframes)，但我想通过 spark-submit 将其移动到基于 kubernetes 的 spark 环境.我的spark 版本:3.0.1我从 spark-packages 下载了最后一个可用的 .jar 文件(graphframes-0.8.1-spark3.0-s_2.12.jar)并将其放入 jars 文件夹.我使用标准 spark docker 文件的变体来构建我的图像.我的 spark-submit 命令看起来像:

I am fighting it the whole day. I am able to install and to use a package (graphframes) with spark shell or a connected Jupiter notebook, but I would like to move it to the kubernetes based spark environment with spark-submit. My spark version: 3.0.1 I downloaded the last available .jar file (graphframes-0.8.1-spark3.0-s_2.12.jar) from spark-packages and put it to the jars folder. I use a variation of standard spark docker file to build my images. My spark-submit command looks like:

$SPARK_HOME/bin/spark-submit \
--master k8s://https://kubernetes.docker.internal:6443 \
--deploy-mode cluster \
--conf spark.executor.instances=$2 \
--conf spark.kubernetes.container.image=myimage.io/repositorypath \
--packages graphframes:graphframes:0.8.1-spark3.0-s_2.12 \
--jars "local:///opt/spark/jars/graphframes-0.8.1-spark3.0-s_2.12.jar" \
path/to/my/script/script.py

但它以错误结束:

Ivy Default Cache set to: /opt/spark/.ivy2/cache
The jars for the packages stored in: /opt/spark/.ivy2/jars
:: loading settings :: url = jar:file:/opt/spark/jars/ivy-2.4.0.jar!/org/apache/ivy/core/settings/ivysettings.xml
graphframes#graphframes added as a dependency
:: resolving dependencies :: org.apache.spark#spark-submit-parent-e833e157-44f5-4055-81a4-3ab524176ef5;1.0
    confs: [default]
Exception in thread "main" java.io.FileNotFoundException: /opt/spark/.ivy2/cache/resolved-org.apache.spark-spark-submit-parent-e833e157-44f5-4055-81a4-3ab524176ef5-1.0.xml (No such file or directory)

以下是我针对此案例的日志:

(base) konstantinigin@Konstantins-MBP spark-3.0.1-bin-hadoop3.2 % kubectl logs scalableapp-py-7669dd784bd59f67-driver
++ id -u
+ myuid=185
++ id -g
+ mygid=0
+ set +e
++ getent passwd 185
+ uidentry=
+ set -e
+ '[' -z '' ']'
+ '[' -w /etc/passwd ']'
+ echo '185:x:185:0:anonymous uid:/opt/spark:/bin/false'
+ SPARK_CLASSPATH=':/opt/spark/jars/*'
+ env
+ sort -t_ -k4 -n
+ grep SPARK_JAVA_OPT_
+ sed 's/[^=]*=\(.*\)/\1/g'
+ readarray -t SPARK_EXECUTOR_JAVA_OPTS
+ '[' -n '' ']'
+ '[' 3 == 2 ']'
+ '[' 3 == 3 ']'
++ python3 -V
+ pyv3='Python 3.7.3'
+ export PYTHON_VERSION=3.7.3
+ PYTHON_VERSION=3.7.3
+ export PYSPARK_PYTHON=python3
+ PYSPARK_PYTHON=python3
+ export PYSPARK_DRIVER_PYTHON=python3
+ PYSPARK_DRIVER_PYTHON=python3
+ '[' -n '' ']'
+ '[' -z ']'
+ case "$1" in
+ shift 1
+ CMD=("$SPARK_HOME/bin/spark-submit" --conf "spark.driver.bindAddress=$SPARK_DRIVER_BIND_ADDRESS" --deploy-mode client "$@")
+ exec /usr/bin/tini -s -- /opt/spark/bin/spark-submit --conf spark.driver.bindAddress=10.1.2.145 --deploy-mode client --properties-file /opt/spark/conf/spark.properties --class org.apache.spark.deploy.PythonRunner local:///opt/spark/data/ScalableApp.py --number_of_executors 2 --dataset USAir --links 100
Ivy Default Cache set to: /opt/spark/.ivy2/cache
The jars for the packages stored in: /opt/spark/.ivy2/jars
:: loading settings :: url = jar:file:/opt/spark/jars/ivy-2.4.0.jar!/org/apache/ivy/core/settings/ivysettings.xml
graphframes#graphframes added as a dependency
:: resolving dependencies :: org.apache.spark#spark-submit-parent-e833e157-44f5-4055-81a4-3ab524176ef5;1.0
    confs: [default]
Exception in thread "main" java.io.FileNotFoundException: /opt/spark/.ivy2/cache/resolved-org.apache.spark-spark-submit-parent-e833e157-44f5-4055-81a4-3ab524176ef5-1.0.xml (No such file or directory)
    at java.io.FileOutputStream.open0(Native Method)
    at java.io.FileOutputStream.open(FileOutputStream.java:270)
    at java.io.FileOutputStream.<init>(FileOutputStream.java:213)
    at java.io.FileOutputStream.<init>(FileOutputStream.java:162)
    at org.apache.ivy.plugins.parser.xml.XmlModuleDescriptorWriter.write(XmlModuleDescriptorWriter.java:70)
    at org.apache.ivy.plugins.parser.xml.XmlModuleDescriptorWriter.write(XmlModuleDescriptorWriter.java:62)
    at org.apache.ivy.core.module.descriptor.DefaultModuleDescriptor.toIvyFile(DefaultModuleDescriptor.java:563)
    at org.apache.ivy.core.cache.DefaultResolutionCacheManager.saveResolvedModuleDescriptor(DefaultResolutionCacheManager.java:176)
    at org.apache.ivy.core.resolve.ResolveEngine.resolve(ResolveEngine.java:245)
    at org.apache.ivy.Ivy.resolve(Ivy.java:523)
    at org.apache.spark.deploy.SparkSubmitUtils$.resolveMavenCoordinates(SparkSubmit.scala:1387)
    at org.apache.spark.deploy.DependencyUtils$.resolveMavenDependencies(DependencyUtils.scala:54)
    at org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment(SparkSubmit.scala:308)
    at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:871)
    at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
    at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
    at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
    at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

有人有什么熟悉的东西吗?也许你知道我在这里做错了什么?

Did someone have something familiar? May be you have an idea what am I doing wrong here?

推荐答案

好的，我解决了我的问题.不确定它是否适用于其他软件包，但它可以让我在提到的设置中运行图形框架:

Okay, I solved my issue. Not sure whether it is going to work for other packages, but it lets me run graphframes in the mentioned setup:

1. 从 spark-packages 下载最新的 .jar 文件
2. 删除其名称的版本部分，仅保留包名称.就我而言，它是:

mv ./graphframes-0.8.1-spark3.0-s_2.12.jar ./graphframes.jar

1. 使用 jar 命令解压:

# Extract jar contents
jar xf graphframes.jar

现在是第一点.我把我使用的所有包都放在一个依赖文件夹中，然后我以压缩形式提交给 kubernetes.这个文件夹背后的逻辑在我的另一个问题中得到了解释，我再次回答了自己.参见此处.现在，我使用 jar 命令将上一步中提取的内容中的 graphframes 文件夹复制到我的依赖项文件夹中:4.将graphframes文件夹从之前提取的内容复制到你的依赖文件夹

Now here comes the first point. I put all the packages I use in one dependencies folder that I later submit to kubernetes in zipped form. The logic behind this folder is explained in another question of mine that I again answered myself. See here. Now here I copy the graphframes folder from contents extracted in previous step using the jar command to my dependencies folder: 4. Copy graphframes folder from contents extracted before to your dependencies folder

cp -r ./graphframes $SPARK_HOME/path/to/your/dependencies

1. 将原始 .jar 文件添加到 $SPARK_HOME 内的 jars 文件夹
2. 在 spark-submit 命令中包含 --jars，指向新的 .jar 文件:

$SPARK_HOME/bin/spark-submit \
--master k8s://https://kubernetes.docker.internal:6443 \
--deploy-mode cluster \
--conf spark.executor.instances=$2 \
--conf spark.kubernetes.container.image=docker.io/path/to/your/image \
--jars "local:///opt/spark/jars/graphframes.jar" \ ...

1. 包括您的依赖项如此处所述

我现在很着急，但在不久的将来我会编辑这篇文章，添加一个链接到一篇关于在 py-spark 中处理依赖项的中篇短文. 希望它会成功对某人有用:)

I am in a hurry right now, but in a nearest future I will edit this post, adding a link to a short medium article about handling dependencies in py-spark. Hope that it is going to be useful to someone :)

这篇关于使用 Spark-Submit 在 kubernetes 上安装 PySpark 软件包:找不到常春藤缓存文件错误的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！