Custom spark 3.5.0 image built with spark connect giving serialization error with rapids libs #10611

kkdatta · 2024-03-19T13:40:21Z

kkdatta
Mar 19, 2024

I am builidng a custom spark docker image to use spark connect in kubernetes. the base image of my docker image is nvidia/cuda:11.8.0-devel-ubuntu22.04 . I am installing jdk 17 and the spark libs are of spark 3.5.0. i am using the rapids-4-spark_2.12-24.02.0.jar.
While executing any stage .The error thrown is
java.lang.ClassCastException: cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD at java.base/java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2096) at java.base/java.io.ObjectStreamClass$FieldReflector.checkObjectFieldValueTypes(ObjectStreamClass.java:2060) at java.base/java.io.ObjectStreamClass.checkObjFieldValueTypes(ObjectStreamClass.java:1347) at java.base/java.io.ObjectInputStream$FieldValues.defaultCheckFieldValues(ObjectInputStream.java:2679) at java.base/java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2486) at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2257) at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1733) at java.base/java.io.ObjectInputStream$FieldValues.<init>(ObjectInputStream.java:2606) at java.base/java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2457) at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2257) at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1733) at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:509) at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:467) at scala.collection.immutable.List$SerializationProxy.readObject(List.scala:527) at jdk.internal.reflect.GeneratedMethodAccessor5.invoke(Unknown Source) at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.base/java.lang.reflect.Method.invoke(Method.java:568) at java.base/java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1100) at java.base/java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2423) at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2257) at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1733) at java.base/java.io.ObjectInputStream$FieldValues.<init>(ObjectInputStream.java:2606) at java.base/java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2412) at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2257) at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1733) at java.base/java.io.ObjectInputStream$FieldValues.<init>(ObjectInputStream.java:2606) at java.base/java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2457) at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2257) at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1733) at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:509) at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:467)

I found this #3704 But looks like the config spark.rapids.force.caller.classloader is not avaiable in newer versions rapids-4-spark_2.12-24.02.0.jar? The necessary spark confs are set as expected
The custom spark image built is working fine if the rapids are removed.

The docker file for reference

#
# Copyright (c) 2020-2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

FROM nvidia/cuda:11.8.0-devel-ubuntu22.04

ARG DEBIAN_FRONTEND="noninteractive"


ARG EXECUTOR_UID=9999
ARG EXECUTOR_GID=9999
RUN addgroup --system --gid ${EXECUTOR_GID} executor && \
    adduser --system --gid ${EXECUTOR_GID} --home /home/executor --uid ${EXECUTOR_UID} --disabled-password executor

ARG spark_uid=$EXECUTOR_UID


RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub

ENV DEBIAN_FRONTEND="noninteractive"

RUN apt-get update && apt-get install -y wget

RUN apt-get install -y curl ca-certificates



ENV JAVA_VERSION=17
ENV TEMURIN_DOWNLOAD_URL=https://api.adoptium.net/v3/binary/latest/${JAVA_VERSION}/ga/linux/x64/jdk/hotspot/normal/eclipse

RUN wget -O jdk.tar.gz ${TEMURIN_DOWNLOAD_URL} \
    && mkdir /opt/java \
    && tar -xzf jdk.tar.gz -C /opt/java --strip-components=1 \
    && rm jdk.tar.gz

ENV JAVA_HOME=/opt/java
ENV PATH=${PATH}:${JAVA_HOME}/bin

# Before building the docker image, first either download Apache Spark 3.1+ from
# http://spark.apache.org/downloads.html or build and make a Spark distribution following the
# instructions in http://spark.apache.org/docs/3.1.2/building-spark.html (see
# https://nvidia.github.io/spark-rapids/docs/download.html for other supported versions).  If this
# docker file is being used in the context of building your images from a Spark distribution, the
# docker build command should be invoked from the top level directory of the Spark
# distribution. E.g.: docker build -t spark:3.1.2 -f kubernetes/dockerfiles/spark/Dockerfile .


RUN set -ex && \
    ln -s /lib /lib64 && \
    apt install -y bash tini libc6 libpam-modules krb5-user libnss3 procps net-tools logrotate && \
    mkdir -p /opt/spark && \
    mkdir -p /opt/spark/jars && \
    mkdir -p /opt/spark/examples && \
    mkdir -p /opt/spark/work-dir && \
    mkdir -p /opt/sparkRapidsPlugin && \
    touch /opt/spark/RELEASE && \
    rm /bin/sh && \
    ln -sv /bin/bash /bin/sh && \
    echo "auth required pam_wheel.so use_uid" >> /etc/pam.d/su && \
    chgrp root /etc/passwd && chmod ug+rw /etc/passwd


COPY spark/jars /opt/spark/jars
COPY spark/bin /opt/spark/bin
COPY spark/sbin /opt/spark/sbin
COPY spark/kubernetes/dockerfiles/spark/entrypoint.sh /opt/
COPY spark/kubernetes/dockerfiles/spark/decom.sh /opt/
COPY spark/examples /opt/spark/examples
COPY spark/kubernetes/tests /opt/spark/tests
COPY spark/data /opt/spark/data
COPY hadoop-azure-3.3.6.jar /opt/spark/jars/
COPY azure-storage-7.0.1.jar /opt/spark/jars/
COPY delta-core_2.12-2.4.0.jar /opt/spark/jars/
COPY delta-storage-3.1.0.jar /opt/spark/jars/
COPY hadoop-common-3.3.6.jar /opt/spark/jars/
COPY spark-hadoop-cloud_2.12-3.5.0.jar /opt/spark/jars/
COPY hadoop-azure-datalake-3.3.6.jar /opt/spark/jars/
COPY hadoop-datajoin-3.3.6.jar /opt/spark/jars/
COPY hadoop-extras-3.3.6.jar /opt/spark/jars/
COPY hadoop-resourceestimator-3.3.6.jar /opt/spark/jars/
COPY woodstox-core-6.6.1.jar /opt/spark/jars/
COPY stax2-api-4.2.2.jar /opt/spark/jars/
COPY commons-configuration2-2.9.0.jar /opt/spark/jars/
COPY re2j-1.7.jar /opt/spark/jars/
COPY azure-data-lake-store-sdk-2.3.10.jar /opt/spark/jars/
COPY hadoop-client-3.3.6.jar /opt/spark/jars/
COPY jdom2-2.0.6.1.jar /opt/spark/jars/
COPY ojalgo-53.3.0.jar /opt/spark/jars/
COPY org.jacoco.agent-0.8.11.jar /opt/spark/jars/
COPY wildfly-openssl-2.2.5.Final.jar /opt/spark/jars/
COPY rapids-4-spark_2.12-*.jar /opt/spark/jars

#COPY rapids-4-spark_2.12-*.jar /opt/sparkRapidsPlugin
COPY getGpusResources.sh /opt/sparkRapidsPlugin
RUN chmod 777 /opt/sparkRapidsPlugin
RUN chmod 777 /opt/sparkRapidsPlugin/getGpusResources.sh
RUN chown executor:executor /opt/sparkRapidsPlugin
RUN chmod 777 /opt/sparkRapidsPlugin
RUN chmod 777 /opt/sparkRapidsPlugin/getGpusResources.sh



RUN mkdir /opt/spark/python
# TODO: Investigate running both pip and pip3 via virtualenvs
RUN apt install -y python3 python3-pip && \
    pip install --upgrade pip setuptools && \
    rm -r /root/.cache && rm -rf /var/cache/apt/* && \
    ln -s /usr/bin/python3 /usr/bin/python

COPY spark/python/pyspark /opt/spark/python/pyspark
COPY spark/python/lib /opt/spark/python/lib

ENV SPARK_HOME /opt/spark

WORKDIR /opt/spark/work-dir

RUN chown executor:executor /opt/spark/work-dir
RUN chmod a+x /opt/decom.sh
#Sparkconnect: Config default log dir
RUN mkdir -p /opt/spark/logs && chmod 777 /opt/spark/logs
#Sparkconnect : Config python and pyspark
RUN ln -sv /usr/bin/python3 /usr/local/bin/python3

ENTRYPOINT [ "/opt/entrypoint.sh" ]


# Specify the User that the actual main process will run as
USER ${spark_uid}
# Sparkconnect:include user's local bin for pip install
ENV PATH=/home/executor/.local/bin:$PATH

Will be helpful if someone explains what is going wrong here.
Thanks

Answered by tgravescs

Mar 19, 2024

we haven't tested with Spark connect but we have seen some a similar issue with our jar that has multiple shims have classloader issues.

I would suggest rebuilding spark-rapids for just the single spark release (3.5.0) that you are using to see if it fixes this issue:
https://github.com/NVIDIA/spark-rapids/blob/branch-24.02/CONTRIBUTING.md#building-a-distribution-for-a-single-spark-release

Please let us know if this works for you.

View full answer

tgravescs · 2024-03-19T15:06:08Z

tgravescs
Mar 19, 2024
Maintainer

we haven't tested with Spark connect but we have seen some a similar issue with our jar that has multiple shims have classloader issues.

I would suggest rebuilding spark-rapids for just the single spark release (3.5.0) that you are using to see if it fixes this issue:
https://github.com/NVIDIA/spark-rapids/blob/branch-24.02/CONTRIBUTING.md#building-a-distribution-for-a-single-spark-release

Please let us know if this works for you.

3 replies

kkdatta Mar 19, 2024
Author

Thanks @tgravescs will try and let u know.
I dont think it is anything to do with sparkconnect but will test that too.
For reference , this is the following logs at the startup. I dont see anything unexpected here too.

++ id -u
+ myuid=9999
++ id -g
+ mygid=9999
+ set +e
++ getent passwd 9999
+ uidentry=executor:x:9999:9999::/home/executor:/usr/sbin/nologin
+ set -e
+ '[' -z executor:x:9999:9999::/home/executor:/usr/sbin/nologin ']'
+ '[' -z /opt/java ']'
+ SPARK_CLASSPATH=':/opt/spark/jars/*'
+ env
+ grep SPARK_JAVA_OPT_
+ sort -t_ -k4 -n
+ sed 's/[^=]*=\(.*\)/\1/g'
++ command -v readarray
+ '[' readarray ']'
+ readarray -t SPARK_EXECUTOR_JAVA_OPTS
+ '[' -n '' ']'
+ '[' -z ']'
+ '[' -z ']'
+ '[' -n '' ']'
+ '[' -z ']'
+ '[' -z x ']'
+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*'
+ SPARK_CLASSPATH='/opt/spark/conf::/opt/spark/jars/*:/opt/spark/work-dir'
+ case "$1" in
+ shift 1
+ CMD=(${JAVA_HOME}/bin/java "${SPARK_EXECUTOR_JAVA_OPTS[@]}" -Xms$SPARK_EXECUTOR_MEMORY -Xmx$SPARK_EXECUTOR_MEMORY -cp "$SPARK_CLASSPATH:$SPARK_DIST_CLASSPATH" org.apache.spark.scheduler.cluster.k8s.KubernetesExecutorBackend --driver-url $SPARK_DRIVER_URL --executor-id $SPARK_EXECUTOR_ID --cores $SPARK_EXECUTOR_CORES --app-id $SPARK_APPLICATION_ID --hostname $SPARK_EXECUTOR_POD_IP --resourceProfileId $SPARK_RESOURCE_PROFILE_ID --podName $SPARK_EXECUTOR_POD_NAME)
+ exec /usr/bin/tini -s -- /opt/java/bin/java -Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false -Dspark.driver.port=37063 -Xms153600m -Xmx153600m -cp '/opt/spark/conf::/opt/spark/jars/*:/opt/spark/work-dir:' org.apache.spark.scheduler.cluster.k8s.KubernetesExecutorBackend --driver-url spark://CoarseGrainedScheduler@172.16.4.252:37063 --executor-id 1 --cores 20 --app-id spark-0c8d00d58d1f48b08d7c125ab69feb77 --hostname 172.16.4.105 --resourceProfileId 0 --podName spark-connect-server-ceb90d8e56d734ef-exec-1
Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties
24/03/19 13:12:45 INFO KubernetesExecutorBackend: Started daemon with process name: 15@spark-connect-server-ceb90d8e56d734ef-exec-1
24/03/19 13:12:45 INFO SignalUtils: Registering signal handler for TERM
24/03/19 13:12:45 INFO SignalUtils: Registering signal handler for HUP
24/03/19 13:12:45 INFO SignalUtils: Registering signal handler for INT
24/03/19 13:12:45 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
24/03/19 13:12:45 INFO SecurityManager: Changing view acls to: executor
24/03/19 13:12:45 INFO SecurityManager: Changing modify acls to: executor
24/03/19 13:12:45 INFO SecurityManager: Changing view acls groups to: 
24/03/19 13:12:45 INFO SecurityManager: Changing modify acls groups to: 
24/03/19 13:12:45 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: executor; groups with view permissions: EMPTY; users with modify permissions: executor; groups with modify permissions: EMPTY
24/03/19 13:12:45 INFO TransportClientFactory: Successfully created connection to /172.16.4.252:37063 after 41 ms (0 ms spent in bootstraps)
24/03/19 13:12:46 INFO SecurityManager: Changing view acls to: executor
24/03/19 13:12:46 INFO SecurityManager: Changing modify acls to: executor
24/03/19 13:12:46 INFO SecurityManager: Changing view acls groups to: 
24/03/19 13:12:46 INFO SecurityManager: Changing modify acls groups to: 
24/03/19 13:12:46 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: executor; groups with view permissions: EMPTY; users with modify permissions: executor; groups with modify permissions: EMPTY
24/03/19 13:12:46 INFO TransportClientFactory: Successfully created connection to /172.16.4.252:37063 after 1 ms (0 ms spent in bootstraps)
24/03/19 13:12:46 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-8e6d22de-6149-48ee-8330-e1d4c198e7ae
24/03/19 13:12:46 INFO MemoryStore: MemoryStore started with capacity 89.8 GiB
24/03/19 13:12:46 INFO CoarseGrainedExecutorBackend: Connecting to driver: spark://CoarseGrainedScheduler@172.16.4.252:37063
24/03/19 13:12:46 INFO ResourceDiscoveryScriptPlugin: Discovering resources for gpu with script: /opt/sparkRapidsPlugin/getGpusResources.sh
24/03/19 13:12:46 INFO ResourceUtils: ==============================================================
24/03/19 13:12:46 INFO ResourceUtils: Custom resources for spark.executor:
gpu -> [name: gpu, addresses: 0]
24/03/19 13:12:46 INFO ResourceUtils: ==============================================================
24/03/19 13:12:46 INFO CoarseGrainedExecutorBackend: Successfully registered with driver
24/03/19 13:12:46 INFO Executor: Starting executor ID 1 on host 172.16.4.105
24/03/19 13:12:46 INFO Executor: OS info Linux, 5.15.0-1057-azure, amd64
24/03/19 13:12:46 INFO Executor: Java version 17.0.10
24/03/19 13:12:46 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 34275.
24/03/19 13:12:46 INFO NettyBlockTransferService: Server created on 172.16.4.105:34275
24/03/19 13:12:46 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
24/03/19 13:12:46 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(1, 172.16.4.105, 34275, None)
24/03/19 13:12:46 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(1, 172.16.4.105, 34275, None)
24/03/19 13:12:46 INFO BlockManager: Initialized BlockManager: BlockManagerId(1, 172.16.4.105, 34275, None)
24/03/19 13:12:46 INFO Executor: Starting executor with user classpath (userClassPathFirst = false): ''
24/03/19 13:12:46 INFO Executor: Created or updated repl class loader org.apache.spark.util.MutableURLClassLoader@2258f7d6 for default.
24/03/19 13:12:46 INFO Executor: Fetching spark://172.16.4.252:37063/files/org.apache.spark_spark-connect_2.12-3.5.0.jar with timestamp 1710853927506
24/03/19 13:12:46 INFO TransportClientFactory: Successfully created connection to /172.16.4.252:37063 after 5 ms (0 ms spent in bootstraps)
24/03/19 13:12:46 INFO Utils: Fetching spark://172.16.4.252:37063/files/org.apache.spark_spark-connect_2.12-3.5.0.jar to /opt/spark/work-dir/./fetchFileTemp8369460045948077799.tmp
24/03/19 13:12:46 INFO Executor: Fetching spark://172.16.4.252:37063/files/org.spark-project.spark_unused-1.0.0.jar with timestamp 1710853927506
24/03/19 13:12:46 INFO Utils: Fetching spark://172.16.4.252:37063/files/org.spark-project.spark_unused-1.0.0.jar to /opt/spark/work-dir/./fetchFileTemp7016878810528022801.tmp
24/03/19 13:12:46 INFO Executor: Fetching spark://172.16.4.252:37063/jars/org.apache.spark_spark-connect_2.12-3.5.0.jar with timestamp 1710853927506
24/03/19 13:12:46 INFO Utils: Fetching spark://172.16.4.252:37063/jars/org.apache.spark_spark-connect_2.12-3.5.0.jar to /opt/spark/work-dir/./fetchFileTemp8863728185612930748.tmp
24/03/19 13:12:46 INFO Utils: /opt/spark/work-dir/./fetchFileTemp8863728185612930748.tmp has been previously copied to /opt/spark/work-dir/./org.apache.spark_spark-connect_2.12-3.5.0.jar
24/03/19 13:12:46 INFO Executor: Adding file:/opt/spark/work-dir/./org.apache.spark_spark-connect_2.12-3.5.0.jar to class loader default
24/03/19 13:12:46 INFO Executor: Fetching spark://172.16.4.252:37063/jars/org.spark-project.spark_unused-1.0.0.jar with timestamp 1710853927506
24/03/19 13:12:46 INFO Utils: Fetching spark://172.16.4.252:37063/jars/org.spark-project.spark_unused-1.0.0.jar to /opt/spark/work-dir/./fetchFileTemp2854440234807949995.tmp
24/03/19 13:12:46 INFO Utils: /opt/spark/work-dir/./fetchFileTemp2854440234807949995.tmp has been previously copied to /opt/spark/work-dir/./org.spark-project.spark_unused-1.0.0.jar
24/03/19 13:12:46 INFO Executor: Adding file:/opt/spark/work-dir/./org.spark-project.spark_unused-1.0.0.jar to class loader default
24/03/19 13:12:46 INFO ShimLoader: Loading shim for Spark version: 3.5.0
24/03/19 13:12:46 INFO ShimLoader: Complete Spark build info: 3.5.0, https://github.com/apache/spark, HEAD, ce5ddad990373636e94071e7cef2f31021add07b, 2023-09-09T01:53:20Z
24/03/19 13:12:46 INFO ShimLoader: Scala version: version 2.12.18
24/03/19 13:12:46 INFO ShimLoader: findURLClassLoader found a URLClassLoader org.apache.spark.util.MutableURLClassLoader@2258f7d6
24/03/19 13:12:46 INFO ShimLoader: Updating spark classloader org.apache.spark.util.MutableURLClassLoader@2258f7d6 with the URLs: jar:file:/opt/spark/jars/rapids-4-spark_2.12-24.02.0.jar!/spark3xx-common/, jar:file:/opt/spark/jars/rapids-4-spark_2.12-24.02.0.jar!/spark350/
24/03/19 13:12:46 INFO ShimLoader: Spark classLoader org.apache.spark.util.MutableURLClassLoader@2258f7d6 updated successfully
24/03/19 13:12:46 INFO ShimLoader: Updating spark classloader org.apache.spark.util.MutableURLClassLoader@2258f7d6 with the URLs: jar:file:/opt/spark/jars/rapids-4-spark_2.12-24.02.0.jar!/spark3xx-common/, jar:file:/opt/spark/jars/rapids-4-spark_2.12-24.02.0.jar!/spark350/
24/03/19 13:12:46 INFO ShimLoader: Spark classLoader org.apache.spark.util.MutableURLClassLoader@2258f7d6 updated successfully
24/03/19 13:12:50 INFO RapidsPluginUtils: RAPIDS Accelerator build: {date=2024-03-06T15:31:17Z, cudf_version=24.02.1, version=24.02.0, user=, branch=HEAD, url=https://github.com/NVIDIA/spark-rapids.git, revision=4b866f591e5079255ad88d39560211fa1053f191}
24/03/19 13:12:50 INFO RapidsPluginUtils: RAPIDS Accelerator JNI build: {date=2024-02-28T05:34:16Z, version=24.02.1, user=, branch=HEAD, url=https://github.com/NVIDIA/spark-rapids-jni.git, revision=298fe9ff0a5d704dd2b7f3f0dd2df50c5637c52e}
24/03/19 13:12:50 INFO RapidsPluginUtils: cudf build: {date=2024-02-28T05:34:16Z, version=24.02.1, user=, branch=HEAD, url=https://github.com/rapidsai/cudf.git, revision=dd34fdbe35e68ba56a2183f11ed822ddaa6c927b}
24/03/19 13:12:50 WARN RapidsPluginUtils: RAPIDS Accelerator 24.02.0 using cudf 24.02.1.
24/03/19 13:12:50 INFO RapidsPluginUtils: Estimated number of cores is 20
24/03/19 13:12:50 INFO RapidsExecutorPlugin: RAPIDS Accelerator build: {date=2024-03-06T15:31:17Z, cudf_version=24.02.1, version=24.02.0, user=, branch=HEAD, url=https://github.com/NVIDIA/spark-rapids.git, revision=4b866f591e5079255ad88d39560211fa1053f191}
24/03/19 13:12:50 INFO RapidsExecutorPlugin: cudf build: {date=2024-02-28T05:34:16Z, version=24.02.1, user=, branch=HEAD, url=https://github.com/rapidsai/cudf.git, revision=dd34fdbe35e68ba56a2183f11ed822ddaa6c927b}
24/03/19 13:12:50 INFO RapidsExecutorPlugin: Initializing memory from Executor Plugin
24/03/19 13:12:50 INFO GpuDeviceManager: Initializing RMM ASYNC pool size = 79970.125 MB on gpuId 0
24/03/19 13:12:50 INFO GpuDeviceManager: Using per-thread default stream
24/03/19 13:12:50 INFO ShimDiskBlockManager: Created local directory at /tmp/blockmgr-50e9c3ef-5e91-406f-bdd1-78d39f4fcc22
24/03/19 13:12:50 INFO RapidsBufferCatalog: Installing GPU memory handler for spill
24/03/19 13:12:50 INFO ExecutorPluginContainer: Initialized executor component for plugin com.nvidia.spark.SQLPlugin.
24/03/19 13:16:34 INFO CoarseGrainedExecutorBackend: Got assigned task 0
24/03/19 13:16:34 INFO Executor: Starting executor with user classpath (userClassPathFirst = false): ''
24/03/19 13:16:34 INFO Executor: Using REPL class URI: spark://172.16.4.252:37063/artifacts/b4c1fb58-aa6d-4f14-bcf1-aa5115736b26/classes/
24/03/19 13:16:34 INFO Executor: Created or updated repl class loader org.apache.spark.executor.ExecutorClassLoader@2c69145c for b4c1fb58-aa6d-4f14-bcf1-aa5115736b26.
24/03/19 13:16:34 INFO Executor: Running task 0.0 in stage 0.0 (TID 0)
24/03/19 13:16:34 INFO TorrentBroadcast: Started reading broadcast variable 0 with 1 pieces (estimated total size 4.0 MiB)
24/03/19 13:16:34 INFO TransportClientFactory: Successfully created connection to /172.16.4.252:43921 after 1 ms (0 ms spent in bootstraps)
24/03/19 13:16:34 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 41.7 KiB, free 89.8 GiB)
24/03/19 13:16:34 INFO TorrentBroadcast: Reading broadcast variable 0 took 65 ms
24/03/19 13:16:34 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 112.7 KiB, free 89.8 GiB)
24/03/19 13:16:35 INFO Executor: Finished task 0.0 in stage 0.0 (TID 0). 2548 bytes result sent to driver
24/03/19 13:16:36 INFO CoarseGrainedExecutorBackend: Got assigned task 1
24/03/19 13:16:36 INFO Executor: Running task 0.0 in stage 1.0 (TID 1)
24/03/19 13:16:36 INFO TorrentBroadcast: Started reading broadcast variable 2 with 1 pieces (estimated total size 4.0 MiB)
24/03/19 13:16:36 INFO MemoryStore: Block broadcast_2_piece0 stored as bytes in memory (estimated size 12.3 KiB, free 89.8 GiB)
24/03/19 13:16:36 INFO TorrentBroadcast: Reading broadcast variable 2 took 16 ms
24/03/19 13:16:36 INFO MemoryStore: Block broadcast_2 stored as values in memory (estimated size 27.1 KiB, free 89.8 GiB)
24/03/19 13:16:36 INFO TransportClientFactory: Found inactive connection to /172.16.4.252:37063, creating a new one.
24/03/19 13:16:36 INFO TransportClientFactory: Successfully created connection to /172.16.4.252:37063 after 1 ms (0 ms spent in bootstraps)```

kkdatta Mar 20, 2024
Author

Hi @tgravescs ,
The solution worked. Thanks a lot

tgravescs Mar 20, 2024
Maintainer

thanks for confirming, we will investigate other solutions under the 9375 issue that Gera linked to so that hopefully in the future you don't have to build it yourself.

gerashegalov · 2024-03-20T18:44:32Z

gerashegalov
Mar 20, 2024
Collaborator

Related to #9375

1 reply

kkdatta Mar 20, 2024
Author

@gerashegalov
This works with spark connect too. I tested with shim 3.5.0 with java 17 cuda 11

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Custom spark 3.5.0 image built with spark connect giving serialization error with rapids libs #10611

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Custom spark 3.5.0 image built with spark connect giving serialization error with rapids libs #10611

kkdatta Mar 19, 2024

Replies: 2 comments · 4 replies

tgravescs Mar 19, 2024 Maintainer

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tgravescs Mar 20, 2024 Maintainer

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kkdatta
Mar 19, 2024

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Mar 19, 2024
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kkdatta Mar 20, 2024
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tgravescs Mar 20, 2024
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gerashegalov
Mar 20, 2024
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