apache-spark - "' JavaPackage ' object is not callable"通过 Zeppelin 在 Pyspark 3.0.1 中执行解释()错误

Question

我正在 Zeppelin 笔记本中为 Hadoop 2.7 运行 Pyspark 3.0.1。一般来说，一切都很好，但是当我在 DataFrame 上执行 df.explain() 时，我收到此错误:

Fail to execute line 3: df.explain()
Traceback (most recent call last):
  File "/tmp/1610595392738-0/zeppelin_python.py", line 158, in <module>
    exec(code, _zcUserQueryNameSpace)
  File "<stdin>", line 3, in <module>
  File "/usr/local/spark/python/pyspark/sql/dataframe.py", line 356, in explain
    print(self._sc._jvm.PythonSQLUtils.explainString(self._jdf.queryExecution(), explain_mode))
TypeError: 'JavaPackage' object is not callable

有没有人在解释的上下文中遇到并解决过这个错误？
我的 spark/jars 文件夹内容:

activation-1.1.1.jar
aircompressor-0.10.jar
algebra_2.12-2.0.0-M2.jar
alluxio-2.4.1-client.jar
antlr4-runtime-4.7.1.jar
antlr-runtime-3.5.2.jar
aopalliance-1.0.jar
aopalliance-repackaged-2.6.1.jar
apacheds-i18n-2.0.0-M15.jar
apacheds-kerberos-codec-2.0.0-M15.jar
api-asn1-api-1.0.0-M20.jar
api-util-1.0.0-M20.jar
arpack_combined_all-0.1.jar
arrow-format-0.15.1.jar
arrow-memory-0.15.1.jar
arrow-vector-0.15.1.jar
audience-annotations-0.5.0.jar
automaton-1.11-8.jar
avro-1.8.2.jar
avro-ipc-1.8.2.jar
avro-mapred-1.8.2-hadoop2.jar
bonecp-0.8.0.RELEASE.jar
breeze_2.12-1.0.jar
breeze-macros_2.12-1.0.jar
cats-kernel_2.12-2.0.0-M4.jar
chill_2.12-0.9.5.jar
chill-java-0.9.5.jar
commons-beanutils-1.9.4.jar
commons-cli-1.2.jar
commons-codec-1.10.jar
commons-collections-3.2.2.jar
commons-compiler-3.0.16.jar
commons-compress-1.8.1.jar
commons-configuration-1.6.jar
commons-crypto-1.0.0.jar
commons-dbcp-1.4.jar
commons-digester-1.8.jar
commons-httpclient-3.1.jar
commons-io-2.4.jar
commons-lang-2.6.jar
commons-lang3-3.9.jar
commons-logging-1.1.3.jar
commons-math3-3.4.1.jar
commons-net-3.1.jar
commons-pool-1.5.4.jar
commons-text-1.6.jar
compress-lzf-1.0.3.jar
core-1.1.2.jar
curator-client-2.7.1.jar
curator-framework-2.7.1.jar
curator-recipes-2.7.1.jar
datanucleus-api-jdo-4.2.4.jar
datanucleus-core-4.1.17.jar
datanucleus-rdbms-4.1.19.jar
derby-10.12.1.1.jar
dropwizard-metrics-hadoop-metrics2-reporter-0.1.2.jar
flatbuffers-java-1.9.0.jar
generex-1.0.2.jar
gson-2.2.4.jar
guava-14.0.1.jar
guice-3.0.jar
guice-servlet-3.0.jar
hadoop-annotations-2.7.4.jar
hadoop-auth-2.7.4.jar
hadoop-client-2.7.4.jar
hadoop-common-2.7.4.jar
hadoop-hdfs-2.7.4.jar
hadoop-mapreduce-client-app-2.7.4.jar
hadoop-mapreduce-client-common-2.7.4.jar
hadoop-mapreduce-client-core-2.7.4.jar
hadoop-mapreduce-client-jobclient-2.7.4.jar
hadoop-mapreduce-client-shuffle-2.7.4.jar
hadoop-yarn-api-2.7.4.jar
hadoop-yarn-client-2.7.4.jar
hadoop-yarn-common-2.7.4.jar
hadoop-yarn-server-common-2.7.4.jar
hadoop-yarn-server-web-proxy-2.7.4.jar
HikariCP-2.5.1.jar
hive-beeline-2.3.7.jar
hive-cli-2.3.7.jar
hive-common-2.3.7.jar
hive-exec-2.3.7-core.jar
hive-jdbc-2.3.7.jar
hive-llap-common-2.3.7.jar
hive-metastore-2.3.7.jar
hive-serde-1.2.1.spark2.jar
hive-serde-2.3.7.jar
hive-shims-0.23-2.3.7.jar
hive-shims-1.2.1.spark2.jar
hive-shims-2.3.7.jar
hive-shims-common-2.3.7.jar
hive-shims-scheduler-2.3.7.jar
hive-storage-api-2.7.1.jar
hive-vector-code-gen-2.3.7.jar
hk2-api-2.6.1.jar
hk2-locator-2.6.1.jar
hk2-utils-2.6.1.jar
htrace-core-3.1.0-incubating.jar
httpclient-4.5.6.jar
httpcore-4.4.12.jar
istack-commons-runtime-3.0.8.jar
ivy-2.4.0.jar
jackson-annotations-2.10.0.jar
jackson-core-2.10.0.jar
jackson-core-asl-1.9.13.jar
jackson-databind-2.10.0.jar
jackson-dataformat-yaml-2.10.0.jar
jackson-datatype-jsr310-2.10.3.jar
jackson-jaxrs-1.9.13.jar
jackson-mapper-asl-1.9.13.jar
jackson-module-jaxb-annotations-2.10.0.jar
jackson-module-paranamer-2.10.0.jar
jackson-module-scala_2.12-2.10.0.jar
jackson-xc-1.9.13.jar
jakarta.activation-api-1.2.1.jar
jakarta.annotation-api-1.3.5.jar
jakarta.inject-2.6.1.jar
jakarta.validation-api-2.0.2.jar
jakarta.ws.rs-api-2.1.6.jar
jakarta.xml.bind-api-2.3.2.jar
janino-3.0.16.jar
javassist-3.25.0-GA.jar
javax.inject-1.jar
javax.jdo-3.2.0-m3.jar
javax.servlet-api-3.1.0.jar
javolution-5.5.1.jar
jaxb-api-2.2.2.jar
jaxb-runtime-2.3.2.jar
jcl-over-slf4j-1.7.30.jar
jdo-api-3.0.1.jar
jersey-client-2.30.jar
jersey-common-2.30.jar
jersey-container-servlet-2.30.jar
jersey-container-servlet-core-2.30.jar
jersey-hk2-2.30.jar
jersey-media-jaxb-2.30.jar
jersey-server-2.30.jar
jetty-6.1.26.jar
jetty-sslengine-6.1.26.jar
jetty-util-6.1.26.jar
JLargeArrays-1.5.jar
jline-2.14.6.jar
joda-time-2.10.5.jar
jodd-core-3.5.2.jar
jpam-1.1.jar
json-1.8.jar
json4s-ast_2.12-3.6.6.jar
json4s-core_2.12-3.6.6.jar
json4s-jackson_2.12-3.6.6.jar
json4s-scalap_2.12-3.6.6.jar
jsp-api-2.1.jar
jsr305-3.0.0.jar
jta-1.1.jar
JTransforms-3.1.jar
jul-to-slf4j-1.7.30.jar
kryo-shaded-4.0.2.jar
kubernetes-client-4.9.2.jar
kubernetes-model-4.9.2.jar
kubernetes-model-common-4.9.2.jar
leveldbjni-all-1.8.jar
libfb303-0.9.3.jar
libthrift-0.12.0.jar
log4j-1.2.17.jar
logging-interceptor-3.12.6.jar
lz4-java-1.7.1.jar
machinist_2.12-0.6.8.jar
macro-compat_2.12-1.1.1.jar
mesos-1.4.0-shaded-protobuf.jar
metrics-core-4.1.1.jar
metrics-graphite-4.1.1.jar
metrics-jmx-4.1.1.jar
metrics-json-4.1.1.jar
metrics-jvm-4.1.1.jar
minlog-1.3.0.jar
netty-all-4.1.47.Final.jar
objenesis-2.5.1.jar
okhttp-3.12.6.jar
okio-1.15.0.jar
opencsv-2.3.jar
orc-core-1.5.10.jar
orc-mapreduce-1.5.10.jar
orc-shims-1.5.10.jar
oro-2.0.8.jar
osgi-resource-locator-1.0.3.jar
paranamer-2.8.jar
parquet-column-1.10.1.jar
parquet-common-1.10.1.jar
parquet-encoding-1.10.1.jar
parquet-format-2.4.0.jar
parquet-hadoop-1.10.1.jar
parquet-jackson-1.10.1.jar
postgresql-42.2.14.jar
protobuf-java-2.5.0.jar
py4j-0.10.9.jar
pyrolite-4.30.jar
RoaringBitmap-0.7.45.jar
scala-collection-compat_2.12-2.1.1.jar
scala-compiler-2.12.10.jar
scala-library-2.12.10.jar
scala-parser-combinators_2.12-1.1.2.jar
scala-reflect-2.12.10.jar
scala-xml_2.12-1.2.0.jar
shapeless_2.12-2.3.3.jar
shims-0.7.45.jar
slf4j-api-1.7.30.jar
slf4j-log4j12-1.7.30.jar
snakeyaml-1.24.jar
snappy-java-1.1.7.5.jar
spark-catalyst_2.12-3.0.1.jar
spark-core_2.12-3.0.1.jar
spark-graphx_2.12-3.0.1.jar
spark-hive_2.12-3.0.1.jar
spark-hive-thriftserver_2.12-3.0.1.jar
spark-kubernetes_2.12-3.0.1.jar
spark-kvstore_2.12-3.0.1.jar
spark-launcher_2.12-3.0.1.jar
spark-mesos_2.12-3.0.1.jar
spark-mllib_2.12-3.0.1.jar
spark-mllib-local_2.12-3.0.1.jar
spark-network-common_2.12-3.0.1.jar
spark-network-shuffle_2.12-3.0.1.jar
spark-repl_2.12-3.0.1.jar
spark-sketch_2.12-3.0.1.jar
spark-sql_2.12-3.0.1.jar
spark-streaming_2.12-3.0.1.jar
spark-tags_2.12-3.0.1.jar
spark-tags_2.12-3.0.1-tests.jar
spark-unsafe_2.12-3.0.1.jar
spark-yarn_2.12-3.0.1.jar
spire_2.12-0.17.0-M1.jar
spire-macros_2.12-0.17.0-M1.jar
spire-platform_2.12-0.17.0-M1.jar
spire-util_2.12-0.17.0-M1.jar
ST4-4.0.4.jar
stax-api-1.0.1.jar
stax-api-1.0-2.jar
stream-2.9.6.jar
super-csv-2.2.0.jar
threeten-extra-1.5.0.jar
transaction-api-1.1.jar
univocity-parsers-2.9.0.jar
velocity-1.5.jar
xbean-asm7-shaded-4.15.jar
xercesImpl-2.12.0.jar
xml-apis-1.4.01.jar
xmlenc-0.52.jar
xz-1.5.jar
zjsonpatch-0.3.0.jar
zookeeper-3.4.14.jar
zstd-jni-1.4.4-3.jar

我认为错误是说我的类路径中可能没有某些东西，但我想不出那可能是什么......

Answer 1

我在使用 EMR 6.2.0(巧合地也是 Spark 3.0.1？)和 jupyter 笔记本的 AWS 上遇到了同样的问题。该问题似乎与 pyspark 的初始化方式有关。具体来说，py4j Java 导入。
以下导入应该在笔记本内核初始化时执行，但似乎被跳过。您只需要在每个 session 中运行一次。

from py4j.java_gateway import java_import
java_import(spark._sc._jvm, "org.apache.spark.sql.api.python.*")

现在 df.explain()按预期工作。
供将来引用 - 当您看到 'JavaPackage' object is not callable ，这通常意味着未找到目标 Java 类。该类不存在或未调用预期的导入。