我尝试运行这些示例(例如spark/examples/src/main/python/ml/fpgrowth)_示例.py)在Jupyter笔记本里的Pypark。但是,每当我尝试执行“spark.(some function)”时,都会遇到异常。在这个例子中,确实是这样spark.createDataFrame,但我也试过了火花。阅读结果也是一样。我还尝试创建了我自己的sparkSession,并使用了已在Jupyter笔记本中启动的sparkSession,但都没有正确运行。我能找到的主要例外是AnalysisException:'java.lang.RuntimeException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient;'
代码:
# $example on$
from pyspark.ml.fpm import FPGrowth
# $example off$
from pyspark.sql import SparkSession
if __name__ == "__main__":
spark = SparkSession\
.builder\
.appName("FPGrowthExample")\
.getOrCreate()
# $example on$
df = spark.createDataFrame([
(0, [1, 2, 5]),
(1, [1, 2, 3, 5]),
(2, [1, 2])
], ["id", "items"])
例外情况:
AnalysisException Traceback (most recent call last) <ipython-input-2-512249e97d93> in <module>() 3 (1, [1, 2, 3, 5]), 4 (2, [1, 2]) ----> 5 ], ["id", "items"]) D:\spark\spark-2.3.1-bin-hadoop2.7\python\pyspark\sql\session.py in createDataFrame(self, data, schema, samplingRatio, verifySchema) 691 rdd, schema = self._createFromLocal(map(prepare, data), schema) 692 jrdd = self._jvm.SerDeUtil.toJavaArray(rdd._to_java_object_rdd()) --> 693 jdf = self._jsparkSession.applySchemaToPythonRDD(jrdd.rdd(), schema.json()) 694 df = DataFrame(jdf, self._wrapped) 695 df._schema = schema D:\spark\spark-2.3.1-bin-hadoop2.7\python\lib\py4j-0.10.7-src.zip\py4j\java_gateway.py in __call__(self, *args) 1255 answer = self.gateway_client.send_command(command) 1256 return_value = get_return_value( -> 1257 answer, self.gateway_client, self.target_id, self.name) 1258 1259 for temp_arg in temp_args: D:\spark\spark-2.3.1-bin-hadoop2.7\python\pyspark\sql\utils.py in deco(*a, **kw) 67 e.java_exception.getStackTrace())) 68 if s.startswith('org.apache.spark.sql.AnalysisException: '): ---> 69 raise AnalysisException(s.split(': ', 1)[1], stackTrace) 70 if s.startswith('org.apache.spark.sql.catalyst.analysis'): 71 raise AnalysisException(s.split(': ', 1)[1], stackTrace) AnalysisException: 'java.lang.RuntimeException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient;' --------------------------------------------------------------------------- Py4JJavaError Traceback (most recent call last) D:\spark\spark-2.3.1-bin-hadoop2.7\python\pyspark\sql\utils.py in deco(*a, **kw) 62 try: ---> 63 return f(*a, **kw) 64 except py4j.protocol.Py4JJavaError as e: D:\spark\spark-2.3.1-bin-hadoop2.7\python\lib\py4j-0.10.7-src.zip\py4j\protocol.py in get_return_value(answer, gateway_client, target_id, name) 327 "An error occurred while calling {0}{1}{2}.\n". --> 328 format(target_id, ".", name), value) 329 else: Py4JJavaError: An error occurred while calling o24.applySchemaToPythonRDD. : org.apache.spark.sql.AnalysisException: java.lang.RuntimeException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient; at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:106) at org.apache.spark.sql.hive.HiveExternalCatalog.databaseExists(HiveExternalCatalog.scala:194) at org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:114) at org.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:102) at org.apache.spark.sql.hive.HiveSessionStateBuilder.externalCatalog(HiveSessionStateBuilder.scala:39) at org.apache.spark.sql.hive.HiveSessionStateBuilder.catalog$lzycompute(HiveSessionStateBuilder.scala:54) at org.apache.spark.sql.hive.HiveSessionStateBuilder.catalog(HiveSessionStateBuilder.scala:52) at org.apache.spark.sql.hive.HiveSessionStateBuilder$$anon$1.<init>(HiveSessionStateBuilder.scala:69) at org.apache.spark.sql.hive.HiveSessionStateBuilder.analyzer(HiveSessionStateBuilder.scala:69) at org.apache.spark.sql.internal.BaseSessionStateBuilder$$anonfun$build$2.apply(BaseSessionStateBuilder.scala:293) at org.apache.spark.sql.internal.BaseSessionStateBuilder$$anonfun$build$2.apply(BaseSessionStateBuilder.scala:293) at org.apache.spark.sql.internal.SessionState.analyzer$lzycompute(SessionState.scala:79) at org.apache.spark.sql.internal.SessionState.analyzer(SessionState.scala:79) at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:57) at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:55) at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:47) at org.apache.spark.sql.dataset$.ofRows(Dataset.scala:74) at org.apache.spark.sql.SparkSession.internalCreateDataFrame(SparkSession.scala:577) at org.apache.spark.sql.SparkSession.applySchemaToPythonRDD(SparkSession.scala:752) at org.apache.spark.sql.SparkSession.applySchemaToPythonRDD(SparkSession.scala:737) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) at java.lang.reflect.Method.invoke(Unknown Source) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:238) at java.lang.Thread.run(Unknown Source) Caused by: java.lang.RuntimeException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522) at org.apache.spark.sql.hive.client.HiveClientImpl.newState(HiveClientImpl.scala:180) at org.apache.spark.sql.hive.client.HiveClientImpl.<init>(HiveClientImpl.scala:114) at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source) at java.lang.reflect.Constructor.newInstance(Unknown Source) at org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:264) at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:385) at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:287) at org.apache.spark.sql.hive.HiveExternalCatalog.client$lzycompute(HiveExternalCatalog.scala:66) at org.apache.spark.sql.hive.HiveExternalCatalog.client(HiveExternalCatalog.scala:65) at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply$mcZ$sp(HiveExternalCatalog.scala:195) at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply(HiveExternalCatalog.scala:195) at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply(HiveExternalCatalog.scala:195) at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97) ... 30 more Caused by: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1523) at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:86) at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:132) at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:104) at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:3005) at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:3024) at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:503) ... 45 more Caused by: java.lang.reflect.InvocationTargetException at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source) at java.lang.reflect.Constructor.newInstance(Unknown Source) at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1521) ... 51 more
按照以下步骤为我工作
JAVA8:https://www.guru99.com/install-java.html
阿纳康达:https://www.anaconda.com/distribution/
jupyter中的Pyspark:https://changhsinlee.com/install-pyspark-windows-jupyter/
^{pr2}$对于Spark版本2.3.1,我可以创建如下数据帧:
通过从文件\spark\python\pyspark中删除这个函数\外壳.py在
^{pr2}$我无法进一步解释,但我想,由于我的windows10没有安装Hive,删除这一行会使PySpark不再使用Hive,而是使用其他任何可以创建数据帧的东西。我希望这有帮助。在
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