Issues with Fabric Lakehouse Solution Not Being Resolved – Need Support and Assistance
how how your solution is not working fabric lakehouse..i don't what will issues.... looks like you gusy are intrested to help/support to reslove the issues...
how how your solution is not working fabric lakehouse..i don't what will issues.... looks like you gusy are intrested to help/support to reslove the issues...
mahesh s. I would encourage you to watch the Databricks demo video which shows how you can label through the notebook which is where you seem to be struck as per your messages. You can also go over the Fabric step by step guide. If you feel something is not clear, please do let us know here and we will update the docs. If you want, you can contribute to the docs and help the community too.
Thanks ... can you send me write version of the url "Fabric step by step guide" ..which is correctly,, i have multiple versions, github ,website etc..
I followed as per your document...i am getting on error on cell 21 options = ClientOptions([ClientOptions.PHASE,"trainMatch"]) #Zingg execution for the given phase zingg = ZinggWithSpark(args, options) zingg.initAndExecute()
The error is def __init__(self, target_id, gateway_client): 1318 """ 1319 :param target_id: the identifier of the object on the JVM side. Given 1320 by the JVM. 1321 -> 1322 :param gateway_client: the gateway client used to communicate with 1323 the JVM. 1324 """ 1325 self._target_id = target_id 1326 self._gateway_client = gateway_client File /opt/spark/python/lib/pyspark.zip/pyspark/errors/exceptions/captured.py:179, in capture_sql_exception.<locals>.deco(*a, **kw) 177 def deco(*a: Any, **kw: Any) -> Any: 178 try: --> 179 return f(*a, **kw) 180 except Py4JJavaError as e: 181 converted = convert_exception(e.java_exception) File ~/cluster-env/trident_env/lib/python3.11/site-packages/py4j/protocol.py:326, in get_return_value(answer, gateway_client, target_id, name) 324 value = OUTPUT_CONVERTER[type](answer[2:], gateway_client) 325 if answer[1] == REFERENCE_TYPE: --> 326 raise Py4JJavaError( 327 "An error occurred while calling {0}{1}{2}.\n". 328 format(target_id, ".", name), value) 329 else: 330 raise Py4JError( 331 "An error occurred while calling {0}{1}{2}. Trace:\n{3}\n". 332 format(target_id, ".", name, value)) Py4JJavaError: An error occurred while calling o10902.execute. : zingg.common.client.ZinggClientException: Unable to train as insufficient training data found. Training data has 0 matches and 0 non matches. Please run findTrainingData and label till you have sufficient labelled data to build the models at zingg.common.core.executor.Trainer.verifyTraining(Trainer.java:78) at zingg.common.core.executor.Trainer.execute(Trainer.java:37) at zingg.common.core.executor.TrainMatcher.execute(TrainMatcher.java:33) at zingg.common.client.Client.execute(Client.java:281) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.base/java.lang.reflect.Method.invoke(Method.java:566) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374) 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.base/java.lang.Thread.run(Thread.java:829)
please help me on this...my boss want this demo...