2024 Spark 5063

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org.apache.spark.SparkException: RDD transformations and actions can only be invoked by the driver, not inside of other transformations; for example, rdd1.map (x => rdd2.values.count () * x) is invalid because the values transformation and count action cannot be performed inside of the rdd1.map transformation. For more information, see SPARK-5063.This article describes how Apache Spark is related to Azure Databricks and the Azure Databricks Lakehouse Platform. Apache Spark is at the heart of the Azure Databricks Lakehouse Platform and is the technology powering compute clusters and SQL warehouses. Azure Databricks is an optimized platform for Apache Spark, providing an efficient and ...Jul 10, 2019 · It's a Spark problem :) When you apply function to Dataframe (or RDD) Spark needs to serialize it and send to all executors. It's not really possible to serialize FastText's code, because part of it is native (in C++). Possible solution would be to save model to disk, then for each spark partition load model from disk and apply it to the data. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. For understanding a bit better what I am trying to do, let me give an example illustrating a possible use case : Lets say given_df is a dataframe of sentences, where each sentence consist of some words separated by space.Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transforamtion. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063.Description Spark does not support nested RDDs or performing Spark actions inside of transformations; this usually leads to NullPointerExceptions (see SPARK-718 as one example). The confusing NPE is one of the most common sources of Spark questions on StackOverflow: Jun 7, 2023 · RuntimeError: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. Could I please get some help figuring this out? Thanks in advance! this rdd lacks a sparkcontext. it could happen in the following cases: . rdd transformations and actions are not invoked by the driver, . but inside of other transformations; for example, rdd1.map(x => rdd2.values.count() * x) is invalid because the values transformation and count action cannot be performed inside of the rdd1.map transformationJun 26, 2018 · For more information, see SPARK-5063. #88. mohaimenz opened this issue Jun 26, 2018 · 18 comments Comments. Copy link mohaimenz commented Jun 26, 2018. Mar 18, 2021 · SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. For understanding a bit better what I am trying to do, let me give an example illustrating a possible use case : Lets say given_df is a dataframe of sentences, where each sentence consist of some words separated by space. For more information, see SPARK-5063. #88. mohaimenz opened this issue Jun 26, 2018 · 18 comments Comments. Copy link mohaimenz commented Jun 26, 2018.Jun 7, 2023 · RuntimeError: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. Could I please get some help figuring this out? Thanks in advance! Feb 1, 2021 · I am getting the following error: PicklingError: Could not serialize object: Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. Jun 7, 2023 · RuntimeError: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. Could I please get some help figuring this out? Thanks in advance! This article describes how Apache Spark is related to Azure Databricks and the Azure Databricks Lakehouse Platform. Apache Spark is at the heart of the Azure Databricks Lakehouse Platform and is the technology powering compute clusters and SQL warehouses. Azure Databricks is an optimized platform for Apache Spark, providing an efficient and ...May 27, 2017 · broadcast [T] (value: T) (implicit arg0: ClassTag [T]): Broadcast [T] Broadcast a read-only variable to the cluster, returning a org.apache.spark.broadcast.Broadcast object for reading it in distributed functions. The variable will be sent to each cluster only once. You can only broadcast a real value, but an RDD is just a container of values ... For more information, see SPARK-5063. (2) When a Spark Streaming job recovers from checkpoint, this exception will be hit if a reference to an RDD not defined by the streaming job is used in DStream operations. For more information, See SPARK-13758. Not working even after I revoked it and I'm not using any objects. Code Updated:For more information, see SPARK-5063. apache-spark; apache-spark-sql; pyspark; Share. Improve this question. Follow edited Sep 30, 2019 at 2:52. Pyspark Developer.Oct 29, 2018 · 2. Think about Spark Broadcast variable as a Python simple data type like list, So the problem is how to pass a variable to the UDF functions. Here is an example: Suppose we have ages list d and a data frame with columns name and age. So we want to check if the age of each person is in ages list. For more information, see SPARK-5063. 5 results = train_and_evaluate (temp) init (self, fn, *args, **kwargs) init init (self, fn, *args, **kwargs) --> 788 self.fn = pickler.loads (pickler.dumps (self.fn)) --> 258 s = dill.dumps (o)I have a function that accepts a spark DataFrame and I would like to obtain the Spark context in which the DataFrames exists. The reason is that I want to get the SQLContext so I can run some SQL queries. sql_Context = SQLContext (output_df.sparkContext ()) sql_Context.registerDataFrameAsTable (output_df, "table1") sql_Context.sql ("select ...def localCheckpoint (self): """ Mark this RDD for local checkpointing using Spark's existing caching layer. This method is for users who wish to truncate RDD lineages while skipping the expensive step of replicating the materialized data in a reliable distributed file system.def textFile (self, name, minPartitions = None, use_unicode = True): """ Read a text file from HDFS, a local file system (available on all nodes), or any Hadoop-supported file system URI, and return it as an RDD of Strings.This item: Denso (5063) K20TXR Traditional Spark Plug, Pack of 1. $674. +. Powerbuilt 12 Millimeter 7-1/2-Inch Jam Nut Valve Adjustment Tool, Slotted Valve Adjusting Stud, Honda, Nissan, Toyota Vehicle Engines - 648828. $2697.May 27, 2017 · broadcast [T] (value: T) (implicit arg0: ClassTag [T]): Broadcast [T] Broadcast a read-only variable to the cluster, returning a org.apache.spark.broadcast.Broadcast object for reading it in distributed functions. The variable will be sent to each cluster only once. You can only broadcast a real value, but an RDD is just a container of values ... 3. Spark RDD Broadcast variable example. Below is a very simple example of how to use broadcast variables on RDD. This example defines commonly used data (country and states) in a Map variable and distributes the variable using SparkContext.broadcast () and then use these variables on RDD map () transformation. 4. Jul 13, 2021 · Could not serialize object: Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. Is there any way to run a SQL query for each row of a dataframe in PySpark? RDD transformations and actions can only be invoked by the driver, not inside of other transformations; for example, rdd1.map(lambda x: rdd2.values.count() * x) is invalid because the values transformation and count action cannot be performed inside of the rdd1.map transformation. For more information, see SPARK-5063. So when you say it should execute self.decode_module() inside the nodes, PySpark tries to pickle the whole (self) object (that contains a reference to the spark context). To fix that, you just need to remove the SparkContext reference from the telco_cn class and use a different approach like using the SparkContext before calling the class ...As explained in the SPARK-5063 "Spark does not support nested RDDs". You are trying to access centroids (RDD) in map on sig_vecs (RDD): docs = sig_vecs.map(lambda x: k_means.classify_docs(x, centroids)) Converting centroids to a local collection (collect?) and adjusting classify_docs should address the problem.Create a Function. The first step in creating a UDF is creating a Scala function. Below snippet creates a function convertCase () which takes a string parameter and converts the first letter of every word to capital letter. UDF’s take parameters of your choice and returns a value. val convertCase = (strQuote:String) => { val arr = strQuote ...May 5, 2022 · Error: Could not serialize object: Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. Description Spark does not support nested RDDs or performing Spark actions inside of transformations; this usually leads to NullPointerExceptions (see SPARK-718 as one example). The confusing NPE is one of the most common sources of Spark questions on StackOverflow:I downloaded a file and now I'm trying to write it as a dataframe to hdfs. import requests from pyspark import SparkContext, SparkConf conf = SparkConf().setAppName('Write Data').setMaster('loca...Could not serialize object: Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. Is there any way to run a SQL query for each row of a dataframe in PySpark?Nov 15, 2015 · I want to broadcast a hashmap in Python that I would like to use for lookups on worker nodes. class datatransform: # Constructor def __init__(self, lookupFileName, dataFileName): ... spark的调试问题. spark运行过程中的数据总是以RDD的方式存储，使用Logger等日志模块时，对RDD内数据无法识别，应先使用行为操作转化为scala数据结构然后输出。. scala Map 排序. 对于scala Map数据的排序，使用 scala.collection.immutable.ListMap 和 sortWiht (sortBy),具体用法如下 ... Spark nested transformations SPARK-5063. I am trying to get a filtered list of list of auctions around the time of specific winning auctions while using spark. The winning auction RDD, and the full auctions DD is made up of case classes with the format: I would like to filter the full auctions RDD where auctions occurred within 10 seconds of ...Could not serialize object: Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. Is there any way to run a SQL query for each row of a dataframe in PySpark?Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about TeamsJul 14, 2015 · Spark: Broadcast variables: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transforamtion. 0. spark的调试问题. spark运行过程中的数据总是以RDD的方式存储，使用Logger等日志模块时，对RDD内数据无法识别，应先使用行为操作转化为scala数据结构然后输出。. scala Map 排序. 对于scala Map数据的排序，使用 scala.collection.immutable.ListMap 和 sortWiht (sortBy),具体用法如下 ...In this blog, I will teach you the following with practical examples: Syntax of map () Using the map () function on RDD. Using the map () function on DataFrame. map () is a transformation used to apply the transformation function (lambda) on every element of RDD/DataFrame and returns a new RDD. Syntax: dataframe_name.map ()SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. from pyspark import SparkContext from awsglue.context import GlueContext from awsglue.transforms import SelectFields import ray import settings sc = SparkContext.getOrCreate () glue_context = GlueContext (sc) @ray.remote def ...Aug 21, 2017 · I downloaded a file and now I'm trying to write it as a dataframe to hdfs. import requests from pyspark import SparkContext, SparkConf conf = SparkConf().setAppName('Write Data').setMaster('loca... Throughout this book, we will focus on real-world applications of machine learning technology. While we may briefly delve into some theoretical aspects of machine learning algorithms and required maths for machine learning, the book will generally take a practical, applied approach with a focus on using examples and code to illustrate how to effectively use the features of Spark and MLlib, as ...For more information, see SPARK-5063. 原因： spark不允许在action或transformation中访问SparkContext，如果你的action或transformation中引用了self，那么spark会将整个对象进行序列化，并将其发到工作节点上，这其中就保留了SparkContext，即使没有显式的访问它，它也会在闭包内被引用 ...{"payload":{"allShortcutsEnabled":false,"fileTree":{"python/pyspark":{"items":[{"name":"cloudpickle","path":"python/pyspark/cloudpickle","contentType":"directory ...There are 41 replacement spark plugs for Denso 5063 . The cross references are for general reference only, please check for correct specifications and measurements for your application. Denso 5063 replacement spark plugs ACDelco HE2 Autolite 3923 Autolite 9064 Bosch F7LDCR Bosch F8LDCR Bosch FGR7DQE+ Bosch FGR7DQP Bosch FGR8KQC Bosch FLR7LDCUAbove example first creates a DataFrame, transform the data using broadcast variable and yields below output. You can also use the broadcast variable on the filter and joins. Below is a filter example. # Broadcast variable on filter filteDf= df.where((df['state'].isin(broadcastStates.value)))For more information, see SPARK-5063. _pickle.PicklingError: Could not serialize object: Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. 代码 Spark nested transformations SPARK-5063. I am trying to get a filtered list of list of auctions around the time of specific winning auctions while using spark. The winning auction RDD, and the full auctions DD is made up of case classes with the format: I would like to filter the full auctions RDD where auctions occurred within 10 seconds of ...Mar 6, 2023 · Cannot create pyspark dataframe on pandas pipelinedRDD. list_of_df = process_pitd_objects (objects) # returns a list of dataframes list_rdd = sc.parallelize (list_of_df) spark_df_list = list_rdd.map (lambda x: spark.createDataFrame (x)).collect () So I have a list of dataframes in python and I want to convert each dataframe to pyspark. The preservesPartitioning = true tells Spark that this map function doesn't modify the keys of rdd2; this will allow Spark to avoid re-partitioning rdd2 for any subsequent operations that join based on the (t, w) key. This broadcast could be inefficient since it involves a communications bottleneck at the driver.Feb 1, 2021 · I am getting the following error: PicklingError: Could not serialize object: Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. Apache Spark. Databricks Runtime 10.4 LTS includes Apache Spark 3.2.1. This release includes all Spark fixes and improvements included in Databricks Runtime 10.3 (Unsupported), as well as the following additional bug fixes and improvements made to Spark: [SPARK-38322] [SQL] Support query stage show runtime statistics in formatted explain mode.Feb 24, 2021 · spark.sql("select * from test") --need to pass select values as intput values to same function --used pandas df for calling function – pythonUser Feb 24, 2021 at 16:08 The preservesPartitioning = true tells Spark that this map function doesn't modify the keys of rdd2; this will allow Spark to avoid re-partitioning rdd2 for any subsequent operations that join based on the (t, w) key. This broadcast could be inefficient since it involves a communications bottleneck at the driver. Oct 10, 2019 · the following code: import dill fnc = lambda x:x dill.dumps(fnc, recurse=False) fails on Databricks notebook with the following error: Exception: It appears that you are attempting to reference Spa... Jul 7, 2022 · SPARK-5063 relates to better error messages when trying to nest RDD operations, which is not supported. ⭐ It's a usability issue, not a functional one. ⭐The root cause is the nesting of RDD operat... Programming Language Abap ActionScript Assembly BASIC C C# C++ Clojure Cobol CSS Dart Delphi Elixir Erlang F# Fortran Go Groovy Haskell The preservesPartitioning = true tells Spark that this map function doesn't modify the keys of rdd2; this will allow Spark to avoid re-partitioning rdd2 for any subsequent operations that join based on the (t, w) key. This broadcast could be inefficient since it involves a communications bottleneck at the driver.Aug 21, 2017 · I downloaded a file and now I'm trying to write it as a dataframe to hdfs. import requests from pyspark import SparkContext, SparkConf conf = SparkConf().setAppName('Write Data').setMaster('loca... broadcast [T] (value: T) (implicit arg0: ClassTag [T]): Broadcast [T] Broadcast a read-only variable to the cluster, returning a org.apache.spark.broadcast.Broadcast object for reading it in distributed functions. The variable will be sent to each cluster only once. You can only broadcast a real value, but an RDD is just a container of values ...17. You are passing a pyspark dataframe, df_whitelist to a UDF, pyspark dataframes cannot be pickled. You are also doing computations on a dataframe inside a UDF which is not acceptable (not possible). Keep in mind that your function is going to be called as many times as the number of rows in your dataframe, so you should keep computations ...RDD transformations and actions can only be invoked by the driver, not inside of other transformations; for example, rdd1.map(lambda x: rdd2.values.count() * x) is invalid because the values transformation and count action cannot be performed inside of the rdd1.map transformation. For more information, see SPARK-5063. GroupedData.applyInPandas(func, schema) ¶. Maps each group of the current DataFrame using a pandas udf and returns the result as a DataFrame. The function should take a pandas.DataFrame and return another pandas.DataFrame. For each group, all columns are passed together as a pandas.DataFrame to the user-function and the returned pandas ...The preservesPartitioning = true tells Spark that this map function doesn't modify the keys of rdd2; this will allow Spark to avoid re-partitioning rdd2 for any subsequent operations that join based on the (t, w) key. This broadcast could be inefficient since it involves a communications bottleneck at the driver.For more information, see SPARK-5063. edit: It seems the issue is that sklearn cross_validate() clones the estimator for each fit in a fashion similar to pickling the estimator object which is not allowed for PySpark GridsearchCV estimator because a SparkContext() object cannot/should not be pickled.May 27, 2017 · broadcast [T] (value: T) (implicit arg0: ClassTag [T]): Broadcast [T] Broadcast a read-only variable to the cluster, returning a org.apache.spark.broadcast.Broadcast object for reading it in distributed functions. The variable will be sent to each cluster only once. You can only broadcast a real value, but an RDD is just a container of values ... Spark nested transformations SPARK-5063. I am trying to get a filtered list of list of auctions around the time of specific winning auctions while using spark. The winning auction RDD, and the full auctions DD is made up of case classes with the format: I would like to filter the full auctions RDD where auctions occurred within 10 seconds of ...Jan 2, 2020 · PicklingError: Could not serialize object: Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. I am trying to write a function in Azure databricks. I would like to spark.sql inside the function. But it looks like I cannot use it with worker nodes. def SEL_ID(value, index): # some processing on value here ans = spark.sql("SELECT id FROM table WHERE bin = index") return ans spark.udf.register("SEL_ID", SEL_ID)spark的调试问题. spark运行过程中的数据总是以RDD的方式存储，使用Logger等日志模块时，对RDD内数据无法识别，应先使用行为操作转化为scala数据结构然后输出。. scala Map 排序. 对于scala Map数据的排序，使用 scala.collection.immutable.ListMap 和 sortWiht (sortBy),具体用法如下 ... df = spark.createDataFrame(data,schema=schema) Now we do two things. First, we create a function colsInt and register it. That registered function calls another function toInt (), which we don’t need to register. The first argument in udf.register (“colsInt”, colsInt) is the name we’ll use to refer to the function.org.apache.spark.SparkException: RDD transformations and actions can only be invoked by the driver, not inside of other transformations; for example, rdd1.map (x => rdd2.values.count () * x) is invalid because the values transformation and count action cannot be performed inside of the rdd1.map transformation. For more information, see SPARK-5063.The creation and usage of the broadcast variables for the data that is shared across the multiple stages and tasks. The broadcast variables are not sent to the executors with "sc. broadcast (variable)" call instead they will be sent to the executors when they are first used. The PySpark Broadcast variable is created using the "broadcast (v ...Jun 7, 2023 · RuntimeError: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. Labels: Broadcast variable. Sparkcontext. 2_image.png.png. 37 KB. Oct 8, 2018 · I'm trying to calculate the Pearson correlation between two DStreams using sliding window in Pyspark. But I keep getting the following error: Traceback (most recent call last): File "/home/zeinab/ WARN ParallelCollectionRDD: Spark does not support nested RDDs (see SPARK-5063) par: org.apache.spark.rdd.RDD[org.apache.spark.rdd.RDD[String]] = ParallelCollectionRDD[2] at parallelize at :28. Question 1. How does a parallelCollection work?. Question 2. Can I iterate through them and perform transformation? Question 3Jan 3, 2018 · For more information, see SPARK-5063. (2) When a Spark Streaming job recovers from checkpoint, this exception will be hit if a reference to an RDD not defined by the streaming job is used in DStream operations. For more information, See SPARK-13758. Not working even after I revoked it and I'm not using any objects. Code Updated: def localCheckpoint (self): """ Mark this RDD for local checkpointing using Spark's existing caching layer. This method is for users who wish to truncate RDD lineages while skipping the expensive step of replicating the materialized data in a reliable distributed file system.Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. I also tried with the following (simple) neural network and command, and I receive EXACTLY the same errordef localCheckpoint (self): """ Mark this RDD for local checkpointing using Spark's existing caching layer. This method is for users who wish to truncate RDD lineages while skipping the expensive step of replicating the materialized data in a reliable distributed file system.For more information, see SPARK-5063. apache-spark; apache-spark-sql; pyspark; Share. Improve this question. Follow edited Sep 30, 2019 at 2:52. Pyspark Developer.Jul 21, 2020 · For more information, see SPARK-5063. Super simple EXAMPLE app to try and run some calculations in parallel. Works (sometimes) but most times crashes with the above exception.

WARN ParallelCollectionRDD: Spark does not support nested RDDs (see SPARK-5063) par: org.apache.spark.rdd.RDD[org.apache.spark.rdd.RDD[String]] = ParallelCollectionRDD[2] at parallelize at :28. Question 1. How does a parallelCollection work?. Question 2. Can I iterate through them and perform transformation? Question 3. Studio apartments dallas under dollar800

pyspark.SparkContext.broadcast. ¶. SparkContext.broadcast(value: T) → pyspark.broadcast.Broadcast [ T] [source] ¶. Broadcast a read-only variable to the cluster, returning a Broadcast object for reading it in distributed functions. The variable will be sent to each cluster only once. New in version 0.7.0. Parameters. valueT. Throughout this book, we will focus on real-world applications of machine learning technology. While we may briefly delve into some theoretical aspects of machine learning algorithms and required maths for machine learning, the book will generally take a practical, applied approach with a focus on using examples and code to illustrate how to effectively use the features of Spark and MLlib, as ...Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. However, I am able to successfully implement using multithreading:The issue is that, as self._mapping appears in the function addition, when applying addition_udf to the pyspark dataframe, the object self (i.e. the AnimalsToNumbers class) has to be serialized but it can’t be. A (surprisingly simple) way is to create a reference to the dictionary ( self._mapping) but not the object: AnimalsToNumbers (spark ...WARN ParallelCollectionRDD: Spark does not support nested RDDs (see SPARK-5063) par: org.apache.spark.rdd.RDD[org.apache.spark.rdd.RDD[String]] = ParallelCollectionRDD[2] at parallelize at :28. Question 1. How does a parallelCollection work?. Question 2. Can I iterate through them and perform transformation? Question 3Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about Teamsdf = spark.createDataFrame(data,schema=schema) Now we do two things. First, we create a function colsInt and register it. That registered function calls another function toInt (), which we don’t need to register. The first argument in udf.register (“colsInt”, colsInt) is the name we’ll use to refer to the function.Topics. Adding Spark and PySpark jobs in AWS Glue. Using auto scaling for AWS Glue. Tracking processed data using job bookmarks. Workload partitioning with bounded execution. AWS Glue Spark shuffle plugin with Amazon S3. Monitoring AWS Glue Spark jobs.PicklingError: Could not serialize object: Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063.@G_cy the broadcast is an optimization of serialization. With serialization, Spark would need to serialize the map with each task dispatched to the executors.Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. #88Exception: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transforamtion. SparkContext can only be used on the driver, not in code that it run on workers. For more information, see SPARK-5063. Instead of that official documentation recommends something like this:Dec 27, 2016 · WARN ParallelCollectionRDD: Spark does not support nested RDDs (see SPARK-5063) par: org.apache.spark.rdd.RDD[org.apache.spark.rdd.RDD[String]] = ParallelCollectionRDD[2] at parallelize at :28. Question 1. How does a parallelCollection work?. Question 2. Can I iterate through them and perform transformation? Question 3 .

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