Using it on FCFS is kind of dumb because I have yet to see an OCR on mobile that is fast enough to compete with somebody actively watching the screen so it will accept anything and everything, that's going to lead to a huge drop rate and less round robin orders as it takes $7 curbsides and 50 mile dotcoms. Where bots can be used with spark is on FCFS orders and abusing surge pay where you cancel your own order then accept it again for $2.50 show up fee + $8 surge. There is no way of altering the round robin process aside from proximity or having good metrics neither of which is cheating and if you can hack walmart's systems to give you better offers well what the fuck are you doing driving for spark go work in cyber security for a 6 figure salary or hell just sell the hacked data on the dark web. The round robin system has eliminated that because it's walmart's algo that decides who gets the offers and they get sent directly to you and you alone. Py4j.Gatewa圜n(Gatewa圜onnection.java:238)Īt io. there were 3 bots that I know of in the past for spark but that was when all offers were FCFS and whoever had the fastest fingers (or bot) won the best offers. java.JavaSparkContext.(JavaSparkContext.scala:58) This may indicate an error, since only one SparkContext may be running in this JVM (see SPARK-2243). : Cannot assign requested address: bind: Service 'sparkDriver' failed after 16 retries (on a random free port)! Consider explicitly setting the appropriate binding address for the service 'sparkDriver' (for example for SparkDriver) to the correct binding address.Īt .ServerSocketChannelImpl.bind(Unknown Source)Īt io.NioServerSocketChannel.doBind(NioServerSocketChannel.java:128)Īt io.$AbstractUnsafe.bind(AbstractChannel.java:558)Īt io.$HeadContext.bind(DefaultChannelPipeline.java:1283)Īt io.(AbstractChannelHandlerContext.java:501)Īt io.(AbstractChannelHandlerContext.java:486)Īt io.(DefaultChannelPipeline.java:989)Īt io.(AbstractChannel.java:254)Īt io.$2.run(AbstractBootstrap.java:364)Īt io.safeExecute(AbstractEventExecutor.java:163)Īt io.runAllTasks(SingleThreadEventExecutor.java:403)Īt io.run(NioEventLoop.java:463)Īt io.$5.run(SingleThreadEventExecutor.java:858)Īt io.$n(DefaultThreadFactory.java:138)ġ9/05/14 21:33:21 WARN SparkContext: Another SparkContext is being constructed (or threw an exception in its constructor). ![]() You may check whether configuring an appropriate binding address.ġ9/05/14 21:33:21 ERROR SparkContext: Error initializing SparkContext. For SparkR, use setLogLevel(newLevel).ġ9/05/14 21:33:21 WARN Utils: Service 'sparkDriver' could not bind on a random free port. To adjust logging level use sc.setLogLevel(newLevel). Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties using builtin-java classes where applicable Type "help", "copyright", "credits" or "license" for more information.ġ9/05/14 21:33:19 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform. How can I fix this?Įrror message: Python 3.7.1 (default, Dec 10 2018, 22:54:23) :: Anaconda, Inc. ![]() already tried: export SPARK_LOCAL_IP="127.0.0.1" in load-spark-env.sh and other hostname related solutionsīelow error occurs when starting from cmd (running from inside P圜harm yields the same).added spark folder and zips to Content Root.declared SPARK_HOME, JAVA_HOME and HADOOP_HOME in Path.I use the P圜harm IDE on a Windows 10 machine. I have been trying to get PySpark to work.
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