Re: What is the best way to organize a join within a foreach?

for performing your task of converting to json and more. Thus performance wise, you can group batch per user records and also share the same connection in each partition if needed. Hope this will help. Regards Amit On Wed, 26 Apr, 2023, 15:58 Marco Costantini, < marco.costant...@rocketfncl.

[Spark SQL]: Spark 3.2 generates different results to query when columns name have mixed casing vs when they have same casing

Hi Team, I am running a query in Spark 3.2. val df1 = sc.parallelize(List((1,2,3,4,5),(1,2,3,4,5))).toDF("id","col2","col3","col4", "col5") val op_cols_same_case = List("id","col2","col3","col4", "col5", "id") val df2 = df1.select(op_cols_same_case .head, op_cols_same_case .tail: _*)

Re: Splittable or not?

. Thanks Amit On Wed, Sep 14, 2022 at 8:14 PM Sid wrote: > Hello experts, > > I know that Gzip and snappy files are not splittable i.e data won't be > distributed into multiple blocks rather it would try to load the data in a > single partition/block > > So, my question is whe

Re: Spark streaming

https://github.com/allwefantasy/spark-binlog Sent from my iPhone > On 19 Aug 2022, at 5:45 PM, sandra sukumaran > wrote: > >  > Dear Sir, > > > > Is there any possible method to fetch MySQL database bin log, with the > help of spark streaming. > Kafka streaming is not applicable

Re: Salting technique doubt

. It should be all possible values which you used to create salt. I hope you understand. Thanks On Sun, Jul 31, 2022 at 10:02 AM Sid wrote: > Hi Amit, > > Thanks for your reply. However, your answer doesn't seem different from > what I have explained. > > My question is after s

Re: Salting technique doubt

values of the sale. join_col x1_1 x1_2 x2_1 x2_2 And then join it like table1.join(table2, where tableA.new_join_col == tableB. join_col) Let me know if you have any questions. Regards Amit Joshi On Sat, Jul 30, 2022 at 7:16 PM Sid wrote: > Hi Team, > > I was trying to understand th

Re: Spark 3.1 Json4s-native jar compatibility

Thanks Sean/Martin, my bad, Spark version was 3.0.1 so after using json 3.6.6 it fixed the issue. Thanks Amit On Fri, Feb 4, 2022 at 3:37 PM Sean Owen wrote: > My guess is that something else you depend on is actually bringing in a > different json4s, or you're otherwise mixing library

Re: Spark 3.1 Json4s-native jar compatibility

Martin Sean, changed it to 3.7.0-MS still getting the below error. I am still getting the same issue Exception in thread "streaming-job-executor-0" java.lang.NoSuchMethodError: org.json4s.ShortTypeHints$.apply$default$2()Ljava/lang/String; Thanks Amit On Fri, Feb 4, 2022 at 9:03

Spark 3.1 Json4s-native jar compatibility

Hello, everyone. I am migrating my spark stream to spark version 3.1. I also upgraded json version as below libraryDependencies += "org.json4s" %% "json4s-native" % "3.7.0-M5" While running the job I getting an error for the below code where I am serializing the given inputs. implicit val

Re: Kafka to spark streaming

Thanks Mich. The link you shared have two options Kafka and Socket only. Thanks Amit On Sat, Jan 29, 2022 at 3:49 AM Mich Talebzadeh wrote: > So you have a classic architecture with spark receiving events through a > kafka topic via kafka-spark-connector, do something with it and sen

Kafka to spark streaming

Hello everyone, we have spark streaming application. We send request to stream through Akka actor using Kafka topic. We wait for response as it is real time. Just want a suggestion is there any better option like Livy where we can send and receive request to spark streaming. Thanks Amit

Fwd: Cassandra driver upgrade

)) Please suggest. it has blocked my production release. Thanks Amit

Re: Spark 3.2.0 upgrade

Amit name := """cft-common""" ThisBuild / version := "0.0.1-SNAPSHOT" ThisBuild/scalaVersion := "2.12.15" Test / fork := true Test / envVars := Map("env" -> "qa") val jacksonVersion = "2.13.1" val AkkaVe

Re: Spark 3.2.0 upgrade

tion: com.codahale.metrics.JmxReporter at java.base/jdk.internal.loader.BuiltinClassLoader.loadClass(BuiltinClassLoader.java:581) at java.base/jdk.internal.loader.ClassLoaders$AppClassLoader.loadClass(ClassLoaders.java:178) at java.base/java.lang.ClassLoader.loadClass(ClassLoader.java:521) On Thu, Jan 20, 2022 at 5:1

Spark 3.2.0 upgrade

ava:581) at java.base/jdk.internal.loader.ClassLoaders$AppClassLoader.loadClass(ClassLoaders.java:178) at java.base/java.lang.ClassLoader.loadClass(ClassLoader.java:521) Thanks Amit

Log4j2 upgrade

lass any idea how to resolve these. Thanks Amit

Re: [Spark] Optimize spark join on different keys for same data frame

Hi spark users, Can anyone please provide any views on the topic. Regards Amit Joshi On Sunday, October 3, 2021, Amit Joshi wrote: > Hi Spark-Users, > > Hope you are doing good. > > I have been working on cases where a dataframe is joined with more than > one dat

[Spark] Optimize spark join on different keys for same data frame

uot;key2") I was thinking of bucketing as a solution to speed up the joins. But if I bucket df1 on the key1,then join2 may not benefit, and vice versa (if bucket on key2 for df1). or Should we bucket df1 twice, one with key1 and another with key2? Is there a strategy to make both the joins faster for both the joins? Regards Amit Joshi

Kafka Sink Issue

) at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:193) Can anyone help here and let me know about why it happened and what is resolution for this. -- Thanks & Regards, Amit Sharma

Spark Null Pointer Exception

nks Amit

Re: Does Rollups work with spark structured streaming with state.

HI Mich, Thanks for your email. I have tried for the batch mode, Still looking to try in streaming mode. Will update you as per. Regards Amit Joshi On Thu, Jun 17, 2021 at 1:07 PM Mich Talebzadeh wrote: > OK let us start with the basic cube > > create a DF first > > scal

Re: Does Rollups work with spark structured streaming with state.

s as well? I hope I was able to make my point clear. Regards Amit Joshi On Wed, Jun 16, 2021 at 11:36 PM Mich Talebzadeh wrote: > > > Hi, > > Just to clarify > > Are we talking about* rollup* as a subset of a cube that computes > hierarchical subtotals from left to ri

Fwd: Does Rollups work with spark structured streaming with state.

Appreciate if someone could give some pointers in the question below. -- Forwarded message - From: Amit Joshi Date: Tue, Jun 15, 2021 at 12:19 PM Subject: [Spark]Does Rollups work with spark structured streaming with state. To: spark-user Hi Spark-Users, Hope you are all

Does Rollups work with spark structured streaming with state.

are saved. If rollups are not supported, then what is the standard way to handle this? Regards Amit Joshi

Re: multiple query with structured streaming in spark does not work

, but provide enough memory in the spark cluster to run both. Regards Amit Joshi On Sat, May 22, 2021 at 5:41 AM wrote: > Hi Amit; > > > > Thank you for your prompt reply and kind help. Wonder how to set the > scheduler to FAIR mode in python. Following code seems to me does not work &

Re: multiple query with structured streaming in spark does not work

Hi Jian, You have to use same spark session to run all the queries. And use the following to wait for termination. q1 = writestream.start q2 = writstream2.start spark.streams.awaitAnyTermination And also set the scheduler in the spark config to FAIR scheduler. Regards Amit Joshi

Re: [EXTERNAL] Urgent Help - Py Spark submit error

of the worker nodes. Use this command to pass it to driver *--files /appl/common/ftp/conf.json --conf spark.driver.extraJavaOptions="-Dconfig.file=conf.json* And make sure you are able to access the file location from worker nodes. Regards Amit Joshi On Sat, May 15, 2021 at 5:14 AM KhajaAsmath Moh

Re: jar incompatibility with Spark 3.1.1 for structured streaming with kafka

ope this helps. Regards Amit Joshi On Wed, Apr 7, 2021 at 8:14 PM Mich Talebzadeh wrote: > > Did some tests. The concern is SSS job running under YARN > > > *Scenario 1)* use spark-sql-kafka-0-10_2.12-3.1.0.jar > >- Removed spark-sql-kafka-0-10_2.12-3.1.0.jar from any

unit testing for spark code

Hi, can we write unit tests for spark code. Is there any specific framework? Thanks Amit

Re: [Spark Structured Streaming] Processing the data path coming from kafka.

Hi Boris, Thanks for your code block. I understood what you are trying to achieve in the code. But content in the file are json records seperated by new line. And we have to make the dataframe out of it, as some processing has to be done on it. Regards Amit On Monday, January 18, 2021, Boris

Re: [Spark Structured Streaming] Processing the data path coming from kafka.

Hi Boris, I need to do processing on the data present in the path. That is the reason I am trying to make the dataframe. Can you please provide the example of your solution? Regards Amit On Mon, Jan 18, 2021 at 7:15 PM Boris Litvak wrote: > Hi Amit, > > > > Why won’t you ju

[Spark Structured Streaming] Processing the data path coming from kafka.

this approach is fine? Specifically if there is some problem with with creating the dataframe after calling collect. If there is any better approach, please let know the same. Regards Amit Joshi

Re: Understanding Executors UI

I believe it’s a spark Ui issue which do not display correct value. I believe it is resolved for spark 3.0. Thanks Amit On Fri, Jan 8, 2021 at 4:00 PM Luca Canali wrote: > You report 'Storage Memory': 3.3TB/ 598.5 GB -> The first number is the > memory used for storage, the s

Re: Missing required configuration "partition.assignment.strategy" [ Kafka + Spark Structured Streaming ]

Hi All, Can someone pls hellp with this. Thanks On Tuesday, December 8, 2020, Amit Joshi wrote: > Hi Gabor, > > Pls find the logs attached. These are truncated logs. > > Command used : > spark-submit --verbose --packages org.apache.spark:spark-sql- > kafka-0-10_2.12:3.0.

Re: Missing required configuration "partition.assignment.strategy" [ Kafka + Spark Structured Streaming ]

-cores 1 --executor-memory 4g --files gs://x/jars_application.conf,gs://x/log4j.properties gs://x/a-synch-r-1.0-SNAPSHOT.jar For this I used a snapshot jar, not a fat jar. Regards Amit On Mon, Dec 7, 2020 at 10:15 PM Gabor Somogyi wrote: > Well, I can't do miracle without cluster and logs acc

Re: Spark UI Storage Memory

any suggestion please. Thanks Amit On Fri, Dec 4, 2020 at 2:27 PM Amit Sharma wrote: > Is there any memory leak in spark 2.3.3 version as mentioned in below > Jira. > https://issues.apache.org/jira/browse/SPARK-29055. > > Please let me know how to solve it. > > Thanks >

Re: Caching

Jayesh, but during logical plan spark would be knowing to use the same DF twice so it will optimize the query. Thanks Amit On Mon, Dec 7, 2020 at 1:16 PM Lalwani, Jayesh wrote: > Since DF2 is dependent on DF1, and DF3 is dependent on both DF1 and DF2, > without caching, Spark wil

Re: Caching

Sean, you mean if df is used more than once in transformation then use cache. But be frankly that is also not true because at many places even if df is used once with caching and without cache also it gives same result. How to decide should we use cache or not Thanks Amit On Mon, Dec 7, 2020

Re: Caching

a dataframe multiple times for transformation , use caching should be based on actions. In my case action is one save call on DF3. Please correct me if i am wrong. Thanks Amit On Mon, Dec 7, 2020 at 11:54 AM Theodoros Gkountouvas < theo.gkountou...@futurewei.com> wrote: > Hi Amit, > >

Caching

Amit

Re: Missing required configuration "partition.assignment.strategy" [ Kafka + Spark Structured Streaming ]

Hi Gabor, The code is very simple Kafka consumption of data. I guess, it may be the cluster. Can you please point out the possible problem toook for in the cluster? Regards Amit On Monday, December 7, 2020, Gabor Somogyi wrote: > + Adding back user list. > > I've had a look at the S

Re: Missing required configuration "partition.assignment.strategy" [ Kafka + Spark Structured Streaming ]

sue is that you are overriding the kafka-clients that comes >> with spark-sql-kafka-0-10_2.12 >> >> >> I'd try removing the kafka-clients and see if it works >> >> >> On Sun, 6 Dec 2020 at 08:01, Amit Joshi >> wrote: >> >>> Hi All, >

Missing required configuration "partition.assignment.strategy" [ Kafka + Spark Structured Streaming ]

no default value. at org.apache.kafka.common.config.ConfigDef.parse(ConfigDef.java:124)* I have tried setting up the "partition.assignment.strategy", then also its not working. Please help. Regards Amit Joshi

Re: Spark UI Storage Memory

Is there any memory leak in spark 2.3.3 version as mentioned in below Jira. https://issues.apache.org/jira/browse/SPARK-29055. Please let me know how to solve it. Thanks Amit On Fri, Dec 4, 2020 at 1:55 PM Amit Sharma wrote: > Can someone help me on this please. > > > Thanks >

Re: Spark UI Storage Memory

Can someone help me on this please. Thanks Amit On Wed, Dec 2, 2020 at 11:52 AM Amit Sharma wrote: > Hi , I have a spark streaming job. When I am checking the Excetors tab , > there is a Storage Memory column. It displays used memory /total memory. > What is used memory. Is it memor

Spark UI Storage Memory

Hi , I have a spark streaming job. When I am checking the Excetors tab , there is a Storage Memory column. It displays used memory /total memory. What is used memory. Is it memory in use or memory used so far. How would I know how much memory is unused at 1 point of time. Thanks Amit

Re: Cache not getting cleaned.

please find attached the screenshot of no active task but memory i still used . [image: image.png] On Sat, Nov 21, 2020 at 4:25 PM Amit Sharma wrote: > I am using df.cache and also unpersisting it. But when I check spark Ui > storage I still see cache memory usage. Do I need to do any

Cache not getting cleaned.

then usages should be 0. Thanks Amit

Re: Spark Exception

Russell i increased the rpc timeout to 240 seconds but i am still getting this issue once a while and after this issue my spark streaming job stuck and do not process any request then i need to restart this every time. Any suggestion please. Thanks Amit On Wed, Nov 18, 2020 at 12:05 PM Amit

Re: Out of memory issue

please help. Thanks Amit On Mon, Nov 9, 2020 at 4:18 PM Amit Sharma wrote: > Please find below the exact exception > > Exception in thread "streaming-job-executor-3" java.lang.OutOfMemoryError: > Java heap space > at java.util.Array

Re: Spark Exception

Please help. Thanks Amit On Wed, Nov 18, 2020 at 12:05 PM Amit Sharma wrote: > Hi, we are running a spark streaming job and sometimes it throws below > two exceptions . I am not understanding what is the difference between > these two exception for one timeout is 120 seconds an

Spark Exception

Hi, we are running a spark streaming job and sometimes it throws below two exceptions . I am not understanding what is the difference between these two exception for one timeout is 120 seconds and another is 600 seconds. What could be the reason for these Error running job streaming job

spark UI storage tab

inside a method and uncaching it. 2. Similarly on Executor tab it display 'Storage Memory' used and available, is that used means currently in use or memory used on that executor at some point of time (maximum memory used so far) Thanks Amit

Re: Out of memory issue

nfun$map$1.apply(Try.scala:237) at scala.util.Try$.apply(Try.scala:192) at scala.util.Success.map(Try.scala:237) On Sun, Nov 8, 2020 at 1:35 PM Amit Sharma wrote: > Hi , I am using 16 nodes spark cluster with below config > 1. Executor memory 8 GB > 2. 5 cores per executor

Re: Out of memory issue

Can you please help. Thanks Amit On Sun, Nov 8, 2020 at 1:35 PM Amit Sharma wrote: > Hi , I am using 16 nodes spark cluster with below config > 1. Executor memory 8 GB > 2. 5 cores per executor > 3. Driver memory 12 GB. > > > We have streaming job. We do not see problem

Out of memory issue

receive a request and process it but suddenly it’s start giving out of memory error . It will throw exception for 1 executor then throw for other executor also and it stop processing the request. Thanks Amit

Spark reading from cassandra

Hi, i have a question while we are reading from cassandra should we use partition key only in where clause from performance perspective or it does not matter from spark perspective because it always allows filtering. Thanks Amit

Re: [Spark SQL] does pyspark udf support spark.sql inside def

Can you pls post the schema of both the tables. On Wednesday, September 30, 2020, Lakshmi Nivedita wrote: > Thank you for the clarification.I would like to how can I proceed for > this kind of scenario in pyspark > > I have a scenario subtracting the total number of days with the number of >

Re: Query around Spark Checkpoints

eventual consistence. Regards Amit On Sunday, September 27, 2020, Debabrata Ghosh wrote: > Hi, > I had a query around Spark checkpoints - Can I store the checkpoints > in NoSQL or Kafka instead of Filesystem ? > > Regards, > > Debu >

Re: [pyspark 2.4] broadcasting DataFrame throws error

. It is possible this may not be the issue. You can check at your end the same problem. https://github.com/apache/spark/blame/master/sql/core/src/main/scala/org/apache/spark/sql/execution/CacheManager.scala#L219 And can you pls tell what issue was solved in spark 3, which you are referring. Regards Amit

Re: [pyspark 2.4] broadcasting DataFrame throws error

. Regards, Amit On Thursday, September 17, 2020, Rishi Shah wrote: > Hello All, > > Hope this email finds you well. I have a dataframe of size 8TB (parquet > snappy compressed), however I group it by a column and get a much smaller > aggregated dataframe of size 700 rows (just two columns

Re: Submitting Spark Job thru REST API?

Hi, There is other option like apache Livy which lets you submit the job using Rest api. Other option can be using AWS Datapipeline to configure your job as EMR activity. To activate pipeline, you need console or a program. Regards Amit On Thursday, September 3, 2020, Eric Beabes wrote

Re: [Spark Kafka Structured Streaming] Adding partition and topic to the kafka dynamically

Hi Jungtaek, Thanks for the input. I did tried and it worked. I got confused earlier after reading some blogs. Regards Amit On Friday, August 28, 2020, Jungtaek Lim wrote: > Hi Amit, > > if I remember correctly, you don't need to restart the query to reflect > the newly

Re: [Spark Kafka Structured Streaming] Adding partition and topic to the kafka dynamically

Any pointers will be appreciated. On Thursday, August 27, 2020, Amit Joshi wrote: > Hi All, > > I am trying to understand the effect of adding topics and partitions to a > topic in kafka, which is being consumed by spark structured streaming > applications. > > Do we have

[Spark Kafka Structured Streaming] Adding partition and topic to the kafka dynamically

the spark structured streaming application to read from the newly added partition to a topic? Kafka consumers have a meta data refresh property that works without restarting. Thanks advance. Regards Amit Joshi

Driver Information

of the executors or it is independent ? Thanks Amit

Re: help on use case - spark parquet processing

Can you keep option field in your case class. Thanks Amit On Thu, Aug 13, 2020 at 12:47 PM manjay kumar wrote: > Hi , > > I have a use case, > > where i need to merge three data set and build one where ever data is > available. > > And my dataset is a complex objec

[Spark-Kafka-Streaming] Verifying the approach for multiple queries

Hi, I have a scenario where a kafka topic is being written with different types of json records. I have to regroup the records based on the type and then fetch the schema and parse and write as parquet. I have tried structured programming. But dynamic schema is a constraint. So I have used

Re: Spark batch job chaining

Any help is appreciated. I have spark batch job based on condition I would like to start another batch job by invoking .sh file. Just want to know can we achieve that? Thanks Amit On Fri, Aug 7, 2020 at 3:58 PM Amit Sharma wrote: > Hi, I want to write a batch job which would call another ba

Spark batch job chaining

Hi, I want to write a batch job which would call another batch job based on condition. Can I call one batch job through another in scala or I can do it just by python script. Example would be really helpful. Thanks Amit

[SPARK-STRUCTURED-STREAMING] IllegalStateException: Race while writing batch 4

nk doesn't support multiple writers. It assumes there is only one writer writing to the path. Each query needs to use its own output directory. Is there a way to write the output to the same path by both queries, as I need the output at the same path.? Regards Amit Joshi

[SPARK-SQL] How to return GenericInternalRow from spark udf

"empl" => emplSchema } getGenericInternalRow(schema) } val data = udf(getData) Spark Version : 2.4.5 Please Help. Regards Amit Joshi

how to copy from one cassandra cluster to another

. Please let me know if there is any way to use spark batch job to copy data among two cassandra clusters. Thanks Amit

spark exception

Hi All, sometimes i get this error in spark logs. I notice few executors are shown as dead in the executor tab during this error. Although my job get success. Please help me out the root cause of this issue. I have 3 workers with 30 cores each and 64 GB RAM each. My job uses 3 cores per executor

Re: Garbage collection issue

Please help on this. Thanks Amit On Fri, Jul 17, 2020 at 2:34 PM Amit Sharma wrote: > Hi All, i am running the same batch job in my two separate spark clusters. > In one of the clusters it is showing GC warning on spark -ui under > executer tag. Garbage collection is taking lo

Re: Future timeout

Please help on this. Thanks Amit On Fri, Jul 17, 2020 at 9:10 AM Amit Sharma wrote: > Hi, sometimes my spark streaming job throw this exception Futures timed > out after [300 seconds]. > I am not sure where is the default timeout configuration. Can i increase > it.

Garbage collection issue

spark submit and using G1GC . Please let me know what could be the reason for GC slowness. Thanks Amit

Future timeout

Hi, sometimes my spark streaming job throw this exception Futures timed out after [300 seconds]. I am not sure where is the default timeout configuration. Can i increase it. Please help. Thanks Amit Caused by: java.util.concurrent.TimeoutException: Futures timed out after [300 seconds

Cassandra raw deletion

Hi, I have to delete certain raw from Cassandra during my spark batch process. Is there any way to delete Rawat using spark Cassandra connector. Thanks Amit

Truncate table

the table at step 2 I will lose the data in DF1 as it shows empty. I have two solutions 1. Store the DF1 in another temp table before truncating table A 2. Cache DF1 before truncating. Do we have any better solution ? Thanks Amit

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No of cores per executor.

I have set 5 cores per executor. Is there any formula to determine best combination of executor and cores and memory per core for better performance. Also when I am running local spark instance in my web jar getting better speed than running in cluster. Thanks Amit

issue with regexp_replace

Hi Team, I am trying to use regexp_replace in spark sql it throwing error expected , but found Scalar in 'reader', line 9, column 45: ... select translate(payload, '"', '"') as payload i am trying to remove all character from \\\" with "

Re: spark streaming exception

Please update me if any one knows about it. Thanks Amit On Thu, Oct 10, 2019 at 3:49 PM Amit Sharma wrote: > Hi , we have spark streaming job to which we send a request through our UI > using kafka. It process and returned the response. We are getting below > error and this

convert josn string in spark sql

Hi Team, I have kafka messages where json is coming as string how can create table after converting json string to json using spark sql

spark streaming exception

Hi , we have spark streaming job to which we send a request through our UI using kafka. It process and returned the response. We are getting below error and this stareming is not processing any request. Listener StreamingJobProgressListener threw an exception java.util.NoSuchElementException: key

Re: Driver vs master

Thanks Andrew but I am asking specific to driver memory not about executors memory. We have just one master and if each jobs driver.memory=4g and master nodes total memory is 16gb then we can not execute more than 4 jobs at a time. On Monday, October 7, 2019, Andrew Melo wrote: > Hi A

Driver vs master

. Thanks Amit

Re: Memory Limits error

Increasing your driver memory as 12g. On Thursday, August 15, 2019, Dennis Suhari wrote: > Hi community, > > I am using Spark on Yarn. When submiting a job after a long time I get an > error mesage and retry. > > It happens when I want to store the dataframe to a table. > >

Spark Streaming concurrent calls

. Thanks Amit

spark job getting hang

. (org.apache.spark.scheduler.AsyncEventQueue). Please suggest what how to debug this issue. Thanks Amit

Core allocation is scattered

-node 14=1 like that. Is there any conf property i need to change. I know with dynamic allocation we can use below but without dynamic allocation is there any? --conf "spark.dynamicAllocation.maxExecutors=2" Thanks Amit

Re: spark dataset.cache is not thread safe

please update me if any one knows how to handle it. On Sun, Jul 21, 2019 at 7:18 PM Amit Sharma wrote: > Hi , I wrote a code in future block which read data from dataset and cache > it which is used later in the code. I faced a issue that data.cached() data > will be replaced by c

spark dataset.cache is not thread safe

Hi , I wrote a code in future block which read data from dataset and cache it which is used later in the code. I faced a issue that data.cached() data will be replaced by concurrent running thread . Is there any way we can avoid this condition. val dailyData = callDetailsDS.collect.toList val

Re: spark standalone mode problem about executor add and removed again and again!

Do you have dynamic resource allocation enabled? On Wednesday, July 17, 2019, zenglong chen wrote: > Hi,all, > My standalone mode has two slaves.When I submit my job,the > localhost slave is working well,but second slave do add and remove executor > action always!The log are below: >

Dynamic allocation not working

Hi All, i have set the dynamic allocation propertt = true in my script file and also shuffle property in script as well as on all worker nodes spark-env file. I am using spark kafka streaming. I checked that as request comes no of cores allocation increase but even after request is completed no of

Spark-cluster slowness

under Executor tab i saw all the nodes there but do not see active tasks while task status is active. Please help me to find the root cause. Thanks Amit

Spark Kafka Streaming stopped

, org.apache.spark.SparkException: Couldn't find leader offsets for Set([techops-prod2,4], [techops-prod2,0])) Please let me know do we missed any setting so that streaming should not stopped even if couple of Kafka nodes are down. Thanks Amit

Re: Spark kafka streaming job stopped

Please provide update if any one knows. On Monday, June 10, 2019, Amit Sharma wrote: > > We have spark kafka sreaming job running on standalone spark cluster. We > have below kafka architecture > > 1. Two cluster running on two data centers. > 2. There is LTM on top on each

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