Correction. We found out that Spark extracts data from mssql database column by column. Spark divides data by column. Then it executes 10 jobs to pull data from mssql database.
Is there a way that we can run those jobs in parallel or increse/decrease the number of jobs? According to what criteria does Spark run jobs ,especially 10 jobs? Onur EKİNCİ Bilgi Yönetimi Yöneticisi Knowledge Management Manager m:+90 553 044 2341 d:+90 212 329 7000 İTÜ Ayazağa Kampüsü, Teknokent ARI4 Binası 34469 Maslak İstanbul - Google Maps<http://www.innova.com.tr/istanbul.asp> <http://www.innova.com.tr/><http://www.innova.com.tr/><http://www.innova.com.tr/>[cid:imza_2d4cbd2e-9f86-452e-8fa7-5851198cb9af.png]<http://www.innova.com.tr/><http://www.innova.com.tr> From: Onur EKİNCİ Sent: Tuesday, January 16, 2018 2:16 PM To: 'Eyal Zituny' <eyal.zit...@equalum.io> Cc: user@spark.apache.org Subject: RE: Run jobs in parallel in standalone mode Hi Eyal, Thank you for your help. The following commands worked in terms of running multiple executors simultaneously. However, Spark repeats the 10 same jobs consecutively. It had been doing it before as well. The jobs are extracting data from Mssql. Why would it run the same job 10 times? .option("numPartitions", 4) .option("partitionColumn", "MUHASEBESUBE_KD") .option("lowerBound", 0) .option("upperBound", 1000) [cid:image003.jpg@01D38EDD.64427570] From: Eyal Zituny [mailto:eyal.zit...@equalum.io] Sent: Tuesday, January 16, 2018 12:13 PM To: Onur EKİNCİ <oeki...@innova.com.tr<mailto:oeki...@innova.com.tr>> Cc: Richard Qiao <richardqiao2...@gmail.com<mailto:richardqiao2...@gmail.com>>; user@spark.apache.org<mailto:user@spark.apache.org> Subject: Re: Run jobs in parallel in standalone mode hi, I'm not familiar with the Kinetica spark driver, but it seems that your job has a single task which might indicate that you have a single partition in the df i would suggest to try to create your df with more partitions, this can be done by adding the following options when reading the source: .option("numPartitions", 4) .option("partitionColumn", "id") .option("lowerBound", 0) .option("upperBound", 1000) take a look at the spark jdbc configuration<https://spark.apache.org/docs/latest/sql-programming-guide.html#jdbc-to-other-databases> for more info you can also do df.repartition(10) but that might be less efficient since the reading from the source will not be in parallel hope it will help Eyal On Tue, Jan 16, 2018 at 11:01 AM, Onur EKİNCİ <oeki...@innova.com.tr<mailto:oeki...@innova.com.tr>> wrote: Sorry it is not oracle. It is Mssql. Do you have any opinion for the solution. I really appreciate Onur EKİNCİ Bilgi Yönetimi Yöneticisi Knowledge Management Manager m:+90 553 044 2341<tel:+90%20553%20044%2023%2041> d:+90 212 329 7000<tel:(212)%20329-7000> İTÜ Ayazağa Kampüsü, Teknokent ARI4 Binası 34469 Maslak İstanbul - Google Maps<http://www.innova.com.tr/istanbul.asp> [cid:image004.png@01D38EDD.64427570]<http://www.innova.com.tr/> From: Richard Qiao [mailto:richardqiao2...@gmail.com<mailto:richardqiao2...@gmail.com>] Sent: Tuesday, January 16, 2018 11:59 AM To: Onur EKİNCİ <oeki...@innova.com.tr<mailto:oeki...@innova.com.tr>> Cc: user@spark.apache.org<mailto:user@spark.apache.org> Subject: Re: Run jobs in parallel in standalone mode Curious you are using"jdbc:sqlserve" to connect oracle, why? Also kindly reminder scrubbing your user id password. Sent from my iPhone On Jan 16, 2018, at 03:00, Onur EKİNCİ <oeki...@innova.com.tr<mailto:oeki...@innova.com.tr>> wrote: Hi, We are trying to get data from an Oracle database into Kinetica database through Apache Spark. We installed Spark in standalone mode. We executed the following commands. However, we have tried everything but we couldnt manage to run jobs in parallel. We use 2 IBM servers each of which has 128cores and 1TB memory. We also added in the spark-defaults.conf : spark.executor.memory=64g spark.executor.cores=32 spark.default.parallelism=32 spark.cores.max=64 spark.scheduler.mode=FAIR spark.sql.shuffle.partions=32 On the machine: 10.20.10.228 ./start-master.sh --webui-port 8585 ./start-slave.sh --webui-port 8586 spark://10.20.10.228:7077<http://10.20.10.228:7077> On the machine 10.20.10.229<http://10.20.10.229>: ./start-slave.sh --webui-port 8586 spark://10.20.10.228:7077<http://10.20.10.228:7077> On the machine: 10.20.10.228<http://10.20.10.228>: We start the Spark shell: spark-shell --master spark://10.20.10.228:7077<http://10.20.10.228:7077> Then we make configurations: val df = spark.read.format("jdbc").option("url", "jdbc:sqlserver://10.20.10.<http://10.20.10.>148:1433;databaseName=testdb").option("dbtable", "dbo.temp_muh_hareket").option("user", "gpudb").option("password", "Kinetica2017!").load() import com.kinetica.spark._ val lp = new LoaderParams("http://10.20.10.228:9191";, "jdbc:simba://10.20.10.228<http://10.20.10.228>:9292;ParentSet=MASTER", "muh_hareket_20", false,"",100000,true,true,"admin","Kinetica2017!",4, true, true, 1) SparkKineticaLoader.KineticaWriter(df,lp); The above commands successfully work. The data transfer completes. However, jobs work serially not in parallel. Also executors work serially and take turns. They donw work in parallel. How can we make jobs work in parallel? <image002.jpg> <image006.jpg> <image008.jpg> <image012.jpg> <image013.jpg> <image014.jpg> I really appreciate your help. We have done everything that we could. Onur EKİNCİ Bilgi Yönetimi Yöneticisi Knowledge Management Manager m:+90 553 044 2341<tel:+90%20553%20044%2023%2041> d:+90 212 329 7000<tel:(212)%20329-7000> İTÜ Ayazağa Kampüsü, Teknokent ARI4 Binası 34469 Maslak İstanbul - Google Maps<http://www.innova.com.tr/istanbul.asp> <imza_2d4cbd2e-9f86-452e-8fa7-5851198cb9af.png><http://www.innova.com.tr/> Yasal Uyarı : Bu elektronik posta işbu linki kullanarak ulaşabileceğiniz Koşul ve Şartlar dokümanına tabidir : http://www.innova.com.tr/disclaimer-yasal-uyari.asp
