Re: Multiple Kafka Spark Streaming Dataframe Join query

> and compact data format if CSV isn't required. > > -- > *From:* Aakash Basu <aakash.spark@gmail.com> > *Sent:* Friday, March 16, 2018 9:12:39 AM > *To:* sagar grover > *Cc:* Bowden, Chris; Tathagata Das; Dylan Guedes; Georg Heiler; user; > jagrati.go...@myntra.com

Re: Multiple Kafka Spark Streaming Dataframe Join query

;>>> >>>> Cool! Shall try it and revert back tomm. >>>> >>>> Thanks a ton! >>>> >>>> On 15-Mar-2018 11:50 PM, "Bowden, Chris" <chris.bow...@microfocus.com> >>>> wrote: >>>> >>>>>

Re: Multiple Kafka Spark Streaming Dataframe Join query

re granular, if we imagine your source is registered as >>>> a temp view named "foo": >>>> >>>> SELECT >>>> >>>> split(cast(value as string), ',')[0] as id, >>>> >>>> split(cast(value as string), ',')[1]

Re: Multiple Kafka Spark Streaming Dataframe Join query

t;> offers from_csv out of the box as an expression (although CSV is well >>> supported as a data source). You could implement an expression by reusing a >>> lot of the supporting CSV classes which may result in a better user >>> experience vs. explicitly using split

Re: Multiple Kafka Spark Streaming Dataframe Join query

may result in a better user >> experience vs. explicitly using split and array indices, etc. In this >> simple example, casting the binary to a string just works because there is >> a common understanding of string's encoded as bytes between Spark and Kafka >> by default. >&g

Re: Multiple Kafka Spark Streaming Dataframe Join query

--- > *From:* Aakash Basu <aakash.spark@gmail.com> > *Sent:* Thursday, March 15, 2018 10:48:45 AM > *To:* Bowden, Chris > *Cc:* Tathagata Das; Dylan Guedes; Georg Heiler; user > *Subject:* Re: Multiple Kafka Spark Streaming Dataframe Join query > > Hey Chris, > &g

Re: Multiple Kafka Spark Streaming Dataframe Join query

com> Sent: Thursday, March 15, 2018 7:52:28 AM To: Tathagata Das Cc: Dylan Guedes; Georg Heiler; user Subject: Re: Multiple Kafka Spark Streaming Dataframe Join query Hi, And if I run this below piece of code - from pyspark.sql import SparkSession import time class test: spark

Re: Multiple Kafka Spark Streaming Dataframe Join query

; From: Aakash Basu <aakash.spark@gmail.com> > Sent: Thursday, March 15, 2018 7:52:28 AM > To: Tathagata Das > Cc: Dylan Guedes; Georg Heiler; user > Subject: Re: Multiple Kafka Spark Streaming Dataframe Join query > > Hi, > > And if I run this below piece of code - > >

Re: Multiple Kafka Spark Streaming Dataframe Join query

Hi, And if I run this below piece of code - from pyspark.sql import SparkSession import time class test: spark = SparkSession.builder \ .appName("DirectKafka_Spark_Stream_Stream_Join") \ .getOrCreate() # ssc = StreamingContext(spark, 20) table1_stream =

Re: Multiple Kafka Spark Streaming Dataframe Join query

Any help on the above? On Thu, Mar 15, 2018 at 3:53 PM, Aakash Basu wrote: > Hi, > > I progressed a bit in the above mentioned topic - > > 1) I am feeding a CSV file into the Kafka topic. > 2) Feeding the Kafka topic as readStream as TD's article suggests. > 3) Then,

Re: Multiple Kafka Spark Streaming Dataframe Join query

Hi, I progressed a bit in the above mentioned topic - 1) I am feeding a CSV file into the Kafka topic. 2) Feeding the Kafka topic as readStream as TD's article suggests. 3) Then, simply trying to do a show on the streaming dataframe, using queryName('XYZ') in the writeStream and writing a sql

Re: Multiple Kafka Spark Streaming Dataframe Join query

Thanks to TD, the savior! Shall look into it. On Thu, Mar 15, 2018 at 1:04 AM, Tathagata Das wrote: > Relevant: https://databricks.com/blog/2018/03/13/ > introducing-stream-stream-joins-in-apache-spark-2-3.html > > This is true stream-stream join which will

Re: Multiple Kafka Spark Streaming Dataframe Join query

Relevant: https://databricks.com/blog/2018/03/13/introducing-stream-stream-joins-in-apache-spark-2-3.html This is true stream-stream join which will automatically buffer delayed data and appropriately join stuff with SQL join semantics. Please check it out :) TD On Wed, Mar 14, 2018 at 12:07

Re: Multiple Kafka Spark Streaming Dataframe Join query

I misread it, and thought that you question was if pyspark supports kafka lol. Sorry! On Wed, Mar 14, 2018 at 3:58 PM, Aakash Basu wrote: > Hey Dylan, > > Great! > > Can you revert back to my initial and also the latest mail? > > Thanks, > Aakash. > > On 15-Mar-2018

Re: Multiple Kafka Spark Streaming Dataframe Join query

Hey Dylan, Great! Can you revert back to my initial and also the latest mail? Thanks, Aakash. On 15-Mar-2018 12:27 AM, "Dylan Guedes" wrote: > Hi, > > I've been using the Kafka with pyspark since 2.1. > > On Wed, Mar 14, 2018 at 3:49 PM, Aakash Basu

Re: Multiple Kafka Spark Streaming Dataframe Join query

Hi, I've been using the Kafka with pyspark since 2.1. On Wed, Mar 14, 2018 at 3:49 PM, Aakash Basu wrote: > Hi, > > I'm yet to. > > Just want to know, when does Spark 2.3 with 0.10 Kafka Spark Package > allows Python? I read somewhere, as of now Scala and Java are

Re: Multiple Kafka Spark Streaming Dataframe Join query

Hi, I'm yet to. Just want to know, when does Spark 2.3 with 0.10 Kafka Spark Package allows Python? I read somewhere, as of now Scala and Java are the languages to be used. Please correct me if am wrong. Thanks, Aakash. On 14-Mar-2018 8:24 PM, "Georg Heiler" wrote:

Re: Multiple Kafka Spark Streaming Dataframe Join query

Did you try spark 2.3 with structured streaming? There watermarking and plain sql might be really interesting for you. Aakash Basu schrieb am Mi. 14. März 2018 um 14:57: > Hi, > > > > *Info (Using):Spark Streaming Kafka 0.8 package* > > *Spark 2.2.1* > *Kafka 1.0.1* >

Multiple Kafka Spark Streaming Dataframe Join query

Hi, *Info (Using):Spark Streaming Kafka 0.8 package* *Spark 2.2.1* *Kafka 1.0.1* As of now, I am feeding paragraphs in Kafka console producer and my Spark, which is acting as a receiver is printing the flattened words, which is a complete RDD operation. *My motive is to read two tables

RE: Join Query

<mailto:aakash.spark@gmail.com> Sent: Thursday, November 17, 2016 3:17 PM To: user@spark.apache.org<mailto:user@spark.apache.org> Subject: Join Query Hi, Conceptually I can understand below spark joins, when it comes to implementation I don’t find much information in Google. Please help m

Join Query

Hi, Conceptually I can understand below spark joins, when it comes to implementation I don’t find much information in Google. Please help me with code/pseudo code for below joins using java-spark or scala-spark. *Replication Join:* Given two datasets, where one is small

hiveContext.sql() - Join query fails silently

Hi All, I have used a hiveContext.sql() to join a temporary table created from Dataframe and parquet tables created in Hive. The join query runs fine for few hours and then suddenly fails to do the Join. Once the issue happens the dataframe returned from hiveContext.sql() is empty. If I

Re: Unable to run spark SQL Join query.

id) to > create TABLE C (sojsuccessevents2_spark) > > Now table success_events.sojsuccessevents1 has itemid that i confirmed by > running describe success_events.sojsuccessevents1 from spark-sql shell. > > I changed my join query to use itemid. > > " on a.itemid = b.item_

Re: Unable to run spark SQL Join query.

changed my join query to use itemid. " on a.itemid = b.item_id and a.transactionid = b.transaction_id " + But still i get the same error 16/01/04 03:29:27 INFO yarn.ApplicationMaster: Final app status: FAILED, exitCode: 15, (reason: User class threw

Unable to run spark SQL Join query.

Code: val hiveContext = new org.apache.spark.sql.hive.HiveContext(sc) hiveContext.sql("drop table sojsuccessevents2_spark") hiveContext.sql("CREATE TABLE `sojsuccessevents2_spark`( `guid` string COMMENT 'from deserializer', `sessionkey` bigint COMMENT 'from deserializer',

Re: Unable to run spark SQL Join query.

Column 'itemId' is not present in table 'success_events.sojsuccessevents1' or 'dw_bid' did you mean 'sojsuccessevents2_spark' table in your select query ? Thanks, Jins On 01/03/2016 07:22 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) wrote: Code: val hiveContext = new org.apache.spark.sql.hive.HiveContext(sc)

Re: Facing error: java.lang.ArrayIndexOutOfBoundsException while executing SparkSQL join query

The issue is now resolved. One of the csv files had an incorrect record at the end. On Fri, Feb 27, 2015 at 4:24 PM, anamika gupta anamika.guo...@gmail.com wrote: I have three tables with the following schema: case class* date_d*(WID: Int, CALENDAR_DATE: java.sql.Timestamp, DATE_STRING:

Facing error: java.lang.ArrayIndexOutOfBoundsException while executing SparkSQL join query

I have three tables with the following schema: case class* date_d*(WID: Int, CALENDAR_DATE: java.sql.Timestamp, DATE_STRING: String, DAY_OF_WEEK: String, DAY_OF_MONTH: Int, DAY_OF_YEAR: Int, END_OF_MONTH_FLAG: String, YEARWEEK: Int, CALENDAR_MONTH: String, MONTH_NUM: Int, YEARMONTH: Int, QUARTER:

Facing error: java.lang.ArrayIndexOutOfBoundsException while executing SparkSQL join query

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