Hi,
Just need some advise.
- When we have multiple spark nodes running code, under what conditions a
repartition make sense?
- Can we repartition and cache the result --> df = spark.sql("select from
...").repartition(4).cache
- If we choose a repartition (4), will that repartition ap
Hi gurus,
I have knowledge of Java, Scala and good enough knowledge of Spark, Spark SQL
and Spark Functional programing with Scala.
I have started using Python with Spark PySpark.
Wondering, in order to be proficient in PySpark, how much good knowledge of
Python programing is needed? I know the a
Hello,
When we design a typical spark streaming process, the focus is to get
functional requirements.
However, I have been asked to provide non-functional requirements as well.
Likely things I can consider are Fault tolerance and Reliability (component
failures). Are there a standard list of no
17:16, ashok34...@yahoo.com.INVALID
wrote:
Hello,
When we design a typical spark streaming process, the focus is to get
functional requirements.
However, I have been asked to provide non-functional requirements as well.
Likely things I can consider are Fault tolerance and Reliability (comp
Greetings,
This is a scenario that we need to come up with a comprehensive answers to
fulfil please.
If we have 6 spark VMs each running two executors via spark-submit.
- we have two VMs failures at H/W level, rack failure
- we lose 4 executors of spark out of 12
- Happening half way
idempotent; ie; rerunning them shouldn’t
change the outcome. Streaming jobs have benchmarking, and they will start from
the last microbatch. This means that they might have to repeat the last
microbatch.
From: "ashok34...@yahoo.com.INVALID"
Date: Friday, June 25, 2021 at 10:38 AM
Hello team
Someone asked me regarding well developed Python code with Panda dataframe and
comparing that to PySpark.
Under what situations one choose PySpark instead of Python and Pandas.
Appreciate
AK
Gurus,
I have an RDD in PySpark that I can convert to DF through
df = rdd.toDF()
However, when I do
df.printSchema()
I see the columns as nullable. = true by default
root |-- COL-1: long (nullable = true) |-- COl-2: double (nullable = true) |--
COl-3: string (nullable = true) What would be the e
arise from relying
on this email's technical content is explicitly disclaimed.The author will in
no case be liable for any monetary damages arising from suchloss, damage or
destruction.
On Thu, 14 Oct 2021 at 12:50, ashok34...@yahoo.com.INVALID
wrote:
Gurus,
I have an RDD in PySpa
Hi gurus,
I am trying to understand the role of Spark in an event driven architecture. I
know Spark deals with massive parallel processing. However, does Spark follow
event driven architecture like Kafka as well? Say handling producers, filtering
and pushing the events to consumers like database
Hello,
I know some operators in Spark are expensive because of shuffle.
This document describes shuffle
https://www.educba.com/spark-shuffle/
and saysMore shufflings in numbers are not always bad. Memory constraints and
other impossibilities can be overcome by shuffling.
In RDD, the below are a
Thanks Mich. Very insightful.
AKOn Monday, 14 February 2022, 11:18:19 GMT, Mich Talebzadeh
wrote:
Good question. However, we ought to look at what options we have so to speak.
Let us consider Spark on Dataproc, Spark on Kubernetes and Spark on Dataflow
Spark on DataProc is proven a
Thanks for all these useful info
Hi all
What is the current trend. Is it Spark on Scala with intellij or Spark on
python with pycharm.
I am curious because I have moderate experience with Spark on both Scala and
python and want to focus on Scala OR python going forward with the intention of
jo
Hi,
Worth checking this link
https://spark.apache.org/docs/latest/job-scheduling.html#dynamic-resource-allocation
On Saturday, 28 January 2023 at 06:18:28 GMT, Lingzhe Sun
wrote:
#yiv9684413148 body {line-height:1.5;}#yiv9684413148 ol, #yiv9684413148 ul
{margin-top:0px;margin-bottom:0
Hello gurus,
Does Spark arranges online webinars for special topics like Spark on K8s, data
science and Spark Structured Streaming?
I would be most grateful if experts can share their experience with learners
with intermediate knowledge like myself. Hopefully we will find the practical
experienc
citly disclaimed.The author will in
no case be liable for any monetary damages arising from suchloss, damage or
destruction.
On Tue, 7 Mar 2023 at 19:17, ashok34...@yahoo.com.INVALID
wrote:
Hello gurus,
Does Spark arranges online webinars for special topics like Spark on K8s, data
scienc
Hello team
Is it possible to use Spark docker built on GCP on AWS without rebuilding from
new on AWS?
Will that work please.
AK
Hello,
In Spark windowing does call with Window().partitionBy() can cause
shuffle to take place?
If so what is the performance impact if any if the data result set is large.
Thanks
, 2023, 18:48 ashok34...@yahoo.com.INVALID
wrote:
Hello,
In Spark windowing does call with Window().partitionBy() can cause
shuffle to take place?
If so what is the performance impact if any if the data result set is large.
Thanks
Hello Mich,
Thanking you for providing these useful feedbacks and responses.
We appreciate your contribution to this community forum. I for myself find your
posts insightful.
+1 for me
Best,
AK
On Wednesday, 6 September 2023 at 18:34:27 BST, Mich Talebzadeh
wrote:
Hi Varun,
In answer t
021836|2023-03-01 04:44:14|
| 84.183.253.20| 7.707176860385722|2021-08-26 23:24:31|
|218.163.165.232| 9.458673015973213|2021-02-22 12:13:15|
| 62.57.20.153|1.5764916247359229|2021-11-06 12:41:59|
| 98.171.202.249| 3.546118349483626|2022-07-05 10:55:26|
|180.140.248.193|0.9512956363005021|2021-
Hello gurus,
I have a Hive table created as below (there are more columns)
CREATE TABLE hive.sample_data ( incoming_ip STRING, time_in TIMESTAMP, volume
INT );
Data is stored in that table
In PySpark, I want to select the top 5 incoming IP addresses with the highest
total volume of data tran
Hello team
1) In Spark Structured Streaming does commit mean streaming data has been
delivered to the sink like Snowflake?
2) if sinks like Snowflake cannot absorb or digest streaming data in a timely
manner, will there be an impact on spark streaming itself?
Thanks
AK
il's technical content is explicitly disclaimed.The author will in
no case be liable for any monetary damages arising from suchloss, damage or
destruction.
On Sun, 8 Oct 2023 at 19:50, ashok34...@yahoo.com.INVALID
wrote:
Hello team
1) In Spark Structured Streaming does commit mean streaming
Hey Mich,
Thanks for this introduction on your forthcoming proposal "Spark Structured
Streaming and Flask REST API for Real-Time Data Ingestion and Analytics". I
recently came across an article by Databricks with title Scalable Spark
Structured Streaming for REST API Destinations. Their use cas
Good idea. Will be useful
+1
On Monday, 18 March 2024 at 11:00:40 GMT, Mich Talebzadeh
wrote:
Some of you may be aware that Databricks community Home | Databricks
have just launched a knowledge sharing hub. I thought it would be a
good idea for the Apache Spark user group to have the sa
Great work. Very handy for identifying problems
thanks
On Tuesday 21 May 2024 at 18:12:15 BST, Mich Talebzadeh
wrote:
A colleague kindly pointed out about giving an example of output which wll be
added to README
Doing analysis for column Postcode
Json formatted output
{ "Postcode":
Hello,
what options are you considering yourself?
On Wednesday 22 May 2024 at 07:37:30 BST, Anil Dasari
wrote:
Hello,
We are on Spark 3.x and using Spark dstream + kafka and planning to use
structured streaming + Kafka. Is there an equivalent of Dstream HasOffsetRanges
in structure s
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