I am currently contemplating and sharing my thoughts openly. Considering our reliance on previously collected statistics (as mentioned earlier), it raises the question of why we couldn't integrate certain machine learning elements into Spark Structured Streaming? While this might slightly deviate from our current topic, I am not an expert in machine learning. However, there are individuals who possess the expertise to assist us in exploring this avenue.
HTH Mich Talebzadeh, Solutions Architect/Engineering Lead London United Kingdom view my Linkedin profile <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> https://en.everybodywiki.com/Mich_Talebzadeh *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may 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 such loss, damage or destruction. On Tue, 8 Aug 2023 at 18:01, Pavan Kotikalapudi <pkotikalap...@twilio.com> wrote: > Listeners are the best resources to the allocation manager afaik... It > already has SparkListener > <https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala#L640> > that > it utilizes. We can use it to extract more information (like processing > times). > The one with more information regarding streaming query resides in sql > module > <https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryListener.scala> > though. > > Thanks > > Pavan > > On Tue, Aug 8, 2023 at 5:43 AM Mich Talebzadeh <mich.talebza...@gmail.com> > wrote: > >> Hi Pavan or anyone else >> >> Is there any way one access the matrix displayed on SparkGUI? For example >> the readings for processing time? Can these be acessed? >> >> Thanks >> >> For example, >> Mich Talebzadeh, >> Solutions Architect/Engineering Lead >> London >> United Kingdom >> >> >> view my Linkedin profile >> <https://urldefense.com/v3/__https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/__;!!NCc8flgU!d-qX4RylsnHucGkE4OdsO8agaKMFV59tVQnWZL1FbbZLVLWVUWgWmiiKC1Mvyy-796X-uP5XZfjLEbrVfe771d6VrCySTg$> >> >> >> https://en.everybodywiki.com/Mich_Talebzadeh >> <https://urldefense.com/v3/__https://en.everybodywiki.com/Mich_Talebzadeh__;!!NCc8flgU!d-qX4RylsnHucGkE4OdsO8agaKMFV59tVQnWZL1FbbZLVLWVUWgWmiiKC1Mvyy-796X-uP5XZfjLEbrVfe771d4r4xOqSg$> >> >> >> >> *Disclaimer:* Use it at your own risk. Any and all responsibility for >> any loss, damage or destruction of data or any other property which may >> 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 such loss, damage or destruction. >> >> >> >> >> On Tue, 8 Aug 2023 at 06:44, Pavan Kotikalapudi <pkotikalap...@twilio.com> >> wrote: >> >>> Thanks for the review Mich, >>> >>> Yes, the configuration parameters we end up setting would be based on >>> the trigger interval. >>> >>> > If you are going to have additional indicators why not look at >>> scheduling delay as well >>> Yes. The implementation is based on scheduling delays, not for pending >>> tasks of the current stage but rather pending tasks of all the stages >>> in a micro-batch >>> <https://urldefense.com/v3/__https://github.com/apache/spark/pull/42352/files*diff-fdddb0421641035be18233c212f0e3ccd2d6a49d345bd0cd4eac08fc4d911e21R1025__;Iw!!NCc8flgU!d-qX4RylsnHucGkE4OdsO8agaKMFV59tVQnWZL1FbbZLVLWVUWgWmiiKC1Mvyy-796X-uP5XZfjLEbrVfe771d6feoFH2Q$> >>> (hence >>> trigger interval). >>> >>> > we ought to utilise the historical statistics collected under the >>> checkpointing directory to get more accurate statistics >>> You are right! This is just a simple implementation based on one factor, >>> we should also look into other indicators as well If that would help build >>> a better scaling algorithm. >>> >>> Thank you, >>> >>> Pavan >>> >>> On Mon, Aug 7, 2023 at 9:55 PM Mich Talebzadeh < >>> mich.talebza...@gmail.com> wrote: >>> >>>> Hi, >>>> >>>> I glanced over the design doc. >>>> >>>> You are providing certain configuration parameters plus some settings >>>> based on static values. For example: >>>> >>>> spark.dynamicAllocation.schedulerBacklogTimeout": 54s >>>> >>>> I cannot see any use of <processing time> which ought to be at least >>>> half of the batch interval to have the correct margins (confidence level). >>>> If >>>> you are going to have additional indicators why not look at scheduling >>>> delay as well. Moreover most of the needed statistics are also available to >>>> set accurate values. My inclination is that this is a great effort but >>>> we ought to utilise the historical statistics collected under >>>> checkpointing directory to get more accurate statistics. I will review >>>> the design document in duew course >>>> >>>> HTH >>>> >>>> Mich Talebzadeh, >>>> Solutions Architect/Engineering Lead >>>> London >>>> United Kingdom >>>> >>>> >>>> view my Linkedin profile >>>> <https://urldefense.com/v3/__https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/__;!!NCc8flgU!blQ5zGotPbReMPXKaZw50BES4V_1AKqHv6bIxHVlc0QfY9iisFjT-u0be3CR6C6-41dtKLX5Ija0-EmAYfkcxLFr9YSZnw$> >>>> >>>> >>>> https://en.everybodywiki.com/Mich_Talebzadeh >>>> <https://urldefense.com/v3/__https://en.everybodywiki.com/Mich_Talebzadeh__;!!NCc8flgU!blQ5zGotPbReMPXKaZw50BES4V_1AKqHv6bIxHVlc0QfY9iisFjT-u0be3CR6C6-41dtKLX5Ija0-EmAYfkcxLEPx44C1w$> >>>> >>>> >>>> >>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for >>>> any loss, damage or destruction of data or any other property which may >>>> arise from relying on this email's technical content is explicitly >>>> disclaimed. The author will in no case be liable for any monetary damages >>>> arising from such loss, damage or destruction. >>>> >>>> >>>> >>>> >>>> On Tue, 8 Aug 2023 at 01:30, Pavan Kotikalapudi >>>> <pkotikalap...@twilio.com.invalid> wrote: >>>> >>>>> Hi Spark Dev, >>>>> >>>>> I have extended traditional DRA to work for structured streaming >>>>> use-case. >>>>> >>>>> Here is an initial Implementation draft PR >>>>> https://github.com/apache/spark/pull/42352 >>>>> <https://urldefense.com/v3/__https://github.com/apache/spark/pull/42352__;!!NCc8flgU!blQ5zGotPbReMPXKaZw50BES4V_1AKqHv6bIxHVlc0QfY9iisFjT-u0be3CR6C6-41dtKLX5Ija0-EmAYfkcxLHLe7WCUw$> >>>>> and >>>>> design doc: >>>>> https://docs.google.com/document/d/1_YmfCsQQb9XhRdKh0ijbc-j8JKGtGBxYsk_30NVSTWo/edit?usp=sharing >>>>> <https://urldefense.com/v3/__https://docs.google.com/document/d/1_YmfCsQQb9XhRdKh0ijbc-j8JKGtGBxYsk_30NVSTWo/edit?usp=sharing__;!!NCc8flgU!blQ5zGotPbReMPXKaZw50BES4V_1AKqHv6bIxHVlc0QfY9iisFjT-u0be3CR6C6-41dtKLX5Ija0-EmAYfkcxLFAjJfilg$> >>>>> >>>>> Please review and let me know what you think. >>>>> >>>>> Thank you, >>>>> >>>>> Pavan >>>>> >>>>
