Hi Raymond,
Thank you for the response.

Yes, the virtual key definitely going to help reducing the storage footprint. 
When do you think it is going to be available and will it be compatible with 
all downstream processing engines (Presto, Redshift Spectrum etc.)? We have 
started our development activities and expecting to get into PROD by 
March-April timeframe.

Regarding the partition key,  we get data every day from 10-20 million users 
and currently the data we are planning to partition is by Date (YYYY-MM-DD) and 
thereby we will have consistent partitions for downstream systems(every 
partition has same amount of data [20 million user data in each partition, 
rather than skewed partitions]). And most of our queries are date range queries 
for a given user-Id

If I partition by user-Id, then I will have millions of partitions, and I have 
read that having large number of partition has major read impact (meta data 
management etc.), what do you think? Is my understanding correct?

Yes, for current day most of the data will be for that day – so do you think 
it’s going to be a problem while writing (wont the BLOOM index help)? And 
that’s what I am trying to understand to land in a better performant solution.

Meanwhile I would like to see my record Key construct as well, to see how it 
can help on write performance and downstream requirement to support GDPR.  To 
avoid any reprocessing/migration down the line.

Regards,
Felix K Jose

From: Raymond Xu <xu.shiyan.raym...@gmail.com>
Date: Tuesday, November 17, 2020 at 6:18 PM
To: dev@hudi.apache.org <dev@hudi.apache.org>
Cc: vin...@apache.org <vin...@apache.org>, n.siv...@gmail.com 
<n.siv...@gmail.com>, v.bal...@ymail.com.invalid <v.bal...@ymail.com.invalid>
Subject: Re: Hudi Record Key Best Practices
Hi Felix, looks like the use case will benefit from virtual key feature in
this RFC

https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcwiki.apache.org%2Fconfluence%2Fdisplay%2FHUDI%2FRFC%2B-%2B21%2B%253A%2BAllow%2BHoodieRecordKey%2Bto%2Bbe%2BVirtual&amp;data=04%7C01%7C%7Cf0057e2f47604496465c08d88b4f184a%7C1a407a2d76754d178692b3ac285306e4%7C0%7C0%7C637412519108116619%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=kAUHK3c5NlgKPbN6eB4n65UWPykqRmqJZthYrc%2FWO0c%3D&amp;reserved=0

Once this is implemented, you don't have to create a separate key.

A rough thought: you mentioned 95% writes go to the same partition. Rather
than the record key, maybe consider improving on the partition field? to
have more even writes across partitions for eg?

On Sat, Nov 14, 2020 at 8:46 PM Kizhakkel Jose, Felix
<felix.j...@philips.com.invalid> wrote:

> Hello All,
>
> I have asked generic questions regarding record key in slack channel, but
> I just want to consolidate everything regarding Record Key and the
> suggested best practices of Record Key construction to get better write
> performance.
>
> Table Type: COW
> Partition Path: Date
>
> My record uniqueness is derived from a combination of 4 fields:
>
>   1.  F1: Datetime (record’s origination datetime)
>   2.  F2: String       (11 char  long serial number)
>   3.  F3: UUID        (User Identifier)
>   4.  F4: String.       (12 CHAR statistic name)
>
> Note: My record is a nested document and some of the above fields are
> nested fields
>
> My Write Use Cases:
> 1. Writes to partitioned HUDI table every 15 minutes
>
>   1.  where 95% inserts and 5% updates,
>   2.  Also 95% write goes to same partition (current date) 5% write can
> span across multiple partitions
> 2. GDPR request to delete records from the table using User Identifier
> field (F3)
>
>
> Record Key Construction:
> Approach 1:
> Generate a UUID  from the concatenated String of all these 4 fields [eg:
> str(F1) + “_” + str(F2) + “_” + str(F3) + “_” + str(F4) ] and use that
> newly generated field as Record Key
>
> Approach 2:
> Generate a UUID  from the concatenated String of 3 fields except datetime
> field(F1) [eg: str(F2) + “_” + str(F3) + “_” + str(F4)] and prepend
> datetime field to the generated UUID and use that newly generated field as
> Record Key •F1_<uuid>
>
> Approach 3:
> Record Key as a composite key of all 4 fields (F1, F2, F3, F4)
>
> Which is the approach you will suggest? Could you please help me?
>
> Regards,
> Felix K Jose
>
>
>
>
>
>
>
>
>
>
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