@David

Querying the whole group would mean having 200,000 results for few of my
users. Pulling all that and then searching, wouldn't that be inefficient? or
are you talking about sharded ListProperty here?



On 25 April 2011 05:41, David Parks <davidpark...@yahoo.com> wrote:

> That seems like a reasonable approach. But I think you should do both
> tests. 1) let google do the work and store a lot of records, 2) query the
> whole group and parse it into an array and search the array. It wouldn’t be
> too hard to created a simple test case that populates the data for whatever
> # of users you need to plan for and profile the lookup and storage speeds of
> both.
>
>
>
> I’d love to know your results if you do test both approaches.
>
>
>
>
>
> *From:* google-appengine@googlegroups.com [mailto:
> google-appengine@googlegroups.com] *On Behalf Of *Nischal Shetty
> *Sent:* Friday, April 22, 2011 3:10 PM
>
> *To:* google-appengine@googlegroups.com
> *Subject:* Re: [google-appengine] Appropriate way to save hundreds of
> thousands of ids per user
>
>
>
> @David
>
>
>
> Thanks for the input. Every reply gives me some more insight into how I
> achieve this. My use case is as below :
>
>
>
> 1. At times I would need all the IDs at the same time in memory
>
> 2. Most of the times I would need to check if a set of IDs as input by the
> user (say 100 IDs) are present in the datastore
>
>
>
> I've been thinking of doing the following :
>
>
>
> 1. Persisting all the IDs by putting them into an array (I will probably
> have shards where each array would hold 50k IDs)
>
> 2. Implementing a bloom filter to search for the set of IDs if they exist
> in the datastore.
>
>
>
>
>
> On 22 April 2011 09:34, David Parks <davidpark...@yahoo.com> wrote:
>
> I don’t know your intended use of these ID’s, my thoughts here are limited
> to assumed use, feel free to ignore thoughts that are off base for your use
> case.
>
>
>
> If, when you query for the IDs you are looking for **all** the IDs, then
> just serialize them into one field and retrieve them as one record and
> de-serialize them in a way that doesn’t require they all fit into memory at
> the same time (a tokenized CSV list is most straight forward example, but
> you can do more compact serializations).
>
>
>
> If you need to query for some subset of these IDs, then storing them in the
> datastore is indeed the way to go I suspect. You can batch many
> inserts/updates. You’ll have a large table, but that isn’t likely to be a
> problem with this data store, but do test it. If lookup times degrade with
> size you could consider partitioning your users into different groups
> (simple example: 1 group of users IDs that end in even #’s, another that
> ends in odd #’s), this can reduce the size of indexes and improve
> performance on some systems (I don’t have personal experience to tell you
> whether this is necessary in this system, but it’s a thought to consider).
>
>
>
> Again, I just offer this as food for thought. If you describe your intended
> access patterns it will probably help guide the discussion. Good luck.
>
>
>
>
>
> *From:* google-appengine@googlegroups.com [mailto:
> google-appengine@googlegroups.com] *On Behalf Of *nischalshetty
> *Sent:* Tuesday, April 19, 2011 1:15 PM
> *To:* google-appengine@googlegroups.com
> *Subject:* [google-appengine] Appropriate way to save hundreds of
> thousands of ids per user
>
>
>
> Every user in my app would have thousands of ids corresponding to them. I
> would need to look up these ids often.
>
> Two things I could think of:
>
> 1. Put them into Lists - (drawback is that lists have a maximum capacity of
> 5000(hope I'm right here) and I have users who would need to save more than
> 150,000 ids)
> 2. Insert each id as a unique record in the datastore (too much of data? as
> it would be user * ids of all users). Can I batch put 5000 records at a
> time? Can I batch get at least 100 - 500 records at a time?
>
> Is there any other way to do this? I hope my question's clear. Your
> suggestions are greatly appreciated.
>
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