I guess what I didn't say is YES. What Akshay and Ashesh are building is
going to absolutely be fundamental to any workflows being defined in these
interviews.

-- Rob

On Mon, Jun 5, 2017 at 12:17 PM, Robert Eckhardt <reckha...@pivotal.io>
wrote:

> On Mon, Jun 5, 2017 at 11:45 AM, Dave Page <dp...@pgadmin.org> wrote:
>
>>
>>
>> The former is what I was bleating about when I said we needed to expose
>> partitions to the user. The latter isn't relevant - declarative
>> partitioning in Postgres doesn't use inheritance.
>>
>
> The former is certainly the most interesting.  We do need to expose the
> partitions but only exposing them individually might be a bit overwhelming.
> What we found was that the number of partitions users have, (given existing
> means of leveraging partitions) vary from ~100 up to 10k. Basically what we
> were thinking about was how we can create a workflow/interface that allows
> users to modify one or more children at once. Furthermore, it would be nice
> if we could figure out an easy (easy-ish) way for users to identify the one
> or more partitions that need to be modified.
>
> For roll up this pattern seems obvious, identify the n partitions you
> need/want to combine and then run a job to combine them.
>
> For other patterns such as creating indexes and such it requires a bit
> more thought. Generally users described wanting to treat all of the
> children like a single table (just like Oracle), however, other users
> described potentially modifying chunks of partitions differently depending
> on some criterion. This means that users will need to identify the subset
> they want to optimize and then ideally be able to act on them all at once.
>
> -- Rob
>
>
>
>
>
>
>>
>> So... it sounds like we're on the right lines :-)
>>
>>
>>>
>>> For the former, this can be addressed by enabling users to modify one or
>>> more child partitions at the same time. For the latter, that is a workflow
>>> that might be addressed outside of the create table with partition workflow
>>> we're working on currently.
>>>
>>>
>>>
>>>
>>>
>>> On Mon, Jun 5, 2017 at 5:21 AM Dave Page <dp...@pgadmin.org> wrote:
>>>
>>>> On Fri, Jun 2, 2017 at 9:01 AM, Akshay Joshi <
>>>> akshay.jo...@enterprisedb.com> wrote:
>>>>
>>>>> Hi All
>>>>>
>>>>> Following are the further implementation updates to support
>>>>> Declarative Partitioning:
>>>>>
>>>>>    - Show all the existing partitions of the parent table in
>>>>>    Partitions tab (Refer Existing_Partitions.png)
>>>>>    - Ability to create N partitions and detach existing partitions.
>>>>>    Refer (Create_Detach_Partition.png), in this example I have detach
>>>>>    two existing partition and create two new partitions.
>>>>>    - Added "Detach Partition" menu to partitions node only and user
>>>>>    will be able to detach from there as well. Refer (Detach.png)
>>>>>
>>>>> That's looking good to me :-)
>>>>
>>>>
>>>>
>>>>>
>>>>>
>>>>> On Wed, May 24, 2017 at 8:00 PM, Robert Eckhardt <reckha...@pivotal.io
>>>>> > wrote:
>>>>>
>>>>>>
>>>>>>
>>>>>> On Wed, May 24, 2017 at 3:35 AM, Akshay Joshi <
>>>>>> akshay.jo...@enterprisedb.com> wrote:
>>>>>>
>>>>>>>
>>>>>>>    Taking average of two columns is just an example/representation
>>>>>>> of expression, there is no use case of that. As I am also in learning
>>>>>>> phase. Below are some use case that I can think of:
>>>>>>>
>>>>>>>    -
>>>>>>>
>>>>>>>    Partitions based on first letter of their username
>>>>>>>
>>>>>>>    CREATE TABLE users (
>>>>>>>        id             serial not null,
>>>>>>>        username       text not null,
>>>>>>>        password       text,
>>>>>>>        created_on     timestamptz not null,
>>>>>>>        last_logged_on timestamptz not null
>>>>>>>    )PARTITION BY RANGE ( lower( left( username, 1 ) ) );
>>>>>>>    CREATE TABLE users_0
>>>>>>>        partition of users (id, primary key (id), unique (username))
>>>>>>>        for values from ('a') to ('g');
>>>>>>>    CREATE TABLE users_1
>>>>>>>        partition of users (id, primary key (id), unique (username))
>>>>>>>        for values from ('g') to (unbounded);
>>>>>>>
>>>>>>>    -  Partition based on country's sale for each month of an year.
>>>>>>>
>>>>>>> CREATE TABLE public.sales
>>>>>>>
>>>>>>> (
>>>>>>>
>>>>>>>     country text NOT NULL,
>>>>>>>
>>>>>>>     sales bigint NOT NULL,
>>>>>>>
>>>>>>>     saledate date
>>>>>>>
>>>>>>> ) PARTITION BY RANGE (country, (extract (YEAR FROM saledate)),
>>>>>>> (extract(MONTH FROM saledate)))
>>>>>>>
>>>>>>>
>>>>>>> CREATE TABLE public.sale_usa_2017_jan PARTITION OF sales
>>>>>>>
>>>>>>>     FOR VALUES FROM ('usa', 2017, 01) TO ('usa', 2017, 02);
>>>>>>>
>>>>>>> CREATE TABLE public.sale_india_2017_jan PARTITION OF sales
>>>>>>>
>>>>>>>     FOR VALUES FROM ('india', 2017, 01) TO ('india', 2017, 02);
>>>>>>>
>>>>>>> CREATE TABLE public.sale_uk_2017_jan PARTITION OF sales
>>>>>>>
>>>>>>>     FOR VALUES FROM ('uk', 2017, 01) TO ('uk', 2017, 02);
>>>>>>>
>>>>>>>
>>>>>>> INSERT INTO sales VALUES ('india', 10000, '2017-1-15');
>>>>>>>
>>>>>>> INSERT INTO sales VALUES ('uk', 20000, '2017-1-08');
>>>>>>>
>>>>>>> INSERT INTO sales VALUES ('usa', 30000, '2017-1-10');
>>>>>>>
>>>>>>>    Apart from above there may be N number of use cases that depends
>>>>>>> on specific requirement of user.
>>>>>>>
>>>>>>
>>>>>> Thank you for the example, you are absolutely correct and we were
>>>>>> confused.
>>>>>>
>>>>>> Given our new found understanding do you mind if we iterate a bit on
>>>>>> the UI/UX?  What we were suggesting with the daily/monthly/yearly drop 
>>>>>> down
>>>>>> was a specific example of an expression. Given that fact that doesn't 
>>>>>> seem
>>>>>> to be required in an MVP, however, I do think a more interactive 
>>>>>> experience
>>>>>> between the definition of the child partitions and the creation of the
>>>>>> partitions would be optimal.
>>>>>>
>>>>>> I'm not sure where you are with respect to implementing the UI but
>>>>>> I'd love to float some ideas and mock ups past you.
>>>>>>
>>>>>> -- Rob
>>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> *Akshay Joshi*
>>>>> *Principal Software Engineer *
>>>>>
>>>>>
>>>>>
>>>>> *Phone: +91 20-3058-9517 <+91%2020%203058%209517>Mobile: +91
>>>>> 976-788-8246 <+91%2097678%2088246>*
>>>>>
>>>>>
>>>>> --
>>>>> Sent via pgadmin-hackers mailing list (pgadmin-hackers@postgresql.org)
>>>>> To make changes to your subscription:
>>>>> http://www.postgresql.org/mailpref/pgadmin-hackers
>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> Dave Page
>>>>
>>>> Blog: http://pgsnake.blogspot.com
>>>> Twitter: @pgsnake
>>>>
>>>> EnterpriseDB UK: http://www.enterprisedb.com
>>>> The Enterprise PostgreSQL Company
>>>>
>>>
>>
>>
>> --
>> Dave Page
>> Blog: http://pgsnake.blogspot.com
>> Twitter: @pgsnake
>>
>> EnterpriseDB UK: http://www.enterprisedb.com
>> The Enterprise PostgreSQL Company
>>
>
>

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