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>*
>>>>
>>>>
>>>> --
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>>>>
>>>>
>>>
>>>
>>> --
>>> 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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