Hi Dongjoon,

It's too much work to revisit all the configs that added in 3.0, but I'll
revisit the recent commits that update config names and see if they follow
the new policy.


Hi Reynold,

There are a few interval configs:
spark.sql.streaming.fileSink.log.compactInterval
spark.sql.streaming.continuous.executorPollIntervalMs

I think it's better to put the interval unit in the config name, like
`executorPollIntervalMs`. Also the config should be created with
`.timeConf`, so that users can set values like "1 second", "2 minutes", etc.

There is no config that uses date/timestamp as value AFAIK.


Thanks,
Wenchen

On Thu, Feb 13, 2020 at 11:29 AM Jungtaek Lim <kabhwan.opensou...@gmail.com>
wrote:

> +1 Thanks for the proposal. Looks very reasonable to me.
>
> On Thu, Feb 13, 2020 at 10:53 AM Hyukjin Kwon <gurwls...@gmail.com> wrote:
>
>> +1.
>>
>> 2020년 2월 13일 (목) 오전 9:30, Gengliang Wang <gengliang.w...@databricks.com>님이
>> 작성:
>>
>>> +1, this is really helpful. We should make the SQL configurations
>>> consistent and more readable.
>>>
>>> On Wed, Feb 12, 2020 at 3:33 PM Rubén Berenguel <rbereng...@gmail.com>
>>> wrote:
>>>
>>>> I love it, it will make configs easier to read and write. Thanks
>>>> Wenchen.
>>>>
>>>> R
>>>>
>>>> On 13 Feb 2020, at 00:15, Dongjoon Hyun <dongjoon.h...@gmail.com>
>>>> wrote:
>>>>
>>>> 
>>>> Thank you, Wenchen.
>>>>
>>>> The new policy looks clear to me. +1 for the explicit policy.
>>>>
>>>> So, are we going to revise the existing conf names before 3.0.0 release?
>>>>
>>>> Or, is it applied to new up-coming configurations from now?
>>>>
>>>> Bests,
>>>> Dongjoon.
>>>>
>>>> On Wed, Feb 12, 2020 at 7:43 AM Wenchen Fan <cloud0...@gmail.com>
>>>> wrote:
>>>>
>>>>> Hi all,
>>>>>
>>>>> I'd like to discuss the naming policy of Spark configs, as for now it
>>>>> depends on personal preference which leads to inconsistent namings.
>>>>>
>>>>> In general, the config name should be a noun that describes its
>>>>> meaning clearly.
>>>>> Good examples:
>>>>> spark.sql.session.timeZone
>>>>> spark.sql.streaming.continuous.executorQueueSize
>>>>> spark.sql.statistics.histogram.numBins
>>>>> Bad examples:
>>>>> spark.sql.defaultSizeInBytes (default size for what?)
>>>>>
>>>>> Also note that, config name has many parts, joined by dots. Each part
>>>>> is a namespace. Don't create namespace unnecessarily.
>>>>> Good example:
>>>>> spark.sql.execution.rangeExchange.sampleSizePerPartition
>>>>> spark.sql.execution.arrow.maxRecordsPerBatch
>>>>> Bad examples:
>>>>> spark.sql.windowExec.buffer.in.memory.threshold ("in" is not a useful
>>>>> namespace, better to be .buffer.inMemoryThreshold)
>>>>>
>>>>> For a big feature, usually we need to create an umbrella config to
>>>>> turn it on/off, and other configs for fine-grained controls. These configs
>>>>> should share the same namespace, and the umbrella config should be named
>>>>> like featureName.enabled. For example:
>>>>> spark.sql.cbo.enabled
>>>>> spark.sql.cbo.starSchemaDetection
>>>>> spark.sql.cbo.starJoinFTRatio
>>>>> spark.sql.cbo.joinReorder.enabled
>>>>> spark.sql.cbo.joinReorder.dp.threshold (BTW "dp" is not a good
>>>>> namespace)
>>>>> spark.sql.cbo.joinReorder.card.weight (BTW "card" is not a good
>>>>> namespace)
>>>>>
>>>>> For boolean configs, in general it should end with a verb, e.g.
>>>>> spark.sql.join.preferSortMergeJoin. If the config is for a feature
>>>>> and you can't find a good verb for the feature, featureName.enabled
>>>>> is also good.
>>>>>
>>>>> I'll update https://spark.apache.org/contributing.html after we reach
>>>>> a consensus here. Any comments are welcome!
>>>>>
>>>>> Thanks,
>>>>> Wenchen
>>>>>
>>>>>
>>>>>

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