1. How do I measure the size of the index (cube) in version 5?
   You can check storage of specific Indexes from the Index page.
https://kylin.apache.org/5.0/docs/modeling/model_design/aggregation_group#view-aggregate-index
or
https://kylin.apache.org/5.0/assets/images/index_1-6ad3f55183d4ed61962359d9408ba192.png


2. How to create the cardinality for each column?
   You should check this link :
https://kylin.apache.org/5.0/docs/datasource/data_sampling/ .

3. In your default project sample named SSB project, you have only 4 simple
aggregate group index and no table index as in attached file
so what is the best strategy to select index for our OLAP?
    1. There does exist a 'Base Table Index'  by default actually, its id
is 20000000001.
    2. I think it is a good question and Kylin 5 lacks such a guide for
better modeling. You are free to ask your question to
mailing list and I will try to reply.

------------------------
With warm regard
Xiaoxiang Yu



On Wed, Nov 1, 2023 at 2:12 PM Xiaoxiang Yu <x...@apache.org> wrote:

> OK, I didn't read all the mail history so I misunderstand the situation.
> Looks like you need to analyse
> the cause why the query didn't hit the cube correctly.
>
> Please generate query diagnosis package and send it to me privately. I
> will analyse the query log.
> You can refer to the following steps in screenshots.
>
> [image: image.png]
>
> If the screenshots are not displaying correctly, please read this guide :
>
> https://kylin.apache.org/5.0/docs/operations/system-operation/diagnosis/#generate-query-diagnosis-package-in-web-ui
>
> By the way, you need to analyse the cause by reading kylin.query.log, not
> the kylin.log,
> refer to https://kylin.apache.org/5.0/docs/operations/logs/system_log
>
> ------------------------
> With warm regard
> Xiaoxiang Yu
>
>
>
> On Wed, Nov 1, 2023 at 12:18 PM Nam Đỗ Duy <na...@vnpay.vn> wrote:
>
>> Thank you Xiaoxiang for your advice. As my title email shown, I guessed
>> that the OLAP functionalities has not been correctly set up in my computer.
>>
>> The evidence about it is that: when I disable the Pushdown option box to
>> use solely the precomputation cube only, it showed following error: Please
>> kindly advise how to properly build the OLAP
>>
>> LIMIT 500": No realization found for OLAPContext, MODEL_UNMATCHED_JOIN, 
>> rel#2240:KapTableScan.OLAP.[](table=[VNEVENT_HIVE_DWH_400MILLION_ROWS, 
>> FACTUSEREVENT],ctx=0@null,fields=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 
>> 13, 14, 15, 16, 17, 18, 19, 20])
>>
>>
>>
>> On Wed, Nov 1, 2023 at 10:40 AM Xiaoxiang Yu <x...@apache.org> wrote:
>>
>>> Hi,
>>>
>>>     Yesterday, I tried to see if query pushdown functions work well in
>>> the Kylin5 docker, and all of my queries return proper responses .
>>>     After checking your logs from Shaofeng, I found these error messages
>>> repeated many times:
>>>     1. 'java.io.IOException: All datanodes DatanodeInfoWithStorage[
>>> 127.0.0.1:9866,DS-5093899b-06c7-4386-95d5-6fc271d92b52,DISK] are bad.
>>> Aborting...'
>>>     2. 'curator.ConnectionState : Connection timed out for connection
>>> string (localhost:2181) and timeout (15000) / elapsed (41794)
>>> org.apache.curator.CuratorConnectionLossException: KeeperErrorCode =
>>> ConnectionLoss'
>>>
>>>     I guess the root cause is that the container didn't not have enough
>>> resources. I found you query on a table called
>>> 'XXX_hive_dwh_400million_rows', looks like you gave a complex query on a
>>> table which contains 400 million rows?
>>>
>>>     Since I am the uploader of kylin5 's docker image, I want to give
>>> some explainment. Kylin5 docker is not a place for performance benchmarks,
>>> it is only for demonstration. It is only allocated with very little
>>> resources(8G memory) if you are using the default command from docker hub
>>> page. Before I uploaded my image, I only tested my image using the ssb
>>> dataset, which the biggest table only contains about 60k rows. If you are
>>> using a larger dataset and complexer queries, you have to scale the
>>> resource properly. Try querying tables which contain not more than 100k
>>> rows by default.
>>>
>>>     Here are some tips which may help you to check if the daemon service
>>> is in health status and resources(particularly disk space) is configured
>>> properly.
>>>
>>>     1. Checking HDFS 's web ui(
>>> http://localhost:9870/dfshealth.html#tab-datanode ) to confirm whether
>>> HDFS service is in 'In service' status.
>>>     2. Checking Datanode 's log in
>>> `/opt/hadoop-3.2.1/logs/hadoop-root-datanode-Kylin5-Machine.log`, check if
>>> there is any error message. Like: cat
>>> /opt/hadoop-3.2.1/logs/hadoop-root-datanode-Kylin5-Machine.log | grep ERROR
>>> | wc -l
>>>     3. Checking if your docker engine is configured with enough disk
>>> space, if you are using Docker Desktop like me,please go to "Settings" -
>>> "Resources" - "Advanced", make sure you have allocated 40GB+ disk space to
>>> the docker container.
>>>     4. Checking the available disk space of your container by `df -h`,
>>> make sure the 'Use%' of 'overlay' is less than 60% .
>>>     5. Checking the load average/ cpu usage/ jvm gc. Make sure these
>>> metrics are not really high when you send a query.
>>> ------------------------
>>> With warm regard
>>> Xiaoxiang Yu
>>>
>>>
>>>
>>> On Tue, Oct 31, 2023 at 5:13 PM Nam Đỗ Duy <na...@vnpay.vn.invalid>
>>> wrote:
>>>
>>>> Hi ShaoFeng
>>>>
>>>> Thank you very much for your valuable feedback
>>>>
>>>> I saw the application to be there (if I see it right) as in the
>>>> attachment photo. Kindly advise so that I can run this query on OLAP.
>>>>
>>>> PS. I sent you the log file in private.
>>>>
>>>> [image: image.png]
>>>>
>>>> On Tue, Oct 31, 2023 at 3:11 PM ShaoFeng Shi <shaofeng...@apache.org>
>>>> wrote:
>>>>
>>>>> Can you provide the messages in logs/kylin.log when executing the SQL?
>>>>> and you can also check the Spark UI from yarn resource manager (there
>>>>> should be one running application called Spardar, which is Kylin's backend
>>>>> spark application). If the application is not there, it may indicates the
>>>>> yarn doesn't have resource to startup it.
>>>>>
>>>>> Best regards,
>>>>>
>>>>> Shaofeng Shi 史少锋
>>>>> Apache Kylin PMC,
>>>>> Apache Incubator PMC,
>>>>> Email: shaofeng...@apache.org
>>>>>
>>>>> Apache Kylin FAQ:
>>>>> https://kylin.apache.org/docs/gettingstarted/faq.html
>>>>> Join Kylin user mail group: user-subscr...@kylin.apache.org
>>>>> Join Kylin dev mail group: dev-subscr...@kylin.apache.org
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Nam Đỗ Duy <na...@vnpay.vn> 于2023年10月31日周二 10:35写道:
>>>>>
>>>>>> Dear Sir/Madam,
>>>>>>
>>>>>> I have a fact with 500million rows then I build model, index
>>>>>> according to the website help.
>>>>>>
>>>>>> I chose full incremental because this is the first times I load data
>>>>>>
>>>>>> I create both index types Aggregate group index, table index as photo
>>>>>> attached.
>>>>>>
>>>>>> But the query always failed after timeout of 300 seconds (I run in
>>>>>> docker), I dont want to increase the value of 300 seconds because I wish
>>>>>> the OLAP can run within 1 minutes (is that possible?)
>>>>>>
>>>>>> It seems that the OLAP function in indexing not working to speedup
>>>>>> the query by precomputed cube.
>>>>>>
>>>>>> Can you advise to check whether the index did really work?
>>>>>>
>>>>>> It is quite urgent task for me so prompt response is highly
>>>>>> appreciated.
>>>>>>
>>>>>> Thank you very much
>>>>>>
>>>>>

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