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  1. Couchbase Server
  2. MB-61473

95% of the analytics queries couldn't complete in 75s SDK default timeout when ran on external collections pointing to s3 bucket with 1M items in 1000 files each(1B total)

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    Description

      1. Create a 1 compute unit columnar cluster
      2. Create an s3 link and 10 external collections pointing to a s3 bucket having 1B docs. 1M items in 1000 files approx.
      3. Start a query workload on external collections.

        CBAS Query Statistics
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        | Bucket | Total Queries | Failed Queries | Success Queries | Rejected Queries | Cancelled Queries | Timeout Queries | Errored Queries |
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        | s3     | count(37)     | count(0)       | count(3)        | count(0)         | count(0)          | count(27)       | count(0)        |
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        

      4. Scale Out from 1->2

        CBAS Query Statistics
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        | Bucket | Total Queries | Failed Queries | Success Queries | Rejected Queries | Cancelled Queries | Timeout Queries | Errored Queries |
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        | s3     | count(78)     | count(0)       | count(7)        | count(0)         | count(0)          | count(65)       | count(0)        |
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        

      5. Scale Out from 2->4

        CBAS Query Statistics
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        | Bucket | Total Queries | Failed Queries | Success Queries | Rejected Queries | Cancelled Queries | Timeout Queries | Errored Queries |
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        | s3     | count(126)    | count(0)       | count(9)        | count(0)         | count(0)          | count(112)      | count(0)        |
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        

      6. Scale IN from 4->2

        CBAS Query Statistics
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        | Bucket | Total Queries | Failed Queries | Success Queries | Rejected Queries | Cancelled Queries | Timeout Queries | Errored Queries |
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        | s3     | count(275)    | count(0)       | count(10)       | count(0)         | count(14)         | count(242)      | count(0)        |
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        

      7. Scale IN from 2->1

        CBAS Query Statistics
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        | Bucket | Total Queries | Failed Queries | Success Queries | Rejected Queries | Cancelled Queries | Timeout Queries | Errored Queries |
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        | s3     | count(1121)   | count(0)       | count(19)       | count(0)         | count(27)         | count(1063)     | count(0)        |
        +--------+---------------+----------------+-----------------+------------------+-------------------+-----------------+-----------------+
        

      Queries

      SELECT * from s3_xSuIj_volCollection_0 where phone like "4%" limit 100
       
      SELECT * from s3_xSuIj_volCollection_1 where `type` is not null limit 100
       
      SELECT COUNT(CASE WHEN free_breakfast THEN 1 ELSE NULL END) AS count_free_breakfast, COUNT(CASE WHEN free_parking THEN 1 ELSE NULL END) AS count_free_parking, COUNT(CASE WHEN free_parking AND free_breakfast THEN 1 ELSE NULL END) AS count_free_parking_and_breakfast FROM s3_xSuIj_volCollection_2 WHERE city LIKE 'North%' ORDER BY count_free_parking_and_breakfast DESC  limit 100
       
      WITH city_avg AS (SELECT city, AVG(price) AS avgprice FROM s3_xSuIj_volCollection_3 WHERE price IS NOT NULL GROUP BY city) SELECT h.name, h.price FROM s3_xSuIj_volCollection_3 h JOIN city_avg ON h.city = city_avg.city WHERE h.price < city_avg.avgprice AND h.price IS NOT NULL limit 100
       
      select city,country,count(*) from s3_xSuIj_volCollection_4 where free_breakfast=True and free_parking=True group by country,city order by country,city limit 100
       
      select avg(price) as AvgPrice, min(price) as MinPrice, max(price) as MaxPrice from s3_xSuIj_volCollection_5 where free_breakfast=True and free_parking=True and price is not null and array_count(public_likes)>5 and `type`='Hotel' group by country limit 100
      

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            ritesh.agarwal Ritesh Agarwal
            ritesh.agarwal Ritesh Agarwal
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              Updated:
              Resolved:

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