How to query and iterate over array of structures in Athena (Presto)?

Question

I have a S3 bucket with 500,000+ json records, eg.

{
  "userId": "00000000001",
  "profile": {
    "created": 1539469486,
    "userId": "00000000001",
    "primaryApplicant": {
      "totalSavings": 65000,
      "incomes": [
        { "amount": 5000, "incomeType": "SALARY", "frequency": "FORTNIGHTLY" },
        { "amount": 2000, "incomeType": "OTHER", "frequency": "MONTHLY" }
      ]
    }
  }
}

I created a new table in Athena

CREATE EXTERNAL TABLE profiles (  
  userId string,
  profile struct<
    created:int,
    userId:string,
    primaryApplicant:struct<
      totalSavings:int,
      incomes:array<struct<amount:int,incomeType:string,frequency:string>>,
    >
  >
)
ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe'
WITH SERDEPROPERTIES ( 'ignore.malformed.json' = 'true')
LOCATION 's3://profile-data'

I am interested in the incomeTypes, eg. "SALARY", "PENSIONS", "OTHER", etc.. and ran this query changing jsonData.incometype each time:

SELECT jsonData
FROM "sampledb"."profiles"

CROSS JOIN UNNEST(sampledb.profiles.profile.primaryApplicant.incomes) AS la(jsonData)

WHERE jsonData.incometype='SALARY'

This worked fine with CROSS JOIN UNNEST which flattened the incomes array so that the data example above would span across 2 rows. The only idiosyncratic thing was that CROSS JOIN UNNEST made all the field names lowercase, eg. a row looked like this:

{amount=1520, incometype=SALARY, frequency=FORTNIGHTLY}

Now I have been asked how many users have two or more "SALARY" entries, eg.

      "incomes": [
        { "amount": 3000, "incomeType": "SALARY", "frequency": "FORTNIGHTLY" },
        { "amount": 4000, "incomeType": "SALARY", "frequency": "MONTHLY" }
      ],

I'm not sure how to go about this.

1. How do I query the array of structures to look for duplicate incomeTypes of "SALARY"?

2. Do I have to iterate over the array?

3. What should the result look like?

Answer 1

UNNEST is a very powerful feature, and it's possible to solve this problem using it. However, I think using Presto's Lambda functions is more straight forward:

SELECT COUNT(*)
FROM sampledb.profiles
WHERE CARDINALITY(FILTER(profile.primaryApplicant.incomes, income -> income.incomeType = 'SALARY')) > 1

This solution uses FILTER on the profile.primaryApplicant.incomes array to get only those with an incomeType of SALARY, and then CARDINALITY to extract the length of that result.

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Case sensitivity is never easy with SQL engines. In general I think you should not expect them to respect case, and many don't. Athena in particular explicitly converts column names to lower case.