Add macros for athena

Signed-off-by: popcorny <[email protected]>

macros/README.md

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+## Adapter Macros
+
+Recce use dbt package `audit-hepler` and `dbt_profiler` for value diff and profile diff. However, it encounters some SQL compatibility issues in some warehouse. The folder is to provide adapter-specific macro by mean of the dbt [macro dispatch](https://docs.getdbt.com/reference/dbt-jinja-functions/dispatch) mechanism.
+
+## How to use
+
+1. Copy `recce_<adapter>.sql` to your dbt project `macros/` folder.
+2. Rerun the `dbt` command to add the macros to your `target/manifest.json`

macros/recce_athena.sql

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+{% macro athena__compare_column_values(a_query, b_query, primary_key, column_to_compare, emojis, a_relation_name, b_relation_name) -%}
+with a_query as (
+    {{ a_query }}
+),
+
+b_query as (
+    {{ b_query }}
+),
+
+joined as (
+    select
+        coalesce(a_query.{{ primary_key }}, b_query.{{ primary_key }}) as {{ primary_key }},
+        a_query.{{ column_to_compare }} as a_query_value,
+        b_query.{{ column_to_compare }} as b_query_value,
+        case
+            when a_query.{{ column_to_compare }} = b_query.{{ column_to_compare }} then '{% if emojis %}✅: {% endif %}perfect match'
+            when a_query.{{ column_to_compare }} is null and b_query.{{ column_to_compare }} is null then '{% if emojis %}✅: {% endif %}both are null'
+            when a_query.{{ primary_key }} is null then '{% if emojis %}🤷: {% endif %}missing from {{ a_relation_name }}'
+            when b_query.{{ primary_key }} is null then '{% if emojis %}🤷: {% endif %}missing from {{ b_relation_name }}'
+            when a_query.{{ column_to_compare }} is null then '{% if emojis %}🤷: {% endif %}value is null in {{ a_relation_name }} only'
+            when b_query.{{ column_to_compare }} is null then '{% if emojis %}🤷: {% endif %}value is null in {{ b_relation_name }} only'
+            when a_query.{{ column_to_compare }} != b_query.{{ column_to_compare }} then '{% if emojis %}❌: {% endif %}‍values do not match'
+            else 'unknown' -- this should never happen
+        end as match_status,
+        case
+            when a_query.{{ column_to_compare }} = b_query.{{ column_to_compare }} then 0
+            when a_query.{{ column_to_compare }} is null and b_query.{{ column_to_compare }} is null then 1
+            when a_query.{{ primary_key }} is null then 2
+            when b_query.{{ primary_key }} is null then 3
+            when a_query.{{ column_to_compare }} is null then 4
+            when b_query.{{ column_to_compare }} is null then 5
+            when a_query.{{ column_to_compare }} != b_query.{{ column_to_compare }} then 6
+            else 7 -- this should never happen
+        end as match_order
+
+    from a_query
+
+    full outer join b_query on a_query.{{ primary_key }} = b_query.{{ primary_key }}
+),
+
+aggregated as (
+    select
+        '{{ column_to_compare }}' as column_name,
+        match_status,
+        match_order,
+        count(*) as count_records
+    from joined
+
+    group by '{{ column_to_compare }}', match_status, match_order
+)
+
+select
+    column_name,
+    match_status,
+    count_records,
+    round(100.0 * count_records / sum(count_records) over (), 2) as percent_of_total
+
+from aggregated
+
+order by match_order
+
+{% endmacro %}
+
+
+{%- macro athena__measure_median(column_name, data_type, cte_name) -%}
+
+{%- if dbt_profiler.is_numeric_dtype(data_type) and not dbt_profiler.is_struct_dtype(data_type) -%}
+    approx_percentile( {{ adapter.quote(column_name) }}, 0.5)
+{%- else -%}
+    cast(null as {{ dbt.type_numeric() }})
+{%- endif -%}
+
+{%- endmacro -%}