25 lines
1.3 KiB
SQL
25 lines
1.3 KiB
SQL
{{ config(
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indexes = [{'columns':['_airbyte_emitted_at'],'type':'btree'}],
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unique_key = '_airbyte_ab_id',
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schema = "_airbyte_unibag",
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tags = [ "top-level-intermediate" ]
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) }}
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-- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
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-- depends_on: {{ source('unibag', '_airbyte_raw_team_histories') }}
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select
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{{ json_extract_scalar('_airbyte_data', ['_id'], ['_id']) }} as _id,
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{{ json_extract_scalar('_airbyte_data', ['date'], ['date']) }} as {{ adapter.quote('date') }},
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{{ json_extract_scalar('_airbyte_data', ['team'], ['team']) }} as team,
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{{ json_extract_scalar('_airbyte_data', ['level'], ['level']) }} as {{ adapter.quote('level') }},
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{{ json_extract_scalar('_airbyte_data', ['leader'], ['leader']) }} as leader,
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{{ json_extract_scalar('_airbyte_data', ['status'], ['status']) }} as status,
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{{ json_extract_scalar('_airbyte_data', ['createdAt'], ['createdAt']) }} as createdat,
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{{ json_extract_scalar('_airbyte_data', ['statistic'], ['statistic']) }} as statistic,
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_airbyte_ab_id,
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_airbyte_emitted_at,
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{{ current_timestamp() }} as _airbyte_normalized_at
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from {{ source('unibag', '_airbyte_raw_team_histories') }} as table_alias
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-- team_histories
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where 1 = 1
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