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DonĀ“t fear complex queries

  • create table dim_core_customers
  • as
  • select
  •   to_char(a223.client_id)           core_id,
  •   nvl(a223.first_name,'XNA')        core_first_name,
  •   nvl(a223.last_name,'XNA')         core_last_name,
  •   nvl(a223.stret_name,'XNA')        core_address_street_name,
  •   nvl(a223.city_name,'XNA')         core_city_name,
  •   nvl(a223.home_telno,'XNA')        core_home_telno,
  •   nvl(a223.mobile_telno,'XNA')      core_mobile_telno,
  •   nvl(a223.email,'XNA')             core_email,
  •   decode(to_char(subselect_tmp.employee), '1','Y','0', 'N', 'X') core_employee_flag,
  •   decode(to_char(subselect_tmp.approval), 'Yes', 'Y', 'No', 'N','X') core_approval_flag,
  •   subselect_tmp.acc_id              core_actual_acc_id,
  •   subselect_tmp.app_id              core_last_app_id,
  •   'CORE'                             core_dw_source_systen
  • from
  •   etl_owner.A223_core_client a223,
  •   etl_owner.A226_core_account a226 ,
  •   (select
  •     client_fk client_id,
  •     max(sales_fk) sales_id,
  •     max_turnover,
  •     min_turnover,
  •     int_current_date
  •   from
  •     int_owner.A228_core_sales_facts
  •   where
  •     int_current_date = to_date('20160331','YYYYMMDD')
  •   group by client_fk
  •   ) subselect_sales,
  •   (select
  •     client_fk client_id,
  •     max(sales_fk) sales_id,
  •     app_id,
  •     acc_id,
  •     int_current_date,
  •     int_status,
  •     employee,
  •     approval
  •   from
  •     int_owner.a266_core_facts fut
  •   ) subselect_tmp
  • where
  •   a226.int_status = 'NEW' and
  •   a226.int_current_date = to_date('20160331','YYYYMMDD') and
  •   subselect_tmp.int_status (+) = 'NEW' and
  •   subselect_tmp.int_current_date (+) = to_date('20160331','YYYYMMDD') and
  •   subselect_tmp.client_id (+) = a226.client_id and
  •   a223.client_id (+) = a226.client_id and
  •   subselect_tmp.client_id = subselect_sales.client_id and
  •   subselect_sales.int_current_date = to_date('20160331','YYYYMMDD')

Just copy & paste your complex SQL query and instantly get the diagram. Cool, huh?

QueryScope speeds up understanding of any complex SQL query and helps you quickly identify bugs.

It is done by visualising query structure and highlighting relevant lines. There is no faster way to identify table joins.

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Highlighting relevant parts of SQL code

Quickly navigate through SQL code including subqueries. SQLdep provides simple user interface to browse the data lineage and show you relevant parts of SQL code. Highlighting is in place to save time of your engineering team.

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Get access to the text based metadata we have computed. Download them, play with them. Useful when you need to detect unused tables/columns or when you need to cross verify your existing documentation. A must have for an advanced ETL tuning. Download as CSV or through our API.

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