ervu-dashboard-etl/mappings_new/country/total_registered.age.hpl

<?xml version="1.0" encoding="UTF-8"?>
<pipeline>
  <info>
    <name>total_registered.age</name>
    <name_sync_with_filename>Y</name_sync_with_filename>
    <description/>
    <extended_description/>
    <pipeline_version/>
    <pipeline_type>Normal</pipeline_type>
    <pipeline_status>0</pipeline_status>
    <parameters>
    </parameters>
    <capture_transform_performance>N</capture_transform_performance>
    <transform_performance_capturing_delay>1000</transform_performance_capturing_delay>
    <transform_performance_capturing_size_limit>100</transform_performance_capturing_size_limit>
    <created_user>-</created_user>
    <created_date>2024/08/02 11:56:22.507</created_date>
    <modified_user>-</modified_user>
    <modified_date>2024/08/02 11:56:22.507</modified_date>
  </info>
  <notepads>
  </notepads>
  <order>
    <hop>
      <from>Get variables 2 2</from>
      <to>Select values 2 2</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Table input (person_registry) РФ/все/на учете</from>
      <to>Get variables 2 2</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Select values 2 2</from>
      <to>Insert / update (total_registered.age)</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Execute SQL script</from>
      <to>Table input (person_registry) РФ/все/на учете</to>
      <enabled>Y</enabled>
    </hop>
  </order>
  <transform>
    <name>Execute SQL script</name>
    <type>ExecSql</type>
    <description/>
    <distribute>N</distribute>
    <custom_distribution/>
    <copies>1</copies>
    <partitioning>
      <method>none</method>
      <schema_name/>
    </partitioning>
    <arguments>
</arguments>
    <connection>ervu-dashboard</connection>
    <execute_each_row>N</execute_each_row>
    <quoteString>N</quoteString>
    <replace_variables>Y</replace_variables>
    <set_params>N</set_params>
    <single_statement>N</single_statement>
    <sql>DELETE FROM total_registered.age
WHERE recording_date = current_date
	AND schema = 'Ministry'
	AND recruitment_id = '${REG_ID}'</sql>
    <attributes/>
    <GUI>
      <xloc>848</xloc>
      <yloc>560</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Get variables 2 2</name>
    <type>GetVariable</type>
    <description/>
    <distribute>Y</distribute>
    <custom_distribution/>
    <copies>1</copies>
    <partitioning>
      <method>none</method>
      <schema_name/>
    </partitioning>
    <fields>
      <field>
        <length>-1</length>
        <name>REG_ID</name>
        <precision>-1</precision>
        <trim_type>none</trim_type>
        <type>String</type>
      </field>
      <field>
        <length>-1</length>
        <name>VK_ARRAY</name>
        <precision>-1</precision>
        <trim_type>none</trim_type>
        <type>String</type>
      </field>
    </fields>
    <attributes/>
    <GUI>
      <xloc>1408</xloc>
      <yloc>560</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Insert / update (total_registered.age)</name>
    <type>InsertUpdate</type>
    <description/>
    <distribute>Y</distribute>
    <custom_distribution/>
    <copies>1</copies>
    <partitioning>
      <method>none</method>
      <schema_name/>
    </partitioning>
    <commit>100</commit>
    <connection>ervu-dashboard</connection>
    <lookup>
      <key>
        <condition>=</condition>
        <field>recruitment_id</field>
        <name>REG_ID</name>
      </key>
      <key>
        <condition>=</condition>
        <field>"all_M_W"</field>
        <name>gender</name>
      </key>
      <key>
        <condition>=</condition>
        <field>registered</field>
        <name>registered</name>
      </key>
      <key>
        <condition>=</condition>
        <field>schema</field>
        <name>schema</name>
      </key>
      <key>
        <condition>=</condition>
        <field>convicts</field>
        <name>convicts</name>
      </key>
      <schema>total_registered</schema>
      <table>age</table>
      <value>
        <name>"17_years"</name>
        <rename>17_year_count</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"18-26_years"</name>
        <rename>18-26_year_count</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"27-30_years"</name>
        <rename>27-30_year_count</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"31-35_years"</name>
        <rename>31-35_year_count</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"36-40_years"</name>
        <rename>36-40_year_count</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"41-45_years"</name>
        <rename>41-45_year_count</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"51+_years"</name>
        <rename>41-45_year_count</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"all_M_W"</name>
        <rename>gender</rename>
        <update>N</update>
      </value>
      <value>
        <name>"46-50_years"</name>
        <rename>46-50_year_count</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"17_years_percent"</name>
        <rename>17_year_percent</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"18-26_years_percent"</name>
        <rename>18-26_year_percent</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"27-30_years_percent"</name>
        <rename>27-30_year_percent</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"31-35_years_percent"</name>
        <rename>31-35_year_percent</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"36-40_years_percent"</name>
        <rename>36-40_year_percent</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"41-45_years_percent"</name>
        <rename>41-45_year_percent</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"46-50_years_percent"</name>
        <rename>46-50_year_percent</rename>
        <update>Y</update>
      </value>
      <value>
        <name>"51+_years_percent"</name>
        <rename>51+_year_percent</rename>
        <update>Y</update>
      </value>
      <value>
        <name>recruitment_id</name>
        <rename>recruitment_id</rename>
        <update>N</update>
      </value>
      <value>
        <name>registered</name>
        <rename>registered</rename>
        <update>N</update>
      </value>
      <value>
        <name>schema</name>
        <rename>schema</rename>
        <update>N</update>
      </value>
      <value>
        <name>convicts</name>
        <rename>convicts</rename>
        <update>N</update>
      </value>
      <value>
        <name>total_count</name>
        <rename>total_count</rename>
        <update>Y</update>
      </value>
    </lookup>
    <update_bypassed>Y</update_bypassed>
    <attributes/>
    <GUI>
      <xloc>1904</xloc>
      <yloc>560</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Select values 2 2</name>
    <type>SelectValues</type>
    <description/>
    <distribute>Y</distribute>
    <custom_distribution/>
    <copies>1</copies>
    <partitioning>
      <method>none</method>
      <schema_name/>
    </partitioning>
    <fields>
      <select_unspecified>N</select_unspecified>
      <meta>
        <name>REG_ID</name>
        <rename>REG_ID</rename>
        <type>String</type>
        <length>-2</length>
        <precision>-2</precision>
        <conversion_mask/>
        <date_format_lenient>false</date_format_lenient>
        <date_format_locale/>
        <date_format_timezone/>
        <lenient_string_to_number>false</lenient_string_to_number>
        <encoding/>
        <decimal_symbol/>
        <grouping_symbol/>
        <currency_symbol/>
        <storage_type/>
      </meta>
      <meta>
        <name>VK_ARRAY</name>
        <rename>VK_ARRAY</rename>
        <type>String</type>
        <length>-2</length>
        <precision>-2</precision>
        <conversion_mask/>
        <date_format_lenient>false</date_format_lenient>
        <date_format_locale/>
        <date_format_timezone/>
        <lenient_string_to_number>false</lenient_string_to_number>
        <encoding/>
        <decimal_symbol/>
        <grouping_symbol/>
        <currency_symbol/>
        <storage_type/>
      </meta>
    </fields>
    <attributes/>
    <GUI>
      <xloc>1616</xloc>
      <yloc>560</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Table input (person_registry) РФ/все/на учете</name>
    <type>TableInput</type>
    <description/>
    <distribute>Y</distribute>
    <custom_distribution/>
    <copies>1</copies>
    <partitioning>
      <method>none</method>
      <schema_name/>
    </partitioning>
    <connection>ervu-dashboard</connection>
    <execute_each_row>N</execute_each_row>
    <limit>0</limit>
    <sql>
SELECT
    COALESCE(SUM(total_count), 0) total_count,
    COALESCE(SUM("17_years"), 0) "17_year_count",
    COALESCE(SUM("18-26_years"), 0) "18-26_year_count",
    COALESCE(SUM("27-30_years"), 0) "27-30_year_count",
    COALESCE(SUM("31-35_years"), 0) "31-35_year_count",
    COALESCE(SUM("36-40_years"), 0) "36-40_year_count",
    COALESCE(SUM("41-45_years"), 0) "41-45_year_count",
    COALESCE(SUM("51+_years"), 0) "51+_year_count",
    COALESCE(SUM("46-50_years"), 0) "46-50_year_count",
    COALESCE(
            CASE 
                WHEN SUM(total_count) > 0 
                THEN ROUND((SUM("17_years") / SUM(total_count) * 100), 2) 
                ELSE 0 
            END, 
            0
        ) "17_year_percent",
    COALESCE(
            CASE 
                WHEN SUM(total_count) > 0 
                THEN ROUND((SUM("18-26_years") / SUM(total_count) * 100), 2) 
                ELSE 0 
            END, 
            0
        ) "18-26_year_percent",
    COALESCE(
            CASE 
                WHEN SUM(total_count) > 0 
                THEN ROUND((SUM("27-30_years") / SUM(total_count) * 100), 2) 
                ELSE 0 
            END, 
            0
        ) "27-30_year_percent",
    COALESCE(
            CASE 
                WHEN SUM(total_count) > 0 
                THEN ROUND((SUM("31-35_years") / SUM(total_count) * 100), 2) 
                ELSE 0 
            END, 
            0
        ) "31-35_year_percent",
    COALESCE(
            CASE 
                WHEN SUM(total_count) > 0 
                THEN ROUND((SUM("36-40_years") / SUM(total_count) * 100), 2) 
                ELSE 0 
            END, 
            0
        ) "36-40_year_percent",
    COALESCE(
            CASE 
                WHEN SUM(total_count) > 0 
                THEN ROUND((SUM("41-45_years") / SUM(total_count) * 100), 2) 
                ELSE 0 
            END, 
            0
        ) "41-45_year_percent",
    COALESCE(
            CASE 
                WHEN SUM(total_count) > 0 
                THEN ROUND((SUM("46-50_years") / SUM(total_count) * 100), 2) 
                ELSE 0 
            END, 
            0
        ) "46-50_year_percent",
    COALESCE(
            CASE 
                WHEN SUM(total_count) > 0 
                THEN ROUND((SUM("51+_years") / SUM(total_count) * 100), 2) 
                ELSE 0 
            END, 
            0
        ) "51+_year_percent",

    '${REG_ID}' AS recruitment_id,
    registered,
    "all_M_W" AS gender,
    convicts,
    'Ministry' AS schema
FROM total_registered.age
WHERE recruitment_id = ANY ('${VK_ARRAY}')
AND schema = 'Region'
AND recording_date = CURRENT_DATE
GROUP BY "all_M_W", registered, convicts;</sql>
    <variables_active>Y</variables_active>
    <attributes/>
    <GUI>
      <xloc>1104</xloc>
      <yloc>560</yloc>
    </GUI>
  </transform>
  <transform_error_handling>
  </transform_error_handling>
  <attributes/>
</pipeline>