ervu-dashboard-etl/mappings/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>Table input (person_registry) РФ/женщины/на учете</from>
      <to>Insert / update (total_registered.age) 3</to>
      <enabled>N</enabled>
    </hop>
    <hop>
      <from>Table input (person_registry) РФ/мужчины/на учете</from>
      <to>Insert / update (total_registered.age) 2</to>
      <enabled>N</enabled>
    </hop>
    <hop>
      <from>Table input (person_registry) РФ/все/на учете</from>
      <to>Insert / update (total_registered.age)</to>
      <enabled>N</enabled>
    </hop>
    <hop>
      <from>Table input (person_registry) РФ/все/не на учете</from>
      <to>Insert / update (total_registered.age) 4</to>
      <enabled>N</enabled>
    </hop>
    <hop>
      <from>Table input (person_registry) РФ/женщины/не на учете</from>
      <to>Insert / update (total_registered.age) 3 2</to>
      <enabled>N</enabled>
    </hop>
    <hop>
      <from>Table input (person_registry) РФ/мужчины/не на учете</from>
      <to>Insert / update (total_registered.age) 2 2</to>
      <enabled>N</enabled>
    </hop>
    <hop>
      <from>Get variables 2 2</from>
      <to>Select values 2 2</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Get variables 2 2 2</from>
      <to>Select values 2 2 2</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Get variables 2 2 3</from>
      <to>Select values 2 2 3</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Get variables 2 2 4</from>
      <to>Select values 2 2 4</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Get variables 2 2 5</from>
      <to>Select values 2 2 5</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Get variables 2 2 6</from>
      <to>Select values 2 2 6</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>Table input (person_registry) РФ/мужчины/на учете</from>
      <to>Get variables 2 2 2</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Select values 2 2 2</from>
      <to>Insert / update (total_registered.age) 2</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Table input (person_registry) РФ/женщины/на учете</from>
      <to>Get variables 2 2 3</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Select values 2 2 3</from>
      <to>Insert / update (total_registered.age) 3</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Table input (person_registry) РФ/все/не на учете</from>
      <to>Get variables 2 2 4</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Select values 2 2 4</from>
      <to>Insert / update (total_registered.age) 4</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Table input (person_registry) РФ/мужчины/не на учете</from>
      <to>Get variables 2 2 5</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Select values 2 2 5</from>
      <to>Insert / update (total_registered.age) 2 2</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Table input (person_registry) РФ/женщины/не на учете</from>
      <to>Get variables 2 2 6</to>
      <enabled>Y</enabled>
    </hop>
    <hop>
      <from>Select values 2 2 6</from>
      <to>Insert / update (total_registered.age) 3 2</to>
      <enabled>Y</enabled>
    </hop>
  </order>
  <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>
      <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>
    </lookup>
    <update_bypassed>Y</update_bypassed>
    <attributes/>
    <GUI>
      <xloc>1024</xloc>
      <yloc>224</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Insert / update (total_registered.age) 2</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>
      <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>
    </lookup>
    <update_bypassed>Y</update_bypassed>
    <attributes/>
    <GUI>
      <xloc>1024</xloc>
      <yloc>320</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Insert / update (total_registered.age) 2 2</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>
      <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>
    </lookup>
    <update_bypassed>Y</update_bypassed>
    <attributes/>
    <GUI>
      <xloc>1024</xloc>
      <yloc>672</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Insert / update (total_registered.age) 3</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>
      <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>
    </lookup>
    <update_bypassed>Y</update_bypassed>
    <attributes/>
    <GUI>
      <xloc>1024</xloc>
      <yloc>416</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Insert / update (total_registered.age) 3 2</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>
      <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>
    </lookup>
    <update_bypassed>Y</update_bypassed>
    <attributes/>
    <GUI>
      <xloc>1024</xloc>
      <yloc>768</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Insert / update (total_registered.age) 4</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>
      <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>
    </lookup>
    <update_bypassed>Y</update_bypassed>
    <attributes/>
    <GUI>
      <xloc>1024</xloc>
      <yloc>576</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_person_registry</connection>
    <execute_each_row>N</execute_each_row>
    <limit>0</limit>
    <sql>WITH total_count AS (
    SELECT COUNT(*) AS total
    FROM public.recruits r
    join public.recruits_info ri on ri.recruit_id=r.id
    WHERE r.vu_current_info->>'isMilitaryRegistered' = 'true' and r.current_recruitment_id is not null and r.target_recruitment_id is not null
),
age_counts AS (
    SELECT
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) = 17) AS "17_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 18 AND 26) AS "18-26_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 27 AND 30) AS "27-30_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 31 AND 35) AS "31-35_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 36 AND 40) AS "36-40_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 41 AND 45) AS "41-45_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 46 AND 50) AS "46-50_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) >= 51) AS "51+_year_count"   
    FROM public.recruits r
    join public.recruits_info ri on ri.recruit_id=r.id
    WHERE r.vu_current_info->>'isMilitaryRegistered' = 'true' and r.current_recruitment_id is not null and r.target_recruitment_id is not null
)
SELECT
    age_counts."17_year_count",
    ROUND((age_counts."17_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "17_year_percent",

    age_counts."18-26_year_count",
    ROUND((age_counts."18-26_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "18-26_year_percent",

    age_counts."27-30_year_count",
    ROUND((age_counts."27-30_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "27-30_year_percent",

    age_counts."31-35_year_count",
    ROUND((age_counts."31-35_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "31-35_year_percent",

    age_counts."36-40_year_count",
    ROUND((age_counts."36-40_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "36-40_year_percent",

    age_counts."41-45_year_count",
    ROUND((age_counts."41-45_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "41-45_year_percent",

    age_counts."46-50_year_count",
    ROUND((age_counts."46-50_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "46-50_year_percent",

    age_counts."51+_year_count",
    ROUND((age_counts."51+_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "51+_year_percent",

    '${REG_ID}' as recruitment_id,
    'ALL' as gender,
    'true' as registered
    
FROM age_counts, total_count;</sql>
    <variables_active>Y</variables_active>
    <attributes/>
    <GUI>
      <xloc>400</xloc>
      <yloc>224</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Table input (person_registry) РФ/все/не на учете</name>
    <type>TableInput</type>
    <description/>
    <distribute>Y</distribute>
    <custom_distribution/>
    <copies>1</copies>
    <partitioning>
      <method>none</method>
      <schema_name/>
    </partitioning>
    <connection>ervu_person_registry</connection>
    <execute_each_row>N</execute_each_row>
    <limit>0</limit>
    <sql>WITH total_count AS (
    SELECT COUNT(*) AS total
    FROM public.recruits r
    join public.recruits_info ri on ri.recruit_id=r.id
    WHERE r.vu_current_info->>'isMilitaryRegistered' = 'false' and r.current_recruitment_id is not null and r.target_recruitment_id is not null
),
age_counts AS (
    SELECT
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) = 17) AS "17_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 18 AND 26) AS "18-26_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 27 AND 30) AS "27-30_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 31 AND 35) AS "31-35_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 36 AND 40) AS "36-40_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 41 AND 45) AS "41-45_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 46 AND 50) AS "46-50_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) >= 51) AS "51+_year_count"   
    FROM public.recruits r
    join public.recruits_info ri on ri.recruit_id=r.id
    WHERE r.vu_current_info->>'isMilitaryRegistered' = 'false' and r.current_recruitment_id is not null and r.target_recruitment_id is not null
)
SELECT
    age_counts."17_year_count",
    ROUND((age_counts."17_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "17_year_percent",

    age_counts."18-26_year_count",
    ROUND((age_counts."18-26_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "18-26_year_percent",

    age_counts."27-30_year_count",
    ROUND((age_counts."27-30_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "27-30_year_percent",

    age_counts."31-35_year_count",
    ROUND((age_counts."31-35_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "31-35_year_percent",

    age_counts."36-40_year_count",
    ROUND((age_counts."36-40_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "36-40_year_percent",

    age_counts."41-45_year_count",
    ROUND((age_counts."41-45_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "41-45_year_percent",

    age_counts."46-50_year_count",
    ROUND((age_counts."46-50_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "46-50_year_percent",

    age_counts."51+_year_count",
    ROUND((age_counts."51+_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "51+_year_percent",

    '${REG_ID}' as recruitment_id,
    'ALL' as gender,
    'false' as registered
    
FROM age_counts, total_count;</sql>
    <variables_active>Y</variables_active>
    <attributes/>
    <GUI>
      <xloc>400</xloc>
      <yloc>576</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Table input (person_registry) РФ/женщины/на учете</name>
    <type>TableInput</type>
    <description/>
    <distribute>Y</distribute>
    <custom_distribution/>
    <copies>1</copies>
    <partitioning>
      <method>none</method>
      <schema_name/>
    </partitioning>
    <connection>ervu_person_registry</connection>
    <execute_each_row>N</execute_each_row>
    <limit>0</limit>
    <sql>WITH total_count AS (
    SELECT COUNT(*) AS total
    FROM public.recruits r
    join public.recruits_info ri on ri.recruit_id=r.id
    WHERE r.gender = 'FEMALE' AND r.vu_current_info->>'isMilitaryRegistered' = 'true' and r.current_recruitment_id is not null and r.target_recruitment_id is not null
),
age_counts AS (
    SELECT
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) = 17) AS "17_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 18 AND 26) AS "18-26_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 27 AND 30) AS "27-30_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 31 AND 35) AS "31-35_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 36 AND 40) AS "36-40_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 41 AND 45) AS "41-45_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 46 AND 50) AS "46-50_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) >= 51) AS "51+_year_count"   
    FROM public.recruits r
    join public.recruits_info ri on ri.recruit_id=r.id
    WHERE r.gender = 'FEMALE' AND r.vu_current_info->>'isMilitaryRegistered' = 'true' and r.current_recruitment_id is not null and r.target_recruitment_id is not null
)
SELECT
    age_counts."17_year_count",
    ROUND((age_counts."17_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "17_year_percent",

    age_counts."18-26_year_count",
    ROUND((age_counts."18-26_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "18-26_year_percent",

    age_counts."27-30_year_count",
    ROUND((age_counts."27-30_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "27-30_year_percent",

    age_counts."31-35_year_count",
    ROUND((age_counts."31-35_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "31-35_year_percent",

    age_counts."36-40_year_count",
    ROUND((age_counts."36-40_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "36-40_year_percent",

    age_counts."41-45_year_count",
    ROUND((age_counts."41-45_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "41-45_year_percent",

    age_counts."46-50_year_count",
    ROUND((age_counts."46-50_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "46-50_year_percent",

    age_counts."51+_year_count",
    ROUND((age_counts."51+_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "51+_year_percent",

    '${REG_ID}' as recruitment_id,
    'W' as gender,
    'true' as registered

FROM age_counts, total_count;</sql>
    <variables_active>Y</variables_active>
    <attributes/>
    <GUI>
      <xloc>400</xloc>
      <yloc>416</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Table input (person_registry) РФ/женщины/не на учете</name>
    <type>TableInput</type>
    <description/>
    <distribute>Y</distribute>
    <custom_distribution/>
    <copies>1</copies>
    <partitioning>
      <method>none</method>
      <schema_name/>
    </partitioning>
    <connection>ervu_person_registry</connection>
    <execute_each_row>N</execute_each_row>
    <limit>0</limit>
    <sql>WITH total_count AS (
    SELECT COUNT(*) AS total
    FROM public.recruits r
    join public.recruits_info ri on ri.recruit_id=r.id
    WHERE r.gender = 'FEMALE' AND r.vu_current_info->>'isMilitaryRegistered' = 'false' and r.current_recruitment_id is not null and r.target_recruitment_id is not null
),
age_counts AS (
    SELECT
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) = 17) AS "17_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 18 AND 26) AS "18-26_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 27 AND 30) AS "27-30_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 31 AND 35) AS "31-35_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 36 AND 40) AS "36-40_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 41 AND 45) AS "41-45_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 46 AND 50) AS "46-50_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) >= 51) AS "51+_year_count"   
    FROM public.recruits r
    join public.recruits_info ri on ri.recruit_id=r.id
    WHERE r.gender = 'FEMALE' AND r.vu_current_info->>'isMilitaryRegistered' = 'false' and r.current_recruitment_id is not null and r.target_recruitment_id is not null
)
SELECT
    age_counts."17_year_count",
    ROUND((age_counts."17_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "17_year_percent",

    age_counts."18-26_year_count",
    ROUND((age_counts."18-26_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "18-26_year_percent",

    age_counts."27-30_year_count",
    ROUND((age_counts."27-30_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "27-30_year_percent",

    age_counts."31-35_year_count",
    ROUND((age_counts."31-35_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "31-35_year_percent",

    age_counts."36-40_year_count",
    ROUND((age_counts."36-40_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "36-40_year_percent",

    age_counts."41-45_year_count",
    ROUND((age_counts."41-45_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "41-45_year_percent",

    age_counts."46-50_year_count",
    ROUND((age_counts."46-50_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "46-50_year_percent",

    age_counts."51+_year_count",
    ROUND((age_counts."51+_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "51+_year_percent",

    '${REG_ID}' as recruitment_id,
    'W' as gender,
    'false' as registered

FROM age_counts, total_count;</sql>
    <variables_active>Y</variables_active>
    <attributes/>
    <GUI>
      <xloc>400</xloc>
      <yloc>768</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Table input (person_registry) РФ/мужчины/на учете</name>
    <type>TableInput</type>
    <description/>
    <distribute>Y</distribute>
    <custom_distribution/>
    <copies>1</copies>
    <partitioning>
      <method>none</method>
      <schema_name/>
    </partitioning>
    <connection>ervu_person_registry</connection>
    <execute_each_row>N</execute_each_row>
    <limit>0</limit>
    <sql>WITH total_count AS (
    SELECT COUNT(*) AS total
    FROM public.recruits r
    join public.recruits_info ri on ri.recruit_id=r.id
    WHERE r.gender = 'MALE' AND r.vu_current_info->>'isMilitaryRegistered' = 'true' and r.current_recruitment_id is not null and r.target_recruitment_id is not null
),
age_counts AS (
    SELECT
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) = 17) AS "17_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 18 AND 26) AS "18-26_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 27 AND 30) AS "27-30_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 31 AND 35) AS "31-35_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 36 AND 40) AS "36-40_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 41 AND 45) AS "41-45_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 46 AND 50) AS "46-50_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) >= 51) AS "51+_year_count"   
    FROM public.recruits r
    join public.recruits_info ri on ri.recruit_id=r.id
    WHERE r.gender = 'MALE' AND r.vu_current_info->>'isMilitaryRegistered' = 'true' and r.current_recruitment_id is not null and r.target_recruitment_id is not null
)
SELECT
    age_counts."17_year_count",
    ROUND((age_counts."17_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "17_year_percent",

    age_counts."18-26_year_count",
    ROUND((age_counts."18-26_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "18-26_year_percent",

    age_counts."27-30_year_count",
    ROUND((age_counts."27-30_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "27-30_year_percent",

    age_counts."31-35_year_count",
    ROUND((age_counts."31-35_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "31-35_year_percent",

    age_counts."36-40_year_count",
    ROUND((age_counts."36-40_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "36-40_year_percent",

    age_counts."41-45_year_count",
    ROUND((age_counts."41-45_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "41-45_year_percent",

    age_counts."46-50_year_count",
    ROUND((age_counts."46-50_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "46-50_year_percent",

    age_counts."51+_year_count",
    ROUND((age_counts."51+_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "51+_year_percent",

    '${REG_ID}' as recruitment_id,
    'M' as gender,
    'true' as registered

FROM age_counts, total_count;</sql>
    <variables_active>Y</variables_active>
    <attributes/>
    <GUI>
      <xloc>400</xloc>
      <yloc>320</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Table input (person_registry) РФ/мужчины/не на учете</name>
    <type>TableInput</type>
    <description/>
    <distribute>Y</distribute>
    <custom_distribution/>
    <copies>1</copies>
    <partitioning>
      <method>none</method>
      <schema_name/>
    </partitioning>
    <connection>ervu_person_registry</connection>
    <execute_each_row>N</execute_each_row>
    <limit>0</limit>
    <sql>WITH total_count AS (
    SELECT COUNT(*) AS total
    FROM public.recruits r
    join public.recruits_info ri on ri.recruit_id=r.id
    WHERE r.gender = 'MALE' AND r.vu_current_info->>'isMilitaryRegistered' = 'false' and r.current_recruitment_id is not null and r.target_recruitment_id is not null
),
age_counts AS (
    SELECT
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) = 17) AS "17_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 18 AND 26) AS "18-26_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 27 AND 30) AS "27-30_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 31 AND 35) AS "31-35_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 36 AND 40) AS "36-40_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 41 AND 45) AS "41-45_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 46 AND 50) AS "46-50_year_count",
        COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) >= 51) AS "51+_year_count"   
    FROM public.recruits r
    join public.recruits_info ri on ri.recruit_id=r.id
    WHERE r.gender = 'MALE' AND r.vu_current_info->>'isMilitaryRegistered' = 'false' and r.current_recruitment_id is not null and r.target_recruitment_id is not null
)
SELECT
    age_counts."17_year_count",
    ROUND((age_counts."17_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "17_year_percent",

    age_counts."18-26_year_count",
    ROUND((age_counts."18-26_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "18-26_year_percent",

    age_counts."27-30_year_count",
    ROUND((age_counts."27-30_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "27-30_year_percent",

    age_counts."31-35_year_count",
    ROUND((age_counts."31-35_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "31-35_year_percent",

    age_counts."36-40_year_count",
    ROUND((age_counts."36-40_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "36-40_year_percent",

    age_counts."41-45_year_count",
    ROUND((age_counts."41-45_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "41-45_year_percent",

    age_counts."46-50_year_count",
    ROUND((age_counts."46-50_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "46-50_year_percent",

    age_counts."51+_year_count",
    ROUND((age_counts."51+_year_count" * 100.0) / NULLIF(total_count.total, 0),2) AS "51+_year_percent",

    '${REG_ID}' as recruitment_id,
    'M' as gender,
    'false' as registered

FROM age_counts, total_count;</sql>
    <variables_active>Y</variables_active>
    <attributes/>
    <GUI>
      <xloc>400</xloc>
      <yloc>672</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>608</xloc>
      <yloc>256</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>816</xloc>
      <yloc>256</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Get variables 2 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>608</xloc>
      <yloc>368</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Select values 2 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>816</xloc>
      <yloc>368</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Get variables 2 2 3</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>608</xloc>
      <yloc>464</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Select values 2 2 3</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>816</xloc>
      <yloc>464</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Get variables 2 2 4</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>608</xloc>
      <yloc>624</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Select values 2 2 4</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>816</xloc>
      <yloc>624</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Get variables 2 2 5</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>608</xloc>
      <yloc>720</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Select values 2 2 5</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>816</xloc>
      <yloc>720</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Get variables 2 2 6</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>608</xloc>
      <yloc>800</yloc>
    </GUI>
  </transform>
  <transform>
    <name>Select values 2 2 6</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>816</xloc>
      <yloc>800</yloc>
    </GUI>
  </transform>
  <transform_error_handling>
  </transform_error_handling>
  <attributes/>
</pipeline>