ervu-dashboard-etl/mappings/region/total_registered.age(reg).hpl

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63 KiB
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<?xml version="1.0" encoding="UTF-8"?>
<pipeline>
<info>
<name>total_registered.age(reg)</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 3 2</from>
<to>Select values 3 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Get variables 3 2 2</from>
<to>Select values 3 2 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Get variables 3 2 2 2</from>
<to>Select values 3 2 2 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Table input (person_registry) регион/все</from>
<to>Get variables 3 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Select values 3 2</from>
<to>Insert / update (total_registered.age)</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Table input (person_registry) регион/мужчины</from>
<to>Get variables 3 2 2</to>
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</hop>
<hop>
<from>Select values 3 2 2</from>
<to>Insert / update (total_registered.age) 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Table input (person_registry) регион/женщины</from>
<to>Get variables 3 2 2 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Select values 3 2 2 2</from>
<to>Insert / update (total_registered.age) 3</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Get variables 3 2 3</from>
<to>Select values 3 2 3</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Get variables 3 2 2 3</from>
<to>Select values 3 2 2 3</to>
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</hop>
<hop>
<from>Get variables 3 2 2 2 2</from>
<to>Select values 3 2 2 2 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Select values 3 2 3</from>
<to>Insert / update (total_registered.age) 4</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Select values 3 2 2 3</from>
<to>Insert / update (total_registered.age) 2 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Select values 3 2 2 2 2</from>
<to>Insert / update (total_registered.age) 3 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Table input (person_registry) регион/все 2</from>
<to>Get variables 3 2 3</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Table input (person_registry) регион/женщины 2</from>
<to>Get variables 3 2 2 2 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Table input (person_registry) регион/мужчины 2</from>
<to>Get variables 3 2 2 3</to>
<enabled>Y</enabled>
</hop>
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<name>Get variables 3 2</name>
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<distribute>Y</distribute>
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<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>
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<transform>
<name>Get variables 3 2 2</name>
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<transform>
<name>Get variables 3 2 2 2</name>
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<transform>
<name>Get variables 3 2 2 2 2</name>
<type>GetVariable</type>
<description/>
<distribute>Y</distribute>
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<transform>
<name>Get variables 3 2 2 3</name>
<type>GetVariable</type>
<description/>
<distribute>Y</distribute>
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<name>Get variables 3 2 3</name>
<type>GetVariable</type>
<description/>
<distribute>Y</distribute>
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<attributes/>
<GUI>
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<yloc>736</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>
<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>1056</xloc>
<yloc>192</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>
<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>1056</xloc>
<yloc>352</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>
<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>
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</GUI>
</transform>
<transform>
<name>Insert / update (total_registered.age) 3</name>
<type>InsertUpdate</type>
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<distribute>Y</distribute>
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<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>
<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>1072</xloc>
<yloc>512</yloc>
</GUI>
</transform>
<transform>
<name>Insert / update (total_registered.age) 3 2</name>
<type>InsertUpdate</type>
<description/>
<distribute>Y</distribute>
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<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>
<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>1056</xloc>
<yloc>1056</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>
<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>1040</xloc>
<yloc>736</yloc>
</GUI>
</transform>
<transform>
<name>Select values 3 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>192</yloc>
</GUI>
</transform>
<transform>
<name>Select values 3 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>352</yloc>
</GUI>
</transform>
<transform>
<name>Select values 3 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>512</yloc>
</GUI>
</transform>
<transform>
<name>Select values 3 2 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>800</xloc>
<yloc>1056</yloc>
</GUI>
</transform>
<transform>
<name>Select values 3 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>800</xloc>
<yloc>896</yloc>
</GUI>
</transform>
<transform>
<name>Select values 3 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>800</xloc>
<yloc>736</yloc>
</GUI>
</transform>
<transform>
<name>Table input (person_registry) регион/все</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
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*)
END 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 (
'${VK_ARRAY}' IS NULL
OR '${VK_ARRAY}' = ''
OR r.target_recruitment_id = ANY (
string_to_array(
trim(both '{}' FROM replace('${VK_ARRAY}', ' ', '')), ','
)::uuid[]
)
)
),
age_counts AS (
SELECT
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) = 17)
END AS "17_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 18 AND 26)
END AS "18-26_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 27 AND 30)
END AS "27-30_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 31 AND 35)
END AS "31-35_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 36 AND 40)
END AS "36-40_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 41 AND 45)
END AS "41-45_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 46 AND 50)
END AS "46-50_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) >= 51)
END AS "51+_year_count"
FROM public.recruits r
JOIN public.recruits_info ri ON ri.recruit_id = r.id
WHERE r.vu_current_info->>'isMilitaryRegistered' = 'true'
AND r.current_recruitment_id IS NOT NULL
AND (
'${VK_ARRAY}' IS NULL
OR '${VK_ARRAY}' = ''
OR r.target_recruitment_id = ANY (
string_to_array(
trim(both '{}' FROM replace('${VK_ARRAY}', ' ', '')), ','
)::uuid[]
)
)
)
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",
'${REG_ID}' AS recruitment_id,
'ALL' AS gender,
'true' AS registered
FROM age_counts, total_count;</sql>
<variables_active>Y</variables_active>
<attributes/>
<GUI>
<xloc>432</xloc>
<yloc>192</yloc>
</GUI>
</transform>
<transform>
<name>Table input (person_registry) регион/все 2</name>
<type>TableInput</type>
<description/>
<distribute>Y</distribute>
<custom_distribution/>
<copies>1</copies>
<partitioning>
<method>none</method>
<schema_name/>
</partitioning>
<connection>ervu_person_registry</connection>
<execute_each_row>N</execute_each_row>
<limit>0</limit>
<sql>WITH total_count AS (
SELECT
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*)
END AS total
FROM public.recruits r
JOIN public.recruits_info ri ON ri.recruit_id = r.id
WHERE r.vu_current_info->>'isMilitaryRegistered' = 'false'
AND r.current_recruitment_id IS NOT NULL
AND (
'${VK_ARRAY}' IS NULL
OR '${VK_ARRAY}' = ''
OR r.target_recruitment_id = ANY (
string_to_array(
trim(both '{}' FROM replace('${VK_ARRAY}', ' ', '')), ','
)::uuid[]
)
)
),
age_counts AS (
SELECT
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) = 17)
END AS "17_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 18 AND 26)
END AS "18-26_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 27 AND 30)
END AS "27-30_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 31 AND 35)
END AS "31-35_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 36 AND 40)
END AS "36-40_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 41 AND 45)
END AS "41-45_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 46 AND 50)
END AS "46-50_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) >= 51)
END 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 (
'${VK_ARRAY}' IS NULL
OR '${VK_ARRAY}' = ''
OR r.target_recruitment_id = ANY (
string_to_array(
trim(both '{}' FROM replace('${VK_ARRAY}', ' ', '')), ','
)::uuid[]
)
)
)
SELECT
age_counts."17_year_count",
ROUND((age_counts."17_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "17_year_percent",
age_counts."18-26_year_count",
ROUND((age_counts."18-26_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "18-26_year_percent",
age_counts."27-30_year_count",
ROUND((age_counts."27-30_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "27-30_year_percent",
age_counts."31-35_year_count",
ROUND((age_counts."31-35_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "31-35_year_percent",
age_counts."36-40_year_count",
ROUND((age_counts."36-40_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "36-40_year_percent",
age_counts."41-45_year_count",
ROUND((age_counts."41-45_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "41-45_year_percent",
age_counts."46-50_year_count",
ROUND((age_counts."46-50_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "46-50_year_percent",
age_counts."51+_year_count",
ROUND((age_counts."51+_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "51+_year_percent",
'${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>416</xloc>
<yloc>736</yloc>
</GUI>
</transform>
<transform>
<name>Table input (person_registry) регион/женщины</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
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*)
END 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.gender = 'FEMALE'
AND (
'${VK_ARRAY}' IS NULL
OR '${VK_ARRAY}' = ''
OR r.target_recruitment_id = ANY (
string_to_array(
trim(both '{}' FROM replace('${VK_ARRAY}', ' ', '')), ','
)::uuid[]
)
)
),
age_counts AS (
SELECT
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) = 17)
END AS "17_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 18 AND 26)
END AS "18-26_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 27 AND 30)
END AS "27-30_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 31 AND 35)
END AS "31-35_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 36 AND 40)
END AS "36-40_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 41 AND 45)
END AS "41-45_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 46 AND 50)
END AS "46-50_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) >= 51)
END AS "51+_year_count"
FROM public.recruits r
JOIN public.recruits_info ri ON ri.recruit_id = r.id
WHERE r.vu_current_info->>'isMilitaryRegistered' = 'true'
AND r.gender = 'FEMALE'
AND r.current_recruitment_id IS NOT NULL
AND (
'${VK_ARRAY}' IS NULL
OR '${VK_ARRAY}' = ''
OR r.target_recruitment_id = ANY (
string_to_array(
trim(both '{}' FROM replace('${VK_ARRAY}', ' ', '')), ','
)::uuid[]
)
)
)
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",
'${REG_ID}' AS recruitment_id,
'W' AS gender,
'true' AS registered
FROM age_counts, total_count;</sql>
<variables_active>Y</variables_active>
<attributes/>
<GUI>
<xloc>416</xloc>
<yloc>512</yloc>
</GUI>
</transform>
<transform>
<name>Table input (person_registry) регион/женщины 2</name>
<type>TableInput</type>
<description/>
<distribute>Y</distribute>
<custom_distribution/>
<copies>1</copies>
<partitioning>
<method>none</method>
<schema_name/>
</partitioning>
<connection>ervu_person_registry</connection>
<execute_each_row>N</execute_each_row>
<limit>0</limit>
<sql>WITH total_count AS (
SELECT
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*)
END AS total
FROM public.recruits r
JOIN public.recruits_info ri ON ri.recruit_id = r.id
WHERE r.vu_current_info->>'isMilitaryRegistered' = 'false'
AND r.current_recruitment_id IS NOT NULL
AND r.gender = 'FEMALE'
AND (
'${VK_ARRAY}' IS NULL
OR '${VK_ARRAY}' = ''
OR r.target_recruitment_id = ANY (
string_to_array(
trim(both '{}' FROM replace('${VK_ARRAY}', ' ', '')), ','
)::uuid[]
)
)
),
age_counts AS (
SELECT
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) = 17)
END AS "17_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 18 AND 26)
END AS "18-26_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 27 AND 30)
END AS "27-30_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 31 AND 35)
END AS "31-35_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 36 AND 40)
END AS "36-40_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 41 AND 45)
END AS "41-45_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 46 AND 50)
END AS "46-50_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) >= 51)
END 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.gender = 'FEMALE'
AND r.current_recruitment_id IS NOT NULL
AND (
'${VK_ARRAY}' IS NULL
OR '${VK_ARRAY}' = ''
OR r.target_recruitment_id = ANY (
string_to_array(
trim(both '{}' FROM replace('${VK_ARRAY}', ' ', '')), ','
)::uuid[]
)
)
)
SELECT
age_counts."17_year_count",
ROUND((age_counts."17_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "17_year_percent",
age_counts."18-26_year_count",
ROUND((age_counts."18-26_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "18-26_year_percent",
age_counts."27-30_year_count",
ROUND((age_counts."27-30_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "27-30_year_percent",
age_counts."31-35_year_count",
ROUND((age_counts."31-35_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "31-35_year_percent",
age_counts."36-40_year_count",
ROUND((age_counts."36-40_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "36-40_year_percent",
age_counts."41-45_year_count",
ROUND((age_counts."41-45_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "41-45_year_percent",
age_counts."46-50_year_count",
ROUND((age_counts."46-50_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "46-50_year_percent",
age_counts."51+_year_count",
ROUND((age_counts."51+_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "51+_year_percent",
'${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>1056</yloc>
</GUI>
</transform>
<transform>
<name>Table input (person_registry) регион/мужчины</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
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*)
END 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.gender = 'MALE'
AND (
'${VK_ARRAY}' IS NULL
OR '${VK_ARRAY}' = ''
OR r.target_recruitment_id = ANY (
string_to_array(
trim(both '{}' FROM replace('${VK_ARRAY}', ' ', '')), ','
)::uuid[]
)
)
),
age_counts AS (
SELECT
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) = 17)
END AS "17_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 18 AND 26)
END AS "18-26_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 27 AND 30)
END AS "27-30_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 31 AND 35)
END AS "31-35_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 36 AND 40)
END AS "36-40_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 41 AND 45)
END AS "41-45_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 46 AND 50)
END AS "46-50_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) >= 51)
END AS "51+_year_count"
FROM public.recruits r
JOIN public.recruits_info ri ON ri.recruit_id = r.id
WHERE r.vu_current_info->>'isMilitaryRegistered' = 'true'
AND r.gender = 'MALE'
AND r.current_recruitment_id IS NOT NULL
AND (
'${VK_ARRAY}' IS NULL
OR '${VK_ARRAY}' = ''
OR r.target_recruitment_id = ANY (
string_to_array(
trim(both '{}' FROM replace('${VK_ARRAY}', ' ', '')), ','
)::uuid[]
)
)
)
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",
'${REG_ID}' AS recruitment_id,
'M' AS gender,
'true' AS registered
FROM age_counts, total_count;</sql>
<variables_active>Y</variables_active>
<attributes/>
<GUI>
<xloc>432</xloc>
<yloc>352</yloc>
</GUI>
</transform>
<transform>
<name>Table input (person_registry) регион/мужчины 2</name>
<type>TableInput</type>
<description/>
<distribute>Y</distribute>
<custom_distribution/>
<copies>1</copies>
<partitioning>
<method>none</method>
<schema_name/>
</partitioning>
<connection>ervu_person_registry</connection>
<execute_each_row>N</execute_each_row>
<limit>0</limit>
<sql>WITH total_count AS (
SELECT
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*)
END AS total
FROM public.recruits r
JOIN public.recruits_info ri ON ri.recruit_id = r.id
WHERE r.vu_current_info->>'isMilitaryRegistered' = 'false'
AND r.current_recruitment_id IS NOT NULL
AND r.gender = 'MALE'
AND (
'${VK_ARRAY}' IS NULL
OR '${VK_ARRAY}' = ''
OR r.target_recruitment_id = ANY (
string_to_array(
trim(both '{}' FROM replace('${VK_ARRAY}', ' ', '')), ','
)::uuid[]
)
)
),
age_counts AS (
SELECT
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) = 17)
END AS "17_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 18 AND 26)
END AS "18-26_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 27 AND 30)
END AS "27-30_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 31 AND 35)
END AS "31-35_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 36 AND 40)
END AS "36-40_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 41 AND 45)
END AS "41-45_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) BETWEEN 46 AND 50)
END AS "46-50_year_count",
CASE
WHEN '${VK_ARRAY}' IS NULL OR '${VK_ARRAY}' = '' THEN 0
ELSE COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM AGE(birth_date)) >= 51)
END 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.gender = 'MALE'
AND r.current_recruitment_id IS NOT NULL
AND (
'${VK_ARRAY}' IS NULL
OR '${VK_ARRAY}' = ''
OR r.target_recruitment_id = ANY (
string_to_array(
trim(both '{}' FROM replace('${VK_ARRAY}', ' ', '')), ','
)::uuid[]
)
)
)
SELECT
age_counts."17_year_count",
ROUND((age_counts."17_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "17_year_percent",
age_counts."18-26_year_count",
ROUND((age_counts."18-26_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "18-26_year_percent",
age_counts."27-30_year_count",
ROUND((age_counts."27-30_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "27-30_year_percent",
age_counts."31-35_year_count",
ROUND((age_counts."31-35_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "31-35_year_percent",
age_counts."36-40_year_count",
ROUND((age_counts."36-40_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "36-40_year_percent",
age_counts."41-45_year_count",
ROUND((age_counts."41-45_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "41-45_year_percent",
age_counts."46-50_year_count",
ROUND((age_counts."46-50_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "46-50_year_percent",
age_counts."51+_year_count",
ROUND((age_counts."51+_year_count" * 100.0) / NULLIF(total_count.total, 0), 2) AS "51+_year_percent",
'${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>416</xloc>
<yloc>896</yloc>
</GUI>
</transform>
<transform_error_handling>
</transform_error_handling>
<attributes/>
</pipeline>