ervu-dashboard-etl/mappings/country/total_registered.marital_status.hpl

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<?xml version="1.0" encoding="UTF-8"?>
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<pipeline>
<info>
<name>total_registered.marital_status</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>
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<hop>
<from>Get variables 2 2</from>
<to>Select values 2 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Table input (person_registry) РФ/все</from>
<to>Get variables 2 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Select values 2 2</from>
<to>Insert / update (total_registered.marital_status) </to>
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<enabled>Y</enabled>
</hop>
<hop>
<from>Execute SQL script</from>
<to>Table input (person_registry) РФ/все</to>
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<enabled>Y</enabled>
</hop>
</order>
<transform>
<name>Execute SQL script</name>
<type>ExecSql</type>
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<description/>
<distribute>N</distribute>
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<custom_distribution/>
<copies>1</copies>
<partitioning>
<method>none</method>
<schema_name/>
</partitioning>
<arguments>
</arguments>
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<connection>ervu-dashboard</connection>
<execute_each_row>N</execute_each_row>
<quoteString>N</quoteString>
<replace_variables>Y</replace_variables>
<set_params>N</set_params>
<single_statement>N</single_statement>
<sql>DELETE FROM total_registered.marital_status
WHERE recording_date = current_date
AND schema = 'Ministry'
AND recruitment_id = '${REG_ID}'</sql>
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<attributes/>
<GUI>
<xloc>352</xloc>
<yloc>272</yloc>
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</GUI>
</transform>
<transform>
<name>Get variables 2 2</name>
<type>GetVariable</type>
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<description/>
<distribute>Y</distribute>
<custom_distribution/>
<copies>1</copies>
<partitioning>
<method>none</method>
<schema_name/>
</partitioning>
<fields>
<field>
<length>-1</length>
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<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>
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<attributes/>
<GUI>
<xloc>880</xloc>
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<yloc>272</yloc>
</GUI>
</transform>
<transform>
<name>Insert / update (total_registered.marital_status) </name>
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<type>InsertUpdate</type>
<description/>
<distribute>Y</distribute>
<custom_distribution/>
<copies>1</copies>
<partitioning>
<method>none</method>
<schema_name/>
</partitioning>
<commit>100</commit>
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<connection>ervu-dashboard</connection>
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<lookup>
<key>
<condition>=</condition>
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<field>recruitment_id</field>
<name>REG_ID</name>
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</key>
<key>
<condition>=</condition>
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<field>"all_M_W"</field>
<name>gender</name>
</key>
<key>
<condition>=</condition>
<field>schema</field>
<name>schema</name>
</key>
<key>
<condition>=</condition>
<field>convicts</field>
<name>convicts</name>
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</key>
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<schema>total_registered</schema>
<table>marital_status</table>
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<value>
<name>married</name>
<rename>married</rename>
<update>Y</update>
</value>
<value>
<name>not_married</name>
<rename>not_married</rename>
<update>Y</update>
</value>
<value>
<name>married_percent</name>
<rename>married_percent</rename>
<update>Y</update>
</value>
<value>
<name>not_married_percent</name>
<rename>not_married_percent</rename>
<update>Y</update>
</value>
<value>
<name>"all_M_W"</name>
<rename>gender</rename>
<update>N</update>
</value>
<value>
<name>recruitment_id</name>
<rename>recruitment_id</rename>
<update>N</update>
</value>
<value>
<name>marital_status</name>
<rename>total</rename>
<update>Y</update>
</value>
<value>
<name>schema</name>
<rename>schema</rename>
<update>N</update>
</value>
<value>
<name>convicts</name>
<rename>convicts</rename>
<update>N</update>
</value>
<value>
<name>other</name>
<rename>other</rename>
<update>Y</update>
</value>
<value>
<name>other_percent</name>
<rename>other_percent</rename>
<update>Y</update>
</value>
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</lookup>
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<update_bypassed>Y</update_bypassed>
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<attributes/>
<GUI>
<xloc>1392</xloc>
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<yloc>272</yloc>
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</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>1088</xloc>
<yloc>272</yloc>
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</GUI>
</transform>
<transform>
<name>Table input (person_registry) РФ/все</name>
<type>TableInput</type>
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<description/>
<distribute>Y</distribute>
<custom_distribution/>
<copies>1</copies>
<partitioning>
<method>none</method>
<schema_name/>
</partitioning>
<connection>ervu-dashboard</connection>
<execute_each_row>N</execute_each_row>
<limit>0</limit>
<sql>SELECT
COALESCE(SUM(married), 0) married,
COALESCE(SUM(not_married), 0) not_married,
COALESCE(SUM(other), 0) other,
COALESCE(
CASE
WHEN SUM(marital_status) > 0
THEN ROUND((SUM(married) / SUM(marital_status) * 100), 2)
ELSE 0
END,
0
) married_percent,
COALESCE(
CASE
WHEN SUM(marital_status) > 0
THEN ROUND((SUM(not_married) / SUM(marital_status) * 100), 2)
ELSE 0
END,
0
) not_married_percent,
COALESCE(
CASE
WHEN SUM(marital_status) > 0
THEN ROUND((SUM(other) / SUM(marital_status) * 100), 2)
ELSE 0
END,
0
) other_percent,
COALESCE(SUM(marital_status), 0) total,
'${REG_ID}' AS recruitment_id,
"all_M_W" AS gender,
convicts,
'Ministry' AS schema
FROM total_registered.marital_status
WHERE recruitment_id = ANY ('${VK_ARRAY}')
AND schema = 'Region'
AND recording_date = CURRENT_DATE
GROUP BY "all_M_W", convicts;</sql>
<variables_active>Y</variables_active>
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<attributes/>
<GUI>
<xloc>608</xloc>
<yloc>272</yloc>
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</GUI>
</transform>
<transform_error_handling>
</transform_error_handling>
<attributes/>
</pipeline>