micord/ervu-dashboard-etl
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

свежая версия со стенда

Browse source
This commit is contained in:
Булат Хайруллин 2025-04-07 20:31:30 +03:00
parent d288a7519e
commit 13aeb606dc
280 changed files with 75366 additions and 20884 deletions
Download patch file Download diff file Expand all files Collapse all files

919
mappings/country/total_registered.driver_license.hpl
View file

@ -21,36 +21,11 @@
<notepads>
</notepads>
<order>
<hop>
<from>Table input (person_registry) РФ/женщины</from>
<to>Insert / update (total_registered.driver_license) 2 2 2</to>
<enabled>N</enabled>
</hop>
<hop>
<from>Table input (person_registry) РФ/мужчины</from>
<to>Insert / update (total_registered.driver_license) 2 2</to>
<enabled>N</enabled>
</hop>
<hop>
<from>Table input (person_registry) РФ/все</from>
<to>Insert / update (total_registered.driver_license) 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>Table input (person_registry) РФ/все</from>
<to>Get variables 2 2</to>
@ -62,529 +37,40 @@
<enabled>Y</enabled>
</hop>
<hop>
<from>Table input (person_registry) РФ/мужчины</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.driver_license) 2 2</to>
<enabled>Y</enabled>
</hop>
<hop>
<from>Table input (person_registry) РФ/женщины</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.driver_license) 2 2 2</to>
<from>Execute SQL script</from>
<to>Table input (person_registry) РФ/все</to>
<enabled>Y</enabled>
</hop>
</order>
<transform>
<name>Insert / update (total_registered.driver_license) 2</name>
<type>InsertUpdate</type>
<name>Execute SQL script</name>
<type>ExecSql</type>
<description/>
<distribute>Y</distribute>
<distribute>N</distribute>
<custom_distribution/>
<copies>1</copies>
<partitioning>
<method>none</method>
<schema_name/>
</partitioning>
<commit>100</commit>
<arguments>
</arguments>
<connection>ervu-dashboard</connection>
<lookup>
<key>
<condition>=</condition>
<field>recruitment_id</field>
<name>REG_ID</name>
<name2/>
</key>
<key>
<condition>=</condition>
<field>"all_M_W"</field>
<name>gender</name>
<name2/>
</key>
<schema>total_registered</schema>
<table>driver_license</table>
<value>
<name>"A"</name>
<rename>a</rename>
<update>Y</update>
</value>
<value>
<name>"B"</name>
<rename>b</rename>
<update>Y</update>
</value>
<value>
<name>"C"</name>
<rename>c</rename>
<update>Y</update>
</value>
<value>
<name>"D"</name>
<rename>d</rename>
<update>Y</update>
</value>
<value>
<name>"E"</name>
<rename>e</rename>
<update>Y</update>
</value>
<value>
<name>nope</name>
<rename>nope</rename>
<update>Y</update>
</value>
<value>
<name>"A_repcent"</name>
<rename>a_percent</rename>
<update>Y</update>
</value>
<value>
<name>"B_repcent"</name>
<rename>b_percent</rename>
<update>Y</update>
</value>
<value>
<name>"C_repcent"</name>
<rename>c_percent</rename>
<update>Y</update>
</value>
<value>
<name>"D_repcent"</name>
<rename>d_percent</rename>
<update>Y</update>
</value>
<value>
<name>"E_repcent"</name>
<rename>e_percent</rename>
<update>Y</update>
</value>
<value>
<name>"all_M_W"</name>
<rename>gender</rename>
<update>N</update>
</value>
<value>
<name>nope_repcent</name>
<rename>nope_percent</rename>
<update>Y</update>
</value>
<value>
<name>recruitment_id</name>
<rename>recruitment_id</rename>
<update>N</update>
</value>
</lookup>
<update_bypassed>Y</update_bypassed>
<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.driver_license
WHERE recording_date = current_date
AND schema = 'Ministry'
AND recruitment_id = '${REG_ID}'</sql>
<attributes/>
<GUI>
<xloc>1104</xloc>
<yloc>128</yloc>
</GUI>
</transform>
<transform>
<name>Insert / update (total_registered.driver_license) 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>
<name2/>
</key>
<key>
<condition>=</condition>
<field>"all_M_W"</field>
<name>gender</name>
<name2/>
</key>
<schema>total_registered</schema>
<table>driver_license</table>
<value>
<name>"A"</name>
<rename>a</rename>
<update>Y</update>
</value>
<value>
<name>"B"</name>
<rename>b</rename>
<update>Y</update>
</value>
<value>
<name>"C"</name>
<rename>c</rename>
<update>Y</update>
</value>
<value>
<name>"D"</name>
<rename>d</rename>
<update>Y</update>
</value>
<value>
<name>"E"</name>
<rename>e</rename>
<update>Y</update>
</value>
<value>
<name>nope</name>
<rename>nope</rename>
<update>Y</update>
</value>
<value>
<name>"A_repcent"</name>
<rename>a_percent</rename>
<update>Y</update>
</value>
<value>
<name>"B_repcent"</name>
<rename>b_percent</rename>
<update>Y</update>
</value>
<value>
<name>"C_repcent"</name>
<rename>c_percent</rename>
<update>Y</update>
</value>
<value>
<name>"D_repcent"</name>
<rename>d_percent</rename>
<update>Y</update>
</value>
<value>
<name>"E_repcent"</name>
<rename>e_percent</rename>
<update>Y</update>
</value>
<value>
<name>nope_repcent</name>
<rename>nope_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>
</lookup>
<update_bypassed>Y</update_bypassed>
<attributes/>
<GUI>
<xloc>1104</xloc>
<yloc>256</yloc>
</GUI>
</transform>
<transform>
<name>Insert / update (total_registered.driver_license) 2 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>
<name2/>
</key>
<key>
<condition>=</condition>
<field>"all_M_W"</field>
<name>gender</name>
<name2/>
</key>
<schema>total_registered</schema>
<table>driver_license</table>
<value>
<name>"A"</name>
<rename>a</rename>
<update>Y</update>
</value>
<value>
<name>"B"</name>
<rename>b</rename>
<update>Y</update>
</value>
<value>
<name>"C"</name>
<rename>c</rename>
<update>Y</update>
</value>
<value>
<name>"D"</name>
<rename>d</rename>
<update>Y</update>
</value>
<value>
<name>"E"</name>
<rename>e</rename>
<update>Y</update>
</value>
<value>
<name>nope</name>
<rename>nope</rename>
<update>Y</update>
</value>
<value>
<name>"A_repcent"</name>
<rename>a_percent</rename>
<update>Y</update>
</value>
<value>
<name>"B_repcent"</name>
<rename>b_percent</rename>
<update>Y</update>
</value>
<value>
<name>"C_repcent"</name>
<rename>c_percent</rename>
<update>Y</update>
</value>
<value>
<name>"D_repcent"</name>
<rename>d_percent</rename>
<update>Y</update>
</value>
<value>
<name>"E_repcent"</name>
<rename>e_percent</rename>
<update>Y</update>
</value>
<value>
<name>nope_repcent</name>
<rename>nope_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>
</lookup>
<update_bypassed>Y</update_bypassed>
<attributes/>
<GUI>
<xloc>1104</xloc>
<xloc>608</xloc>
<yloc>400</yloc>
</GUI>
</transform>
<transform>
<name>Table input (person_registry) РФ/все</name>
<type>TableInput</type>
<description/>
<distribute>Y</distribute>
<custom_distribution/>
<copies>1</copies>
<partitioning>
<method>none</method>
<schema_name/>
</partitioning>
<connection>postgres.person_registry</connection>
<execute_each_row>N</execute_each_row>
<limit>0</limit>
<sql>WITH categorized AS (
SELECT
r.id,
r.gender,
-- Проверяем наличие хотя бы одной категории, используем DISTINCT для уникальных рекрутов
MAX(CASE WHEN cat->>'kategoriya' like '%A%' THEN 1 ELSE 0 END) AS has_A,
MAX(CASE WHEN cat->>'kategoriya' like '%B%' THEN 1 ELSE 0 END) AS has_B,
MAX(CASE WHEN cat->>'kategoriya' like '%C%' THEN 1 ELSE 0 END) AS has_C,
MAX(CASE WHEN cat->>'kategoriya' like '%D%' THEN 1 ELSE 0 END) AS has_D,
MAX(CASE WHEN cat->>'kategoriya' like '%E%' THEN 1 ELSE 0 END) AS has_E
FROM public.recruits_info ri
JOIN public.recruits r ON ri.recruit_id = r.id
LEFT JOIN jsonb_array_elements(ri.info->'svedVoditUdost'->'voditUdost'->'svedKat') AS cat ON true
WHERE r.vu_current_info->>'isMilitaryRegistered' = 'true'
AND r.current_recruitment_id IS NOT NULL
AND r.target_recruitment_id IS NOT NULL
GROUP BY r.id, r.gender
),
aggregated AS (
SELECT
'ALL' AS gender,
'${REG_ID}' AS recruitment_id,
-- Считаем количество уникальных рекрутов с каждой категорией
COUNT(DISTINCT r.id) FILTER (WHERE has_A > 0) AS a,
COUNT(DISTINCT r.id) FILTER (WHERE has_B > 0) AS b,
COUNT(DISTINCT r.id) FILTER (WHERE has_C > 0) AS c,
COUNT(DISTINCT r.id) FILTER (WHERE has_D > 0) AS d,
COUNT(DISTINCT r.id) FILTER (WHERE has_E > 0) AS e,
COUNT(DISTINCT r.id) FILTER (WHERE has_A = 0 AND has_B = 0 AND has_C = 0 AND has_D = 0 AND has_E = 0) AS nope,
COUNT(DISTINCT r.id) AS total
FROM categorized r
)
SELECT *,
ROUND((a * 100.0) / NULLIF(total, 0), 2) AS a_percent,
ROUND((b * 100.0) / NULLIF(total, 0), 2) AS b_percent,
ROUND((c * 100.0) / NULLIF(total, 0), 2) AS c_percent,
ROUND((d * 100.0) / NULLIF(total, 0), 2) AS d_percent,
ROUND((e * 100.0) / NULLIF(total, 0), 2) AS e_percent,
ROUND((nope * 100.0) / NULLIF(total, 0), 2) AS nope_percent
FROM aggregated;</sql>
<variables_active>Y</variables_active>
<attributes/>
<GUI>
<xloc>480</xloc>
<yloc>128</yloc>
</GUI>
</transform>
<transform>
<name>Table input (person_registry) РФ/женщины</name>
<type>TableInput</type>
<description/>
<distribute>Y</distribute>
<custom_distribution/>
<copies>1</copies>
<partitioning>
<method>none</method>
<schema_name/>
</partitioning>
<connection>postgres.person_registry</connection>
<execute_each_row>N</execute_each_row>
<limit>0</limit>
<sql>WITH categorized AS (
SELECT
r.id,
r.gender,
-- Проверяем наличие хотя бы одной категории, используем DISTINCT для уникальных рекрутов
MAX(CASE WHEN cat->>'kategoriya' like '%A%' THEN 1 ELSE 0 END) AS has_A,
MAX(CASE WHEN cat->>'kategoriya' like '%B%' THEN 1 ELSE 0 END) AS has_B,
MAX(CASE WHEN cat->>'kategoriya' like '%C%' THEN 1 ELSE 0 END) AS has_C,
MAX(CASE WHEN cat->>'kategoriya' like '%D%' THEN 1 ELSE 0 END) AS has_D,
MAX(CASE WHEN cat->>'kategoriya' like '%E%' THEN 1 ELSE 0 END) AS has_E
FROM public.recruits_info ri
JOIN public.recruits r ON ri.recruit_id = r.id
LEFT JOIN jsonb_array_elements(ri.info->'svedVoditUdost'->'voditUdost'->'svedKat') AS cat ON true
WHERE r.vu_current_info->>'isMilitaryRegistered' = 'true'
AND r.current_recruitment_id IS NOT NULL
AND r.target_recruitment_id IS NOT NULL
AND r.gender = 'FEMALE'
GROUP BY r.id, r.gender
),
aggregated AS (
SELECT
'W' AS gender,
'${REG_ID}' as recruitment_id,
-- Считаем количество уникальных рекрутов с каждой категорией
COUNT(DISTINCT r.id) FILTER (WHERE has_A > 0) AS a,
COUNT(DISTINCT r.id) FILTER (WHERE has_B > 0) AS b,
COUNT(DISTINCT r.id) FILTER (WHERE has_C > 0) AS c,
COUNT(DISTINCT r.id) FILTER (WHERE has_D > 0) AS d,
COUNT(DISTINCT r.id) FILTER (WHERE has_E > 0) AS e,
COUNT(DISTINCT r.id) FILTER (WHERE has_A = 0 AND has_B = 0 AND has_C = 0 AND has_D = 0 AND has_E = 0) AS nope,
COUNT(DISTINCT r.id) AS total
FROM categorized r
)
SELECT *,
ROUND((a * 100.0) / NULLIF(total, 0), 2) AS a_percent,
ROUND((b * 100.0) / NULLIF(total, 0), 2) AS b_percent,
ROUND((c * 100.0) / NULLIF(total, 0), 2) AS c_percent,
ROUND((d * 100.0) / NULLIF(total, 0), 2) AS d_percent,
ROUND((e * 100.0) / NULLIF(total, 0), 2) AS e_percent,
ROUND((nope * 100.0) / NULLIF(total, 0), 2) AS nope_percent
FROM aggregated;</sql>
<variables_active>Y</variables_active>
<attributes/>
<GUI>
<xloc>480</xloc>
<yloc>400</yloc>
</GUI>
</transform>
<transform>
<name>Table input (person_registry) РФ/мужчины</name>
<type>TableInput</type>
<description/>
<distribute>Y</distribute>
<custom_distribution/>
<copies>1</copies>
<partitioning>
<method>none</method>
<schema_name/>
</partitioning>
<connection>postgres.person_registry</connection>
<execute_each_row>N</execute_each_row>
<limit>0</limit>
<sql>WITH categorized AS (
SELECT
r.id,
r.gender,
-- Проверяем наличие хотя бы одной категории, используем DISTINCT для уникальных рекрутов
MAX(CASE WHEN cat->>'kategoriya' like '%A%' THEN 1 ELSE 0 END) AS has_A,
MAX(CASE WHEN cat->>'kategoriya' like '%B%' THEN 1 ELSE 0 END) AS has_B,
MAX(CASE WHEN cat->>'kategoriya' like '%C%' THEN 1 ELSE 0 END) AS has_C,
MAX(CASE WHEN cat->>'kategoriya' like '%D%' THEN 1 ELSE 0 END) AS has_D,
MAX(CASE WHEN cat->>'kategoriya' like '%E%' THEN 1 ELSE 0 END) AS has_E
FROM public.recruits_info ri
JOIN public.recruits r ON ri.recruit_id = r.id
LEFT JOIN jsonb_array_elements(ri.info->'svedVoditUdost'->'voditUdost'->'svedKat') AS cat ON true
WHERE r.vu_current_info->>'isMilitaryRegistered' = 'true'
AND r.current_recruitment_id IS NOT NULL
AND r.target_recruitment_id IS NOT NULL
AND r.gender = 'MALE'
GROUP BY r.id, r.gender
),
aggregated AS (
SELECT
'M' AS gender,
'${REG_ID}' as recruitment_id,
-- Считаем количество уникальных рекрутов с каждой категорией
COUNT(DISTINCT r.id) FILTER (WHERE has_A > 0) AS a,
COUNT(DISTINCT r.id) FILTER (WHERE has_B > 0) AS b,
COUNT(DISTINCT r.id) FILTER (WHERE has_C > 0) AS c,
COUNT(DISTINCT r.id) FILTER (WHERE has_D > 0) AS d,
COUNT(DISTINCT r.id) FILTER (WHERE has_E > 0) AS e,
COUNT(DISTINCT r.id) FILTER (WHERE has_A = 0 AND has_B = 0 AND has_C = 0 AND has_D = 0 AND has_E = 0) AS nope,
COUNT(DISTINCT r.id) AS total
FROM categorized r
)
SELECT *,
ROUND((a * 100.0) / NULLIF(total, 0), 2) AS a_percent,
ROUND((b * 100.0) / NULLIF(total, 0), 2) AS b_percent,
ROUND((c * 100.0) / NULLIF(total, 0), 2) AS c_percent,
ROUND((d * 100.0) / NULLIF(total, 0), 2) AS d_percent,
ROUND((e * 100.0) / NULLIF(total, 0), 2) AS e_percent,
ROUND((nope * 100.0) / NULLIF(total, 0), 2) AS nope_percent
FROM aggregated;</sql>
<variables_active>Y</variables_active>
<attributes/>
<GUI>
<xloc>480</xloc>
<yloc>256</yloc>
</GUI>
</transform>
<transform>
<name>Get variables 2 2</name>
<type>GetVariable</type>
@ -614,8 +100,137 @@ FROM aggregated;</sql>
</fields>
<attributes/>
<GUI>
<xloc>688</xloc>
<yloc>192</yloc>
<xloc>1104</xloc>
<yloc>400</yloc>
</GUI>
</transform>
<transform>
<name>Insert / update (total_registered.driver_license) 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>schema</field>
<name>schema</name>
</key>
<key>
<condition>=</condition>
<field>convicts</field>
<name>convicts</name>
</key>
<schema>total_registered</schema>
<table>driver_license</table>
<value>
<name>"A"</name>
<rename>a</rename>
<update>Y</update>
</value>
<value>
<name>"B"</name>
<rename>b</rename>
<update>Y</update>
</value>
<value>
<name>"C"</name>
<rename>c</rename>
<update>Y</update>
</value>
<value>
<name>"D"</name>
<rename>d</rename>
<update>Y</update>
</value>
<value>
<name>"E"</name>
<rename>e</rename>
<update>Y</update>
</value>
<value>
<name>nope</name>
<rename>nope</rename>
<update>Y</update>
</value>
<value>
<name>"A_repcent"</name>
<rename>a_percent</rename>
<update>Y</update>
</value>
<value>
<name>"B_repcent"</name>
<rename>b_percent</rename>
<update>Y</update>
</value>
<value>
<name>"C_repcent"</name>
<rename>c_percent</rename>
<update>Y</update>
</value>
<value>
<name>"D_repcent"</name>
<rename>d_percent</rename>
<update>Y</update>
</value>
<value>
<name>"E_repcent"</name>
<rename>e_percent</rename>
<update>Y</update>
</value>
<value>
<name>"all_M_W"</name>
<rename>gender</rename>
<update>N</update>
</value>
<value>
<name>nope_repcent</name>
<rename>nope_percent</rename>
<update>Y</update>
</value>
<value>
<name>recruitment_id</name>
<rename>recruitment_id</rename>
<update>N</update>
</value>
<value>
<name>schema</name>
<rename>schema</rename>
<update>N</update>
</value>
<value>
<name>convicts</name>
<rename>convicts</rename>
<update>N</update>
</value>
<value>
<name>total_count</name>
<rename>total</rename>
<update>Y</update>
</value>
</lookup>
<update_bypassed>Y</update_bypassed>
<attributes/>
<GUI>
<xloc>1584</xloc>
<yloc>400</yloc>
</GUI>
</transform>
<transform>
@ -668,13 +283,13 @@ FROM aggregated;</sql>
</fields>
<attributes/>
<GUI>
<xloc>896</xloc>
<yloc>192</yloc>
<xloc>1312</xloc>
<yloc>400</yloc>
</GUI>
</transform>
<transform>
<name>Get variables 2 2 2</name>
<type>GetVariable</type>
<name>Table input (person_registry) РФ/все</name>
<type>TableInput</type>
<description/>
<distribute>Y</distribute>
<custom_distribution/>
@ -683,167 +298,79 @@ FROM aggregated;</sql>
<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>
<connection>ervu-dashboard</connection>
<execute_each_row>N</execute_each_row>
<limit>0</limit>
<sql>SELECT
COALESCE(SUM(total_count), 0) total,
COALESCE(SUM("A"), 0) a,
COALESCE(SUM("B"), 0) b,
COALESCE(SUM("C"), 0) c,
COALESCE(SUM("D"), 0) d,
COALESCE(SUM("E"), 0) e,
COALESCE(SUM(nope), 0) nope,
COALESCE(
CASE
WHEN SUM(total_count) > 0
THEN ROUND((SUM("A") / SUM(total_count) * 100), 2)
ELSE 0
END,
0
) a_percent,
COALESCE(
CASE
WHEN SUM(total_count) > 0
THEN ROUND((SUM("B") / SUM(total_count) * 100), 2)
ELSE 0
END,
0
) b_percent,
COALESCE(
CASE
WHEN SUM(total_count) > 0
THEN ROUND((SUM("C") / SUM(total_count) * 100), 2)
ELSE 0
END,
0
) c_percent,
COALESCE(
CASE
WHEN SUM(total_count) > 0
THEN ROUND((SUM("D") / SUM(total_count) * 100), 2)
ELSE 0
END,
0
) d_percent,
COALESCE(
CASE
WHEN SUM(total_count) > 0
THEN ROUND((SUM("E") / SUM(total_count) * 100), 2)
ELSE 0
END,
0
) e_percent, -- нет такой категории
COALESCE(
CASE
WHEN SUM(total_count) > 0
THEN ROUND((SUM(nope) / SUM(total_count) * 100), 2)
ELSE 0
END,
0
) nope_percent,
'${REG_ID}' AS recruitment_id,
"all_M_W" AS gender,
convicts,
'Ministry' AS schema
FROM total_registered.driver_license
WHERE recruitment_id = ANY ('${VK_ARRAY}')
AND schema = 'Region'
AND recording_date = CURRENT_DATE
GROUP BY "all_M_W", convicts;</sql>
<variables_active>Y</variables_active>
<attributes/>
<GUI>
<xloc>688</xloc>
<yloc>304</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>896</xloc>
<yloc>304</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>688</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>896</xloc>
<yloc>464</yloc>
<xloc>864</xloc>
<yloc>400</yloc>
</GUI>
</transform>
<transform_error_handling>