Query Metrics
16
Database Queries
9
Different statements
127.57 ms
Query time
0
Invalid entities
Queries
#▲ | Time | Info |
---|---|---|
1 | 3.42 ms |
SELECT p0_.id AS id_0, p0_.anno AS anno_1, p0_.llamada AS llamada_2, p0_.fecha_inicio_registro AS fecha_inicio_registro_3, p0_.fecha_fin_registro AS fecha_fin_registro_4, p0_.fecha_acuartelamiento AS fecha_acuartelamiento_5, p0_.fecha_fin_dias AS fecha_fin_dias_6, p0_.hora_inicio_acuartelamiento AS hora_inicio_acuartelamiento_7, p0_.hora_fin_acuartelamiento AS hora_fin_acuartelamiento_8, p0_.fecha_fin_dias_posteriores AS fecha_fin_dias_posteriores_9, p0_.minutos_test AS minutos_test_10, p0_.bajas_permitidas AS bajas_permitidas_11, p0_.activo AS activo_12, p0_.cant_cursos AS cant_cursos_13, p0_.titulo_reporte_uniforme AS titulo_reporte_uniforme_14, p0_.titulo_reporte_jockey AS titulo_reporte_jockey_15, p0_.titulo_reporte_calzado AS titulo_reporte_calzado_16, p0_.titulo_reporte_camiseta AS titulo_reporte_camiseta_17, p0_.titulo_reporte_estudios AS titulo_reporte_estudios_18, p0_.foto_uniforme AS foto_uniforme_19, p0_.foto_jockey AS foto_jockey_20, p0_.foto_calzado AS foto_calzado_21, p0_.foto_camiseta AS foto_camiseta_22 FROM proceso_reclutamiento p0_ WHERE p0_.activo = true
Parameters:
[] |
2 | 37.50 ms |
SELECT t0.id AS id_1, t0.identificacion AS identificacion_2, t0.nombres AS nombres_3, t0.apellido_paterno AS apellido_paterno_4, t0.apellido_materno AS apellido_materno_5, t0.telefono AS telefono_6, t0.telefono_emergencias AS telefono_emergencias_7, t0.email AS email_8, t0.fecha_registro AS fecha_registro_9, t0.fecha_nacimiento AS fecha_nacimiento_10, t0.sexo AS sexo_11, t0.estado_civil AS estado_civil_12, t0.estatura AS estatura_13, t0.edad AS edad_14, t0.lugar_string AS lugar_string_15, t0.edad_string AS edad_string_16, t0.pais_nacimiento AS pais_nacimiento_17, t0.foto_cedula AS foto_cedula_18, t0.localizacion_nacimiento AS localizacion_nacimiento_19, t0.foto AS foto_20, t0.certif_covid AS certif_covid_21 FROM recluta t0 WHERE t0.identificacion = ? LIMIT 1
Parameters:
[
"0940973878"
]
|
3 | 7.44 ms |
SELECT n0_.id AS id_0, n0_.valor AS valor_1, n0_.nivel_localizacion AS nivel_localizacion_2, n0_.padre AS padre_3 FROM nmcl_dominio_localizacion n0_ LEFT JOIN nmcl_nivel_localizacion n1_ ON n0_.nivel_localizacion = n1_.id LEFT JOIN nmcl_localizacion n2_ ON n1_.localizacion = n2_.id LEFT JOIN nmcl_dominio_localizacion n3_ ON n0_.padre = n3_.id WHERE n2_.id = 1 AND n1_.nivel = 4 AND UPPER(n0_.valor) = ? AND UPPER(n3_.valor) = ?
Parameters:
[ "FEBRES CORDERO" "GUAYAQUIL" ] |
4 | 1.28 ms |
SELECT t0.id AS id_1, t0.valor AS valor_2, t0.nivel_localizacion AS nivel_localizacion_3, t0.padre AS padre_4 FROM nmcl_dominio_localizacion t0 WHERE t0.id = ?
Parameters:
[
126
]
|
5 | 1.05 ms |
SELECT t0.id AS id_1, t0.valor AS valor_2, t0.nivel_localizacion AS nivel_localizacion_3, t0.padre AS padre_4 FROM nmcl_dominio_localizacion t0 WHERE t0.id = ?
Parameters:
[
14
]
|
6 | 0.91 ms |
SELECT t0.id AS id_1, t0.valor AS valor_2, t0.nivel_localizacion AS nivel_localizacion_3, t0.padre AS padre_4 FROM nmcl_dominio_localizacion t0 WHERE t0.id = ?
Parameters:
[
1
]
|
7 | 34.09 ms |
SELECT t0.id AS id_1, t0.identificacion AS identificacion_2, t0.nombres AS nombres_3, t0.apellido_paterno AS apellido_paterno_4, t0.apellido_materno AS apellido_materno_5, t0.telefono AS telefono_6, t0.telefono_emergencias AS telefono_emergencias_7, t0.email AS email_8, t0.fecha_registro AS fecha_registro_9, t0.fecha_nacimiento AS fecha_nacimiento_10, t0.sexo AS sexo_11, t0.estado_civil AS estado_civil_12, t0.estatura AS estatura_13, t0.edad AS edad_14, t0.lugar_string AS lugar_string_15, t0.edad_string AS edad_string_16, t0.pais_nacimiento AS pais_nacimiento_17, t0.foto_cedula AS foto_cedula_18, t0.localizacion_nacimiento AS localizacion_nacimiento_19, t0.foto AS foto_20, t0.certif_covid AS certif_covid_21 FROM recluta t0 WHERE t0.identificacion = ? LIMIT 1
Parameters:
[
"0940973878"
]
|
8 | 0.76 ms |
"START TRANSACTION"
Parameters:
[] |
9 | 3.10 ms |
UPDATE recluta SET edad = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "31" "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" 190263 ] |
10 | 1.23 ms |
"COMMIT"
Parameters:
[] |
11 | 31.04 ms |
SELECT t0.id AS id_1, t0.identificacion AS identificacion_2, t0.nombres AS nombres_3, t0.apellido_paterno AS apellido_paterno_4, t0.apellido_materno AS apellido_materno_5, t0.telefono AS telefono_6, t0.telefono_emergencias AS telefono_emergencias_7, t0.email AS email_8, t0.fecha_registro AS fecha_registro_9, t0.fecha_nacimiento AS fecha_nacimiento_10, t0.sexo AS sexo_11, t0.estado_civil AS estado_civil_12, t0.estatura AS estatura_13, t0.edad AS edad_14, t0.lugar_string AS lugar_string_15, t0.edad_string AS edad_string_16, t0.pais_nacimiento AS pais_nacimiento_17, t0.foto_cedula AS foto_cedula_18, t0.localizacion_nacimiento AS localizacion_nacimiento_19, t0.foto AS foto_20, t0.certif_covid AS certif_covid_21 FROM recluta t0 WHERE t0.identificacion = ? LIMIT 1
Parameters:
[
"0940973878"
]
|
12 | 0.96 ms |
SELECT p0_.id AS id_0, p0_.anno AS anno_1, p0_.llamada AS llamada_2, p0_.fecha_inicio_registro AS fecha_inicio_registro_3, p0_.fecha_fin_registro AS fecha_fin_registro_4, p0_.fecha_acuartelamiento AS fecha_acuartelamiento_5, p0_.fecha_fin_dias AS fecha_fin_dias_6, p0_.hora_inicio_acuartelamiento AS hora_inicio_acuartelamiento_7, p0_.hora_fin_acuartelamiento AS hora_fin_acuartelamiento_8, p0_.fecha_fin_dias_posteriores AS fecha_fin_dias_posteriores_9, p0_.minutos_test AS minutos_test_10, p0_.bajas_permitidas AS bajas_permitidas_11, p0_.activo AS activo_12, p0_.cant_cursos AS cant_cursos_13, p0_.titulo_reporte_uniforme AS titulo_reporte_uniforme_14, p0_.titulo_reporte_jockey AS titulo_reporte_jockey_15, p0_.titulo_reporte_calzado AS titulo_reporte_calzado_16, p0_.titulo_reporte_camiseta AS titulo_reporte_camiseta_17, p0_.titulo_reporte_estudios AS titulo_reporte_estudios_18, p0_.foto_uniforme AS foto_uniforme_19, p0_.foto_jockey AS foto_jockey_20, p0_.foto_calzado AS foto_calzado_21, p0_.foto_camiseta AS foto_camiseta_22 FROM proceso_reclutamiento p0_ WHERE p0_.activo = true
Parameters:
[] |
13 | 2.09 ms |
SELECT t0.id AS id_1, t0.fecha_registro AS fecha_registro_2, t0.pais_residencia AS pais_residencia_3, t0.calle_principal_residencia AS calle_principal_residencia_4, t0.calle_secundaria_residencia AS calle_secundaria_residencia_5, t0.num_casa AS num_casa_6, t0.referencias AS referencias_7, t0.geometria AS geometria_8, t0.fecha_consulta_antecedentes AS fecha_consulta_antecedentes_9, t0.resultados_antecedentes AS resultados_antecedentes_10, t0.fecha_consulta_estudios AS fecha_consulta_estudios_11, t0.resultados_estudios AS resultados_estudios_12, t0.idoneo AS idoneo_13, t0.fecha_resultado AS fecha_resultado_14, t0.fecha_asignacion AS fecha_asignacion_15, t0.causa_rechazo AS causa_rechazo_16, t0.observaciones AS observaciones_17, t0.volver_presentarse AS volver_presentarse_18, t0.intentos AS intentos_19, t0.fecha_intento1 AS fecha_intento1_20, t0.fecha_intento2 AS fecha_intento2_21, t0.fecha_intento3 AS fecha_intento3_22, t0.turno AS turno_23, t0.fecha_baja AS fecha_baja_24, t0.certificado_vacunacion_ok AS certificado_vacunacion_ok_25, t0.talla_uniforme AS talla_uniforme_26, t0.talla_jockey AS talla_jockey_27, t0.talla_calzado AS talla_calzado_28, t0.talla_camiseta AS talla_camiseta_29, t0.estudio AS estudio_30, t0.proceso AS proceso_31, t0.base_movilizacion AS base_movilizacion_32, t0.centro_movilizacion AS centro_movilizacion_33, t0.unidad_militar AS unidad_militar_34, t0.recluta AS recluta_35, t0.localizacion_residencia AS localizacion_residencia_36, t0.unidad_militar_inicial AS unidad_militar_inicial_37 FROM recluta_proceso t0 WHERE t0.recluta = ? AND t0.proceso = ? LIMIT 1
Parameters:
[ 190263 47 ] |
14 | 0.60 ms |
"START TRANSACTION"
Parameters:
[] |
15 | 1.24 ms |
UPDATE recluta_proceso SET fecha_resultado = ? WHERE id = ?
Parameters:
[ "2024-11-19 12:33:20" 230689 ] |
16 | 0.86 ms |
"COMMIT"
Parameters:
[] |
Database Connections
Name | Service |
---|---|
default | doctrine.dbal.default_connection |
Entity Managers
Name | Service |
---|---|
default | doctrine.orm.default_entity_manager |
Second Level Cache
Second Level Cache is not enabled.
Entities Mapping
Class | Mapping errors |
---|---|
App\Entity\ProcesoReclutamiento | No errors. |
App\Entity\Adjunto | No errors. |
App\Entity\Curso | No errors. |
App\Entity\Recluta | No errors. |
App\Entity\NmclDominioLocalizacion | No errors. |
App\Entity\NmclNivelLocalizacion | No errors. |
App\Entity\NmclLocalizacion | No errors. |
App\Entity\ReclutaProceso | No errors. |
App\Entity\BaseMovilizacion | No errors. |
App\Entity\CentroMovilizacion | No errors. |
App\Entity\UnidadMilitar | No errors. |
App\Entity\CentroInstruccion | No errors. |
App\Entity\SeguridadUsuario | No errors. |
App\Entity\NmclCargo | No errors. |
App\Entity\NmclGrado | No errors. |