Query Metrics
12
Database Queries
9
Different statements
138.92 ms
Query time
0
Invalid entities
Queries
#▲ | Time | Info |
---|---|---|
1 | 2.77 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 | 40.82 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:
[
"2450691551"
]
|
3 | 3.08 ms |
SELECT r0_.id AS id_0, r0_.fecha_registro AS fecha_registro_1, r0_.pais_residencia AS pais_residencia_2, r0_.calle_principal_residencia AS calle_principal_residencia_3, r0_.calle_secundaria_residencia AS calle_secundaria_residencia_4, r0_.num_casa AS num_casa_5, r0_.referencias AS referencias_6, r0_.geometria AS geometria_7, r0_.fecha_consulta_antecedentes AS fecha_consulta_antecedentes_8, r0_.resultados_antecedentes AS resultados_antecedentes_9, r0_.fecha_consulta_estudios AS fecha_consulta_estudios_10, r0_.resultados_estudios AS resultados_estudios_11, r0_.idoneo AS idoneo_12, r0_.fecha_resultado AS fecha_resultado_13, r0_.fecha_asignacion AS fecha_asignacion_14, r0_.causa_rechazo AS causa_rechazo_15, r0_.observaciones AS observaciones_16, r0_.volver_presentarse AS volver_presentarse_17, r0_.intentos AS intentos_18, r0_.fecha_intento1 AS fecha_intento1_19, r0_.fecha_intento2 AS fecha_intento2_20, r0_.fecha_intento3 AS fecha_intento3_21, r0_.turno AS turno_22, r0_.fecha_baja AS fecha_baja_23, r0_.certificado_vacunacion_ok AS certificado_vacunacion_ok_24, r0_.talla_uniforme AS talla_uniforme_25, r0_.talla_jockey AS talla_jockey_26, r0_.talla_calzado AS talla_calzado_27, r0_.talla_camiseta AS talla_camiseta_28, r0_.estudio AS estudio_29, r0_.proceso AS proceso_30, r0_.base_movilizacion AS base_movilizacion_31, r0_.centro_movilizacion AS centro_movilizacion_32, r0_.unidad_militar AS unidad_militar_33, r0_.recluta AS recluta_34, r0_.localizacion_residencia AS localizacion_residencia_35, r0_.unidad_militar_inicial AS unidad_militar_inicial_36 FROM recluta_proceso r0_ LEFT JOIN recluta r1_ ON r0_.recluta = r1_.id WHERE r1_.id = ? AND r0_.idoneo = false AND r0_.volver_presentarse = ?
Parameters:
[ 146090 "NUNCA" ] |
4 | 2.65 ms |
SELECT r0_.id AS id_0, r0_.fecha_registro AS fecha_registro_1, r0_.pais_residencia AS pais_residencia_2, r0_.calle_principal_residencia AS calle_principal_residencia_3, r0_.calle_secundaria_residencia AS calle_secundaria_residencia_4, r0_.num_casa AS num_casa_5, r0_.referencias AS referencias_6, r0_.geometria AS geometria_7, r0_.fecha_consulta_antecedentes AS fecha_consulta_antecedentes_8, r0_.resultados_antecedentes AS resultados_antecedentes_9, r0_.fecha_consulta_estudios AS fecha_consulta_estudios_10, r0_.resultados_estudios AS resultados_estudios_11, r0_.idoneo AS idoneo_12, r0_.fecha_resultado AS fecha_resultado_13, r0_.fecha_asignacion AS fecha_asignacion_14, r0_.causa_rechazo AS causa_rechazo_15, r0_.observaciones AS observaciones_16, r0_.volver_presentarse AS volver_presentarse_17, r0_.intentos AS intentos_18, r0_.fecha_intento1 AS fecha_intento1_19, r0_.fecha_intento2 AS fecha_intento2_20, r0_.fecha_intento3 AS fecha_intento3_21, r0_.turno AS turno_22, r0_.fecha_baja AS fecha_baja_23, r0_.certificado_vacunacion_ok AS certificado_vacunacion_ok_24, r0_.talla_uniforme AS talla_uniforme_25, r0_.talla_jockey AS talla_jockey_26, r0_.talla_calzado AS talla_calzado_27, r0_.talla_camiseta AS talla_camiseta_28, r0_.estudio AS estudio_29, r0_.proceso AS proceso_30, r0_.base_movilizacion AS base_movilizacion_31, r0_.centro_movilizacion AS centro_movilizacion_32, r0_.unidad_militar AS unidad_militar_33, r0_.recluta AS recluta_34, r0_.localizacion_residencia AS localizacion_residencia_35, r0_.unidad_militar_inicial AS unidad_militar_inicial_36 FROM recluta_proceso r0_ LEFT JOIN proceso_reclutamiento p1_ ON r0_.proceso = p1_.id LEFT JOIN recluta r2_ ON r0_.recluta = r2_.id WHERE r2_.id = ? AND p1_.activo = true
Parameters:
[
146090
]
|
5 | 5.89 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:
[ "SALINAS" "SALINAS" ] |
6 | 36.62 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:
[
"2450691551"
]
|
7 | 0.61 ms |
"START TRANSACTION"
Parameters:
[] |
8 | 9.77 ms |
UPDATE recluta SET edad = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "18" 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" 146090 ] |
9 | 1.33 ms |
"COMMIT"
Parameters:
[] |
10 | 33.32 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:
[
"2450691551"
]
|
11 | 1.01 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:
[] |
12 | 1.04 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:
[ 146090 47 ] |
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\ReclutaProceso | No errors. |
App\Entity\BaseMovilizacion | No errors. |
App\Entity\CentroMovilizacion | No errors. |
App\Entity\UnidadMilitar | No errors. |
App\Entity\NmclNivelLocalizacion | No errors. |
App\Entity\NmclLocalizacion | No errors. |