Query Metrics
15
Database Queries
10
Different statements
147.66 ms
Query time
0
Invalid entities
Queries
#▲ | Time | Info |
---|---|---|
1 | 3.15 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 | 47.18 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:
[
"0504244260"
]
|
3 | 2.09 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:
[ 108641 "NUNCA" ] |
4 | 1.57 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:
[
108641
]
|
5 | 6.13 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:
[ "ZUMBAHUA" "PUJILI" ] |
6 | 1.17 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:
[
79
]
|
7 | 1.02 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:
[
10
]
|
8 | 0.99 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:
[
2
]
|
9 | 41.01 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:
[
"0504244260"
]
|
10 | 0.62 ms |
"START TRANSACTION"
Parameters:
[] |
11 | 2.76 ms |
UPDATE recluta SET edad = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "20" 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" 108641 ] |
12 | 1.29 ms |
"COMMIT"
Parameters:
[] |
13 | 36.08 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:
[
"0504244260"
]
|
14 | 1.30 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:
[] |
15 | 1.29 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:
[ 108641 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. |