Query Metrics
15
Database Queries
10
Different statements
157.78 ms
Query time
0
Invalid entities
Queries
#▲ | Time | Info |
---|---|---|
1 | 3.17 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 | 40.77 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:
[
"0250161601"
]
|
3 | 3.54 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:
[ 189920 "NUNCA" ] |
4 | 2.69 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:
[
189920
]
|
5 | 5.76 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:
[ "GABRIEL IGNACIO VEINTIMILLA" "GUARANDA" ] |
6 | 1.27 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:
[
50
]
|
7 | 1.03 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:
[
6
]
|
8 | 0.67 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 | 40.46 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:
[
"0250161601"
]
|
10 | 0.66 ms |
"START TRANSACTION"
Parameters:
[] |
11 | 2.87 ms |
UPDATE recluta SET edad = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "19" 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" 189920 ] |
12 | 17.92 ms |
"COMMIT"
Parameters:
[] |
13 | 34.27 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:
[
"0250161601"
]
|
14 | 1.37 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 | 1.33 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:
[ 189920 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. |