Query Metrics
15
Database Queries
10
Different statements
127.37 ms
Query time
0
Invalid entities
Queries
#▲ | Time | Info |
---|---|---|
1 | 3.29 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 | 36.21 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:
[
"0951174838"
]
|
3 | 2.30 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:
[ 171272 "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:
[
171272
]
|
5 | 6.29 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:
[ "BOLIVAR (SAGRARIO)" "GUAYAQUIL" ] |
6 | 35.27 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:
[
"0951174838"
]
|
7 | 0.62 ms |
"START TRANSACTION"
Parameters:
[] |
8 | 3.14 ms |
UPDATE recluta SET edad = ?, edad_string = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "18" "18 años 1 meses 24 días" 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" 171272 ] |
9 | 1.82 ms |
"COMMIT"
Parameters:
[] |
10 | 31.98 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:
[
"0951174838"
]
|
11 | 1.17 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:
[] |
12 | 0.92 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:
[ 171272 47 ] |
13 | 0.60 ms |
"START TRANSACTION"
Parameters:
[] |
14 | 0.95 ms |
UPDATE recluta_proceso SET idoneo = ? WHERE id = ?
Parameters:
[ 1 204049 ] |
15 | 1.22 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\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. |
App\Entity\CentroInstruccion | No errors. |
App\Entity\SeguridadUsuario | No errors. |
App\Entity\NmclCargo | No errors. |
App\Entity\NmclGrado | No errors. |