Query Metrics
15
Database Queries
10
Different statements
148.98 ms
Query time
0
Invalid entities
Grouped Statements
Time▼ | Count | Info |
---|---|---|
112.94 ms (75.81%) |
3 |
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:
[
"1755309984"
]
|
12.13 ms (8.14%) |
1 |
"COMMIT"
Parameters:
[] |
5.90 ms (3.96%) |
1 |
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:
[ "CHIMBACALLE" "QUITO" ] |
4.35 ms (2.92%) |
2 |
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:
[] |
3.42 ms (2.30%) |
1 |
UPDATE recluta SET edad = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "21" 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" 165284 ] |
3.15 ms (2.12%) |
1 |
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:
[ 165284 "NUNCA" ] |
2.70 ms (1.81%) |
3 |
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:
[
229
]
|
2.43 ms (1.63%) |
1 |
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:
[
165284
]
|
1.24 ms (0.83%) |
1 |
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:
[ 165284 47 ] |
0.72 ms (0.49%) |
1 |
"START TRANSACTION"
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. |