Query Metrics
12
Database Queries
9
Different statements
181.70 ms
Query time
0
Invalid entities
Grouped Statements
Time▼ | Count | Info |
---|---|---|
133.38 ms (73.41%) |
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:
[
"2200521082"
]
|
29.78 ms (16.39%) |
1 |
"COMMIT"
Parameters:
[] |
4.27 ms (2.35%) |
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:
[] |
3.46 ms (1.91%) |
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:
[ 60812 "NUNCA" ] |
3.26 ms (1.80%) |
1 |
UPDATE recluta SET edad = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "21" 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" 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3.08 ms (1.70%) |
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:
[ "BAEZA" "QUIJOS" ] |
2.58 ms (1.42%) |
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:
[
60812
]
|
1.16 ms (0.64%) |
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:
[ 60812 47 ] |
0.71 ms (0.39%) |
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. |