Query Metrics
12
Database Queries
9
Different statements
151.66 ms
Query time
0
Invalid entities
Queries
#▲ | Time | Info |
---|---|---|
1 | 3.35 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 | 38.93 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:
[
"1004420434"
]
|
3 | 2.14 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:
[ 188159 "NUNCA" ] |
4 | 1.56 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:
[
188159
]
|
5 | 6.58 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:
[ "SAN BLAS" "QUITO" ] |
6 | 33.56 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:
[
"1004420434"
]
|
7 | 0.49 ms |
"START TRANSACTION"
Parameters:
[] |
8 | 2.72 ms |
UPDATE recluta SET edad = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "18" "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" 188159 ] |
9 | 27.65 ms |
"COMMIT"
Parameters:
[] |
10 | 32.02 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:
[
"1004420434"
]
|
11 | 1.29 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:
[] |
12 | 1.39 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:
[ 188159 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. |