Query Metrics
15
Database Queries
10
Different statements
189.45 ms
Query time
0
Invalid entities
Queries
#▲ | Time | Info |
---|---|---|
1 | 3.20 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 | 37.49 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:
[
"0941902132"
]
|
3 | 2.17 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:
[ 147986 "NUNCA" ] |
4 | 2.22 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:
[
147986
]
|
5 | 6.00 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:
[ "CARBO (CONCEPCION)" "GUAYAQUIL" ] |
6 | 1.30 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:
[
126
]
|
7 | 1.21 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:
[
14
]
|
8 | 0.93 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:
[
1
]
|
9 | 29.52 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:
[
"0941902132"
]
|
10 | 0.58 ms |
"START TRANSACTION"
Parameters:
[] |
11 | 16.90 ms |
UPDATE recluta SET edad = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "19" 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" 147986 ] |
12 | 56.56 ms |
"COMMIT"
Parameters:
[] |
13 | 29.57 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:
[
"0941902132"
]
|
14 | 0.85 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 | 0.94 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:
[ 147986 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. |