Query Metrics
15
Database Queries
10
Different statements
149.04 ms
Query time
0
Invalid entities
Queries
#▲ | Time | Info |
---|---|---|
1 | 3.68 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 | 44.70 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:
[
"1450116775"
]
|
3 | 3.25 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:
[ 190029 "NUNCA" ] |
4 | 2.63 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:
[
190029
]
|
5 | 6.17 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 CARLOS DE LIMON" "SAN JUAN BOSCO" ] |
6 | 1.10 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:
[
202
]
|
7 | 0.78 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:
[
19
]
|
8 | 0.70 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:
[
3
]
|
9 | 37.80 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:
[
"1450116775"
]
|
10 | 0.49 ms |
"START TRANSACTION"
Parameters:
[] |
11 | 2.55 ms |
UPDATE recluta SET edad = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "19" 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" 190029 ] |
12 | 7.08 ms |
"COMMIT"
Parameters:
[] |
13 | 35.58 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:
[
"1450116775"
]
|
14 | 1.19 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 | 1.35 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:
[ 190029 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. |