Query Metrics
12
Database Queries
7
Different statements
52.08 ms
Query time
1
Invalid entities
Grouped Statements
Time▼ | Count | Info |
---|---|---|
35.15 ms (67.48%) |
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.instruccion AS instruccion_19, t0.localizacion_nacimiento AS localizacion_nacimiento_20, t0.foto AS foto_21, t0.certif_covid AS certif_covid_22, t0.grado AS grado_23, t0.fuerza AS fuerza_24, t0.arma AS arma_25 FROM reservistas t0 WHERE t0.identificacion = ? LIMIT 1
Parameters:
[
"1722011598"
]
|
6.41 ms (12.31%) |
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:
[ "PUJILI" "PUJILI" ] |
3.03 ms (5.83%) |
3 |
SELECT p0_.id AS id_0, p0_.fecha_inicio_registro AS fecha_inicio_registro_1, p0_.fecha_fin_registro AS fecha_fin_registro_2, p0_.anno_desde AS anno_desde_3, p0_.anno_hasta AS anno_hasta_4, p0_.activo AS activo_5 FROM proceso_registro_reservistas p0_ WHERE p0_.activo = true
Parameters:
[] |
2.98 ms (5.73%) |
1 |
UPDATE reservistas SET edad = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "35" "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" 27838 ] |
2.51 ms (4.81%) |
2 |
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.causa_rechazo AS causa_rechazo_15, t0.observaciones AS observaciones_16, t0.volver_presentarse AS volver_presentarse_17, t0.fecha_baja AS fecha_baja_18, t0.certificado_vacunacion_ok AS certificado_vacunacion_ok_19, t0.disponibilidad AS disponibilidad_20, t0.actividad AS actividad_21, t0.error_registro AS error_registro_22, t0.proceso AS proceso_23, t0.reservista AS reservista_24, t0.localizacion_residencia AS localizacion_residencia_25, t0.centro_movilizacion AS centro_movilizacion_26 FROM reservista_proceso t0 WHERE t0.reservista = ? AND t0.proceso = ? LIMIT 1
Parameters:
[ 27838 9 ] |
1.38 ms (2.66%) |
1 |
"COMMIT"
Parameters:
[] |
0.62 ms (1.19%) |
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\ProcesoRegistroReservistas | No errors. |
App\Entity\Reservista |
|
App\Entity\NmclDominioLocalizacion | No errors. |
App\Entity\Adjunto | No errors. |
App\Entity\NmclGrado | No errors. |
App\Entity\NmclFuerza | No errors. |
App\Entity\NmclArma | No errors. |
App\Entity\ReservistaProceso | No errors. |
App\Entity\CentroMovilizacion | No errors. |
App\Entity\NmclNivelLocalizacion | No errors. |
App\Entity\NmclLocalizacion | No errors. |