Symfony Profiler

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

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 = '0931477806' LIMIT 1;

SELECT
  NEXTVAL('recluta_id_seq')

SELECT NEXTVAL('recluta_id_seq');

"COMMIT"

"COMMIT";

INSERT INTO recluta (
  id, identificacion, nombres, apellido_paterno,
  apellido_materno, telefono, telefono_emergencias,
  email, fecha_registro, fecha_nacimiento,
  sexo, estado_civil, estatura, edad,
  lugar_string, edad_string, pais_nacimiento,
  foto_cedula, localizacion_nacimiento,
  foto, certif_covid
)
VALUES
  (
    ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?,
    ?, ?, ?, ?, ?
  )

INSERT INTO recluta (id, identificacion, nombres, apellido_paterno, apellido_materno, telefono, telefono_emergencias, email, fecha_registro, fecha_nacimiento, sexo, estado_civil, estatura, edad, lugar_string, edad_string, pais_nacimiento, foto_cedula, localizacion_nacimiento, foto, certif_covid) VALUES (190270, '0931477806', 'ZAMBRANO SUAREZ SANDY PAOLA', NULL, NULL, NULL, NULL, NULL, '2024-12-15 13:44:53', '1993-04-25 13:44:53', 'Femenino', 'SOLTERO', NULL, '31', 'GUAYAS/GUAYAQUIL/BOLIVAR (SAGRARIO)', '31 años 4 meses 27 días', 'ECUATORIANA', 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', NULL, NULL, NULL);

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) = ?

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) = 'BOLIVAR (SAGRARIO)' AND UPPER(n3_.valor) = 'GUAYAQUIL';

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

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;

INSERT INTO recluta_proceso (
  id, fecha_registro, pais_residencia,
  calle_principal_residencia, calle_secundaria_residencia,
  num_casa, referencias, geometria,
  fecha_consulta_antecedentes, resultados_antecedentes,
  fecha_consulta_estudios, resultados_estudios,
  idoneo, fecha_resultado, fecha_asignacion,
  causa_rechazo, observaciones, volver_presentarse,
  intentos, fecha_intento1, fecha_intento2,
  fecha_intento3, turno, fecha_baja,
  certificado_vacunacion_ok, talla_uniforme,
  talla_jockey, talla_calzado, talla_camiseta,
  estudio, proceso, base_movilizacion,
  centro_movilizacion, unidad_militar,
  recluta, localizacion_residencia,
  unidad_militar_inicial
)
VALUES
  (
    ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?,
    ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?,
    ?, ?, ?, ?, ?, ?
  )

INSERT INTO recluta_proceso (id, fecha_registro, pais_residencia, calle_principal_residencia, calle_secundaria_residencia, num_casa, referencias, geometria, fecha_consulta_antecedentes, resultados_antecedentes, fecha_consulta_estudios, resultados_estudios, idoneo, fecha_resultado, fecha_asignacion, causa_rechazo, observaciones, volver_presentarse, intentos, fecha_intento1, fecha_intento2, fecha_intento3, turno, fecha_baja, certificado_vacunacion_ok, talla_uniforme, talla_jockey, talla_calzado, talla_camiseta, estudio, proceso, base_movilizacion, centro_movilizacion, unidad_militar, recluta, localizacion_residencia, unidad_militar_inicial) VALUES (230700, '2024-12-15 13:44:53', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 0, '2024-12-15 13:44:53', NULL, 'EDAD', NULL, 'PROXIMO', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 47, NULL, NULL, NULL, 190270, NULL, NULL);

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

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 = 190270 AND t0.proceso = 47 LIMIT 1;

"START TRANSACTION"

"START TRANSACTION";

SELECT
  NEXTVAL('recluta_proceso_id_seq')

SELECT NEXTVAL('recluta_proceso_id_seq');