Query Metrics
12
Database Queries
9
Different statements
178.93 ms
Query time
0
Invalid entities
Grouped Statements
Time▼ | Count | Info |
---|---|---|
117.35 ms (65.58%) |
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.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:
[
"2101193734"
]
|
37.22 ms (20.80%) |
1 |
"COMMIT"
Parameters:
[] |
7.85 ms (4.39%) |
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:
[ "NUEVA LOJA" "LAGO AGRIO" ] |
4.54 ms (2.54%) |
1 |
UPDATE recluta SET edad = ?, edad_string = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "20" "20 años 0 meses 5 días" 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54QubuGBNX2KlxbbUCxuMAHZ5wWQk5OAOMZU/AtzpslrKYpo2HfaV6Vbs7h4n5PmKSSGzyBx/jXu5fl1GLVZauN7bbvr/AF3PDxM3b2bVr7n7o+KNFm8Z6NYvpENnf28uovNBAzFSUFzcCdz827yyZIclT74Xiqmki38LIijQ7W5YO8l61mpuIJbXapkjUtuJXY1tOrO2DvZcqflPyn+wr+0Ffa/4Zg8GRxxRaxoMLyW+otIryvprMysgViqkQvNvIZsYVCcKhx94aD8PLHS3sLqUfvYQZ3s4GxZrcMWYuqYGSu4opPIVUHUZr351XCla++3/AATzaVOPtV7TZb/5foYFjf62z3CRzfZLmIx2S3FwweQQsVNrIzAOkpkbejN82wvuAHz7uw0vwjDYatPfSyrdM0gnh3QqjRSmPy5X3LjPmAKSMAZGcem5BFHBBHFCixRIoVEQAKoHAAA6Cn15Cj1Z69XFua5acVHpp20+f47ad2yiiiqOAZur5B/a3+NK/DX4oQWHi3Wdftfh7eeHVEFr4O1a3tNXg1Z55gt1tE8c7RLCjD598BcJlWYcfXlfOv7TnxTtPCuoz6Fa+LNSg1k6M2qXPhy0gAH2CEyyy3kUqXVjN5o8gqUiu2JjV/8AR2BZ1AR6f8I/to+EngGDVrP+z9TGhWIvLP7Itp5Ev2dPMTyVVRFtO5dgUBegAxivMf2z/jf/AMKT+Der39s9xFq+osdK02W1cJJBPJE5Ew54CY35Hfbnrkeo/DXSbzQPhz4O0+/0qHR76y0SztpdMt5TJFayLAqNCrl3LKrDaCXYkDO5utfnX/wVD+JD6t8RNL8GxuXGiwfap3xwZJ1U8H0CKDx/fx2FZTlyps0px55JHxJeX+1VVX9l9T7+3Has+H97MXPEEIyx+lVTckzOzcgKAK0NI02S/mtoEw24q747sx+Vf05rlvyK7PV+KSSO8+D3gCX4geJfnytrHteXcvSMHG32Jr758EeHbbQLZIra3jhVBhUj+6OfSvIfgh4Fj8L+GrZiuJ5VDzMTnJOSB+ANe06ZI2NpGRzkCvj8TiHWqvsj6OjT9nTS6no2iXapC6HKAkqpB7fSt+PynlMhkO3aBjAOf14ri9Pla2i3ZwCAf8K2be7uHBLP157VvTqe7YwnG7uX7+4TY6xtvOD8y88mudvSDMjhSrY5J7nuatTXB80li5HZARk9qrTE+XgKFJxwxzUOabNIxsjE1W5UswIaT+EAL04rmL5JOCsgT1Vutdlf2DOg+Ubs+vSuVvbN4yDIR5nt0rkq7msNDldTkYwkBA45BxXM3eli6t5B5a554xxiupuAxzjgMeahlt8L8vTuKiLsatHyv8WPhwkV4Z7OEBeA4jBIVuOv1yK8UuLRrWUR4HyjBHr14/SvtvxfaI0Lr34NfKPxE05bDUnZVCKxJxnjg19tlONi4qjUVvO/bX8dj5bMcNJP2kX/AFsaPwS+KGpfCP4i6D4r0uaYf2feRTNb27FWniDqZIGPo67h+Oe1fvR4c13T/FOiWWr6Vdx32mXsSz29zCQUdGAKkEex/Sv52LUmO4DnlWG3A4xX6w/8ExPilHrvws1DwHeSZ1DQbqS5tFVTg2crbuTnkiZ5eOwZa9SdRTm5HmShamvI+1wMZFLTRnJ9KdSOXqFFITzSZNA7jK+dP2rfFviDR2stI0Dw5qXjNtUihjuNG1LwjJrHhuGMXAP2i5eFBMsoxuCo0wAh5hDOklfRdfJP7Qeh63r/AO05pY0Hxbo2mavZeGLSWxtNS1GezmsWfWIlkubaQ2k8Ae4VUs9pyzibayOnyOFI+iPBktxL8PvCxnvbPULhtLthJdaddy3VtcSeQp8yKeVmeSMsAVd2ZmBBJJJNfi/+2N4lXxB+0D47vlZHX+1JYRsycLFiMDPfhCPwr9h9f8YW/hr4Gy+LtPinmsrHQP7Rt1uL4XUrRrCsihrgPKJWKgZkDvu5bc2cn8HfHOrT69qV5qFy7S3d9cSXErsclmZiST9STXPV1sjtwys3I5eRt0W0HJY9fbvXtvwP8KLda/ZyMhKQMJH4zufFeLaXD514nOFHAr6+/Z78NlLZbh4/vOGyR2Ary8wqezpWXU9PBw558z6H0F4f0uT7JGdu3OMj69q7TSdCkVAD8pJPoai0WK3tLKOW7migjOGDSEKP1rTXxnoMGRHqVpIQf4ZlzXycYSetj3XLzNqz0sQlfN+YHpnFOup44Q6pNsC8BcZB9/auRvviNYfNtvYTz1Ewz/OsS78bwSAYnQ5yc7xTlUklZIFFM7jfGjBt4duuScj8qjOoAuoYg54VQcVyUHiZJYwEcEnoQ1MudaeNl2ybH6glulYqcnuach1tzfxpGx4PYD2rKuZ47lB8gyeOelcBrXxN0/RZJI7u6WKUfwsRk8VxWp/tHaXZBlt7S4uyMclgi/1NdEKdWqzGclHU9ck0pBkbeD3I6UxtISOA4G044B7/AErwG+/aS1O/fbZiK03DaEQh2/Uf0qqPH/i+9cTLPqDpnIYKwH8q6/qM7XbMfrK6I9F8b6FK0LTRoRKAOO2K+X/izoE4DziIkYJIx719J+FfiSutbdP1yLyZznbcsAqn0BGBis74geA01PTrjYi8Iccda3pN0JK5FWKrQZ8SWBE0jWsuUbou71r6y/4JveLLvwr+09ols/7u21q2utJuGlJGB5fnJj0y9ugr5Z8RaYlj4kubJz5DJMQjtxg5rsPCPja7+HXi/wAMa9C5i1GxvIroeW+1iVJ9u68V9VF8yTXU+dkuVOLP37Ugjj3pabHIkyCSNgyOAwKnIIIyP0xT66UeWxNuaNopcmjJqgIODXxV+2Hrlt4P+N+kaxq8V54X0dtM0eIeNLKymndpY9cjuHsssktv8kMMl2F8rzC0CgsyMY3+1cYryv4p+MfGnhnX7f8A4QvRLzxleG1WSfw49oLW2dd7qJU1OQpFC4J+eJvPdwkW2OIGSUyaXscv8btM0nwz+xb4hsNDvBqeg6b4QNtp1+ZVl8+FLUJFJvQAPuUKdyjac56GvxJ1e0Y2NncE4E0ZCAdsHDH9K/cv9p9p9U/Zd+IUstpPp8j+Gby6ktZ2QywMLdnMblGZSRgg7WZeCQSBk/h7qrLceEtMuVUrI4eJj2wpxkfU5NYTV2jooysncpeCrA6rr0EEa5zkY/X+hr9DfBmkW/g/wZHdmJiIoQ20HJYkAAfnXxb+zdpA1b4lWEDpxtkbH0H/ANev0UurOGx0plEYYRD5Qy9xjBFfMZpP94kfR4GNqdzxXVPDvjDxndG9mEVpanmJbh9qqvbCgE9K43xB4E1q2DLHf2rtxgDfj8PlrpviZ8Zv+EZeWGCNZJy5RUdsAn+lecQ/FrRYImu9futU1sgBnh8PyfZo4iT9xpnR8nv8uAajD+3rL3FZHTVhTp/G9Tl9a8H+Jo5D89vJnJyrEf0rGbTPEtjIdhJwOiODXqlv8Vvh54qv1t44vEOhQyrtR7y6Nzlsd8RAenanXegRSu0lncx39k/MVxGAMj356/lWtR1qPxpGdL2c9YyOn+DepXM2gpBdhhIHc4PXrXpMxkZQWHHciuD+Etm0t+bdwQRk89+le26n4YkgskmiXkjJGM18/Nt1G0enF2R89/EjwpL4huI2in8pVyrbvTtXBv4Q0jTo911I9wE5LzPtT8hXs3jaN4JvJQFnYkEYryrxK02keU/lj7U3+rjlO0DJI3H27D34r0aDnNKCZzzjG92jYtZ7bw1p0N59misLaRSyS3DJGOAM5UZfoR/D/wDWr6b8ZfPu1htmtr3bkusDkEAHj74XJ+leX/ELwde6V4ptriIXuu6XcorCbyHdQT1AxwDkjtXqPgvwroV38I59L1DTDcazcPJ9jiNvsktCcgOWK/KAeccH6V7Cw9H2fNKV/meX9ZqupyxieieGPF+jeOIdssBLqxUiRNrKRXeTWi3VoLdOV2+WCeuO1eL/AA1+D1z4au/tJubm5K5+Rm+UZHoOte+aXpz+SpYEdDXj1ZwhLli7o9LdXaPgj9oHw8dL+It7C6hfMPmDJ46CvPPFFpqKfYLtrdzZQAwLdbgys+d2DjpjNfVf7VvgI3XiPR9WRWEUqvFIyrkKRswT+v5V5Hr1p9h0++sJdzQSwkyRn7pZQCrY9eBzX0FLEqNKPc8eWHdSq29j9nPgN4xiv/2dfAniLV763t4h4Zsru9vJnWKKPbbIZXZjgKoIckngAVxOg/treFPGOr6npXhfwn4x8Sapp9rNqUtlZ6dFFO9giwtHdxpPNG0kcy3CGNFBlYcmMZXd5H/wTs8faZqP7H/iD/hK5objw94eub6G8iuozcRjT/IWaRXjwxdMNMNoU5Axg97Pwd1XQ9d8CeHfCusaB4x+Gml69ajRvBnxKu9Tg/tq/tVujcQ2TXSRBrTeAvkwsCkkYZY2bCl/cTurnz8o8raPrbwB4/0H4o+EbDxP4Yv/AO09DvvM+z3XkyRb9kjRt8siqwwysOQOnpXQ15J+yf4p0Xxn+z74Q1Xw74Zh8HaLJFPDbaLBOZ1t1iuJYiTIVUuzFC7Mw3FnJJY5J9bqjIgJxXy1+0Xpthc/GBX8Va74C1Lwhc+GBZf8Id418Vtpey6a4l/4mEMfkyhXEe6JZkCuMuAw28/Up56V4H8fU+C/iTxP/wAI1458Qab4S8ZS6PJLBrMphtLtbCUTW0kaXU8ZiKustwnlMWI3M6qGVXWC07lD4l/bZ/2CdabVbz+0NW/4Vy7XV79qW786Y6cd7+crMJdzbjvDMGzkE5zX476H4ei1PwPM4eZpopWZotuVCgcsOeOv86/Z34u6/H4y/Y58RavZT3l3FqvhB7mKXUUiS5mEtmSrSrEBGHIc7gmFBJwAMV+Qfg3WZ73R7nwzbJEskUhleWNAJHRnyY844AOPc+uAK5MRNwVztwsOeTR2X7Inh6Q/FmGWaPbts5pOQeB8oH86+/bzQDq+nHaN3y8jFfM/7PHgn/hFfiUbeUfv/wCzZFYZ6YdK+yNLjWOJUPVq+QzCqqlRPofTYaHs4cp8j/Er9lh/E11LqJv5rX5yzRBmcEegyeOnauMu/gtGPAE3h8wwWjGXzUvim8g5zhuAT6da+99Q0YXNsQvzEjkE15f4p+G0upu7EiJT1Ktg/pUwxdSForZGzp053utT4u8CfBqfwPrtnquo6/ouowW8hmW0j84s77cDJaMbQCQT64rv/DPgsyeILnUIb1Db3LFn0+3iLRZJ7dAOp5A716g/wXsba4JPmSkngbsCvRPA/wAPItPCO8XlogGFDV0VMXKs7SIhQp0V7py+geFbfStUSZbT7Ovl5K7ea9X1BYZ/DiSDJKkg8e1UdUtl+0u/AO0AAVp3IK+EDtHOSf0FeS5KU5JbHSlZI8D8U6G11rAlRAFWTPAzmqGs+DUF0L5YbV7jZsEtxaJLhc5wNwPeu0ncSTSbhj5umK2be2huIUhYZU9RVUqjgVNI8Jm0jXRI8aOHhY8rGNoI+mK6bw54bvNiK0Cxnv8AL/WvTk8ERtKXgJH+yTXRaP4Rkj++BjvzWntG1uTZRWiOV0fw69v8zRgjuAK3zZRFDtG1lPPGK6S7gg06Atk8D61zt5fI6blyAR0PWuW75hNWVzxj9o+GO28KaZO8SyCK/CnI/hZHz/IV8t/Fh47bQ7vUYFVI5oESNeh3M2CP/HSa+q/2i1lvvBlhZwRebPcXgKg8AAI2T/48K+JP2ib2XTr7RNA83ekFv9olAHHmF3A59lx+de/h4e0qQijiqT9nTlUPsD/gl5450fQvDfxb0rxVJC/h06XDqV1BdRedEbaJJRdbogrF1MbJlQDkLjB6H2nwrdXur/C6TTrP4AeK/iB8Gr+U6np8virxBazalY2RgEWyws2zMixxiQW6rLvYMGWQeYCPi39gDxjpXh342wDxEIH8MXOh6iurrdQGaNrWOzmmkDR4O8ERYKgHIyMHNfWHgvwj4VudR0Oy1+1+KHwu+F3iyWCDwrpFt4se90TV47kqRaTxQq8lo1ysvmFHkIO+f94uzn62m9D5asrSufU37KFr4QtP2ffCCeA7vUr3wqYp5LSXWAou1ZriVpUl2qq7klMifKNvy8Fhhj61Xkv7KHinRfGX7PvhDVfDvhmHwfoskU8NtosE5nW3WK4liJMhVS7MULszDcWckknJPrVanI9yIHFeO/HT42+JPg39r1KLwZZ6l4UtNMe8l12+1s2cZuV8wizCJbzMHdUXY8myNnkWMMHZFb2LpXzH8Zb/AMWN+0rZWPhzxpptkg8O6bcv4c1XWr3TonK63ETMClvJCWn2rZ43eYwnPysvytA1udD8fL21h/ZR1z+zodLtLWfwvN5EWjzCazji+yZQWzhUDxgY2MFUEBTtHSvxi+E1+9p8ZPDkKMvk3WoxQShv4kaRQc1+x37Q11pl7+yl4k1DS7SKw0p/DCfY7O1MJjht2EQjRDCzRFQrY/dsyEZ2kgg1+Hv22fTdfF3bMUubecPE69VYNkEfiK5qsedOPdHbh3y2k+5+jngXQr/w98YBeXmRHNBJEd/bIBH6rX0VFqaxuhzk7goA9a+WfCHxNbxpoVtrlyEaULujuVOMMD8ynHfqK980jWkvobe4Vt0cqLIuOcgjNfBVk4qz6H2UdbM9bsNVjnhUbl9yO1Q38KXm4B0YdnHH6VxMV+Y18yNyXHVd1aunaru+bOSexPSojU6DVPqPOhQrMXaPJHrTb+WOyQ7HKp0I/hH6VLcagwjYhcYB6mvPPHni02MEqqd7AYUDpk1bmoIpU2zYa7a/u9sRyvtzXdzWcknhjyhHgDqSPUV55Y3dl4UsIftsizXA5diwBJPb8KuX/wAXVmtlhjkKxBeFBHWuOMopt9zRxbskczr+izWVztjRiWycmqmi6qgmMbnbKP4SecVV1vx08txGWcKC33mxiqGrXlq17aS2roJWOCV5LDBNVFPqU4nptnOmQ6vg+metaja0I41AwOx5rktPdkhBOd38XFJeXu1GMbFe/Wmp6WJtoamsal5o5cA1zT3itIEzgnOBWde6vukUbznvk1DaXRmlzj+LGf1rWlG7Inscv8SNWQTBJWEaWcEkkrsfljBGST6cCvzx+LHjdPHniqW/iVUtoU+zQbc5dAzNuPvlj+GK/QH4w6X5nw98cXwiElyNKvmVkdcMqQBSpyxbcNzuBtHyxyZztFfmVx5ZGc4PX8a+qy6naUps+exdVuKgj6A/ZBurNPjx4Ei1CNbjT7i+SC6tpI/MjuInBR4nUghkZWZWBBBBOa/Vrx38Lovhx8P9L8FeG/Dc3jLwl4y8axRaxo9/bPc2+j6bdsz3BtVgEf2WKF1V0bpGzFs7iCPxk+Feo32neLNCm0q6jstT+1ItrdTY8uGUsAjtlWyATkjacgYwc1+i/hTxv45A8OaN4l8O/HfUfDmmeFJrC4vdCS4+1ya7Lcl5buO5hkVbiBE+SLzGdQFX5CCzN7dPdnlV9kz7k+EHwt0r4K/DvSfBmiXF5daXpnneTNqDo8zeZM8rbiiqp+aQgYUcAfWuxrhfgfb+OLP4V+H4/iRdw3vjUxPJqMsAjCqzSOyIfLVU3JGURtg27lOCw+Y9zuroOEiLZHpXxx+01fx3H7TPhzT7PTru1vrfQrC91DWNHnjbU7qI6xHHYWdtFc5tV26gbaZ3cAsgI3KFKyfYrE5wMfjXzF+0p4P8UeLPiD5d600Hw/8A+EdWOxux4YTxLFa60b1XaRtPVJHZjaRPGJXTZGJWCsGkIaBx3J/2htAh8KfsaatottBe2tvYeHLWwhg1B4nuY0jEahJWiJjLgfeKErkHBxivxX0vTpNT8ThUGcP5uM+h/wAa/Z34vRah/wAMOxDU7M6dqMPhC1a7tFtVtDFKIYfMj8lVVYtpyNgUBegAxivyB8HQLH4iu7luRCucEZB+bgfyrnm7SPRw65o2PfP2ZdRS88cap4KlkLabLaNcxQgYfz1ZFABPYqTx7V9N+Fxe6LaSadcoI3tW2x7WDq0fRSrAkEcHkelfG37ON+sXxYvNY+1W0FzZWVzNbC8laKKWQw+SAWALZUSO/wAozlfrX1r4++Lmmaf8WPC3haS7W8vdR08XRnYncFaNfLjLZIbmORgcjAcDHGT87jcPzVG0t0e1QrtWiztIdbeF9h/Ctq11YY80sQO/HNcJd3eyUD7yg9etXIdRMalM/N2z1r5eacWe3HU7O511bmHKNuB+7njFczdaE3im5MZZtqkHIPesqx1Fpbh4pWC7TgYOTiu98L3lvZQiU4DnnPrRF8z1HL3VofOHx1svFWian9k+2XEVttV0uLcIc+xyP6Vwuk+LvE8UIF1cLcRxjiSWMK+PfGBX2P4lFr4mjMRhSY8cEZ/nXmfi/wADeH9OsJFutQsbC4I/1M0iAkHgcZ9a9BcrjyxRMZOTPCNe00+NIrebUd1y0BzEocooPqQCM9K734aaHcafdW8jgBE3BUU8D1qBv+EO0yX7N/wkNoLlAAw5CqfTdjFdZo8sNtAHtJ4bmIc7o3DZP4UTU1HVWNPZyV9D1uKdGiDdCBnPvWDqB8kvgfeJOMnmsa18XAARuVB9zUs2prdHG8cc+/NcVupnYr3EjTTAQ43j7wb0rTs4SiBh2xjPpVG3x5m7g+9W9S1S30XRb++uHCW9pA9xIzHgKoyT+QNdlJO+hjV0PkP4y/tPatDq3i3wG+i6VqNhbyz2lpqMySC5tldZI5dp3bSR5j4yB2zuAwPld4cSupAB5PHT/wDVXRa/qr+JvF2t6u4AF9eTXOR/tuW/rWNdRbLwZGNy4r7WjFQikkfL1PevI0dGurmz+y3FpIIbuJ2eGTHCuoBU8+hxX6X/AA48MeC/Fmk6DfeJvhF8XfEHxL1O3tLmTxvpGdkd5NGkkc9vcJdLbRpFvj8ssoWNY1DgbWFfmRazC3slkOcRli2OvTtX61/s4X3hz9qD4TfCa1svFEOleIfCF/pGt3+kTxB7uU6ehh+4XUiOVZIWEw3KNwHLAgdFPdmFdLkTPq74IWnji0+Ffh9PiRdw3vjUxPJqMsAjCqzSOyJ+7VU3JGURto27lOCw+Y9zg1CXYHjp70nmP7V0nnAuRkmvC/HXxB+IXhP4+SLZeG9Y8S/Di18Htf3Npplmhka+F0ynyJGUCacRhP8ARzKuULMoZwqP7p0kZT90fzr5T/bU+D5+JcZkx4quJI7FI9Pt1Fxd+Hhdl5V8yW0skluxcpFJKyy+X5WViR2IJjaBo6X4peIr74gfseyeILtIlv8AWfCC39xb2ysI/NltUlIUEkhQxOMkngcmvx10Ky3yXkhBA81A3/jxIP5Cv2d8Vrpc/wCys8miW8dvow8GPNYwWk0syJB9iHlqjzKkjgKVw0iqxHLKDkD8fliXTtJ1HIJc38in/gPT+YrixDasevgYqVzmNL1LVPD051DRr2fTNRhlJjureRo3XqrfMpBGQcfpUVn441f/AIWJYeJ7zULjULu0kilae4mLuVDD5QTnA7Y6DNbVyI49K1KXGczEfgwBFefCXy0n4+YKM/UkcfpUxtO90bVLxs0fpVomr2/irw3p+r2b5t7yBZkI54IBx+HNFzKwOS2McEA9K+bv2QPiv51tP4N1GTBhUy2LbcbgWJdSfXLAivo+9hAmZux6+9fI4vDunNpo+jwtVVKakSw3ywjLNyOeT196W48apaRgGQqoHODgGsjUJY2jZlzvAxzXn2r6Pc+Ip2tUlMcTHlhxivMhBX1OmZc+I/7TC+GtNez0WU/2rLgCdWVvLXvgc88V5FpunePPGbvqcmnavqJPzmWYN8/fPP516PH8HvC/hyJbq3E09/0Mk0hOMn8qq3/irUtEMn2aeRrcjlFCnkema+lwjw0FaG51YaPOkr2POb3wj4m1Au8mnzWpUkM1wCgP0OOcUzR/EPifwHcb7eVpYf4oFkyDn2INdJP4g1DXmEcjPGp4G7ArofDnh+10/Es2Z7gk9/lArsq1aajaSuXXUYJ3ldjPC/xNvtduiJ9Ou7IZB/fDGR6jivWtCvZL0K24shUHcTXKJp8E4UkYYniug0SJ7UlV+5jFfN1XGUvcVjzY76nc2DAoD90H1ryz9qrx/B4R+E+pWKSsmoawhtIFBA3KSPM/8cLfmPWvSYLlYosscDHU9q+D/wBpT4kP8Q/iHMkatFYaT5lnCpGCxDfM/wCOB+VehgaPtKiv0ODG1PZ03Y82stuydcYIQfyqG+O6COQdjin2KlJGjbqyEZqNP3lk8R+8p5FfVngXshfLEumzKWCAEgue2R1r9B/2Fr34U+PvDPg3w14z8MPpmuwyGXSfEdwBpTXlzFLDFFFb3sUqTTTK0oYRgnHy45RK/Pq22zWNxG3IdQxH8/519w/sFeFtC+Kvwv8AG/gHxLA15poltr61LMFksi4kQzxOASroRHjORhnUhlYqajuZ1VzRuj9KPgJ440H4ifCbQfEPhmPWYtEvBP8AZ11+7kur0bJ5EfzJJJZWb51bGXbC7RwBgegbx7/ma4L4RfDTTfg/8OtH8I6Bc3lxpWnibypNSdGnPmTPKwYqqqcNIQMAcAdetdhif+8n5103PMZcLEN7Hr9a+ZP2kA2ufFC30PUPF2vfCrQR4de7i8cWuvXFhZSagZ2SGyZGdLd2CebMygiZ1VAHRUO76cJBr5x/ac8G67471ObTNE17TdburfRmvLXwDNZaTNcG6DSpFqOb6OQNEHdInX93hfMKyFx5UkDR1ng+wsfEH7L3hmxs4JrfTrzwfbxxR3EyyyxRNYgBXkCoGIBGWCqCcnA6D8i/HGkCxfVImAWZtSu3K7ccAqAB9drflX7V+G7iXWvBOkzXEeoCa902N2XWoEhvdzxqSLiNFCpLyQ6qAA2QABX43ftE2Z0b4p+JdMXiOC/uGjHQjLluff5hXFiFdKx6mXv3pHkNozzJc25YHdhgM9SP/rVyV5GYzMpBUkZOe1dRMhg1Y4+RtoPTHvWZr9uqvKVG5njLjbz9ainfQ9Cqk4mDpmoXGiX9tqFlO0F1bSLJG6HBDA5r9EfBfik+LPDFjevtjuZYg7onTp2r46+C/wADL74marKZ1MOm2Ua3NzIVJ2qTwOOhYAkc9Aa+n/Clo+l6Hb/Y8xCPKoAOAmeBXHmHLGEZSNcBzKTOpvbUyucZ5Pao4rQ20bPjBxgYqC38RwXWVKiOcdUY9/UetXHuFuovkJGO2a+aq0HvHY99SUjltWW4umIjRgOOBXL3GgX0wIS1dk9cV6rpsVszguNxGR9a6eJLCG2wIULEc9K5I1fZu1htM+fLDQZhcbZLVl7D5a6y00m4jCoUOeuMV3N3b2BnLhAhBz1pfNtXTjBat3VcyHC5jadpbRuDIeB2rorNUjIBUY6c1VQDvk4rnPFHi4WCtZWbbrk8F1Odn/1+auEG3dk6dCfxf4jVI20+0frzI4PKj0FeI+Mfgv8AaLaPXIrNrrT7guLiUAfuZM8j9R+ddzbIWPzud2dxLGvcPgRpVt4n8J6vpc8SyhLgt+8XI5UdvoK9vLpr2rj5Hn4qF46nwfq3whu1iWSxWSaMHIwuSMfzri9W8KanYZufskmQdsgQZr9Htc+DsGi3eVgVLOZyU2AjZ7frXO6x8E7K5jDyWqTBuC6DYce5H9a+jcTyvZxkj867QFLra3yoxwSewPH6V9c/8E6fEE+l/GfUtHJlaLVtMmsyqS7OWdcEHBHGQ2SMAKa1dc/ZMsvETOto1vZXSgnf5Zhbaeg2D5W785XrXP8Aw/8AhZ4o+B/xK0LxFPZalHa2lwN95ZxOA0fRkZ1yFDLlck8Ak9qjYydJ2aP148Oaomp6JaXUSrcxSJlXCn8f1yfxrS80/wDPqP8Avk15L4E+JXh2+0Rpd8CqZnKozZ2A4O3kds10X/CfeHf+elt+n+FaXR5Tps9JyB16V82fFVfh9/w0f5+tP4w/4S6PwfAkEOh6k9hbXEEupiCGESQyxS+e9zMiAO4hAZWcrt3L9Ilga+dv2ivFvjTw7480278JaX4J1+50fR7i/hs7rT59S8R2sjrMnmW9vFIri2mkW2t2kTJUyMzgojYsyjuev+B9eTxX8OvDetWkt3dwalpdteRT6ikSXMgkiV1aVY8RhzuBYIAoOcDFfjj+1hE1j8dfFUZXa/8AatzHtUcZEmPf3r9lfCyxWngjR0igjhhj0+FEgtNOksUVRGuFS1fLwjoBE2WThTyK+VbP9guw+JvxN8Q+PfiE91bwXurT3tp4fs3RcRmdmUXEoJyGQL+7UKRk5PapdN1Gkjsw0nCTa2PzLu9B1LU/FFlYafZyXt5PCWWKBd7FfmwfbhT19K9v0L9jbxTHpml3niG1Wz1TUAF07SxMpdsgHfLtJCrjJxnICtnnAr9TtK+E3hbwUZZdJ0Ox0mzI4tLK2SGLPdioGD/P8a1tH8EwvfSapfQI95LhYgVGbePrgdwxz8x4zgDHFdMcNGK1PTUteZnxn4n+FS/s6/s2y2sRU65fW7NJKhysly4O3rj5RnAB7Y75rh7TSPsOlW8SlgYkCEAjoBivrP8Aaf8ACtvr/hW9e9vjZWdkv2vJXcJHQr5cY9NzEflXzhJEv2eNkHysoIH4V8tnUuWUYrY9XBPTmPLvEeiCQGaPKMMlWB5BrAs/FV5osxW7AaMHAdQOfqK9L1SxBdjgj2HSuF1zSEkdiBtPPHrXzlOvKLtc9Nwvsatj4ns73bJC53YORipLzxC+zETc9PWvNbzSTE5wzRv6rwagWTUYSAt1IR23HNay5J6lq60PQI9Rklly7ZzWlFrcFn8zuFA7mvMUuNQkwGuXA9siporYuf3jtJ7tzWaSiDb6I7PVvHTzwNFp3CkENM69PoK5uNS8ztktI3zEn+tNCiNe2e2P6VJaRlSAeBjpnrQ6l9EQo9TRtz5UOF5Ynv3r3T9jq8W7vPEMCjO27ER9/wB1n+R/WvB5m2RZXjHvivef2KNJMGjanqTfN9s1WaZD0AQKI/5o1etlavVZx4vSJ9Eav4e/tLTjBtUlWJGeuea43TtOEF0IJFOw9CTXrMMZeCSQdGc7ePeuM8RaD/Z2qxTxBlhcdFJABOc19pY8aDvoVT4DtrrLKv3TkYJGD7HtWzpmhNbyrkkOo28dCM+vB/MmtjwvbkMzCaRicfK53D8utdF9mTf86FT9Mj86pRuS7rQ4G4+FXhm7uJJ7jR4xPIcuYmKAnAGcKMZwBUf/AAqLwn/0Cf8AyK//AMTXqUNsksYZGQr+f9af9i90/L/69V7OJnyo60oSK8X+NfwLvfiF4u0TxBbaZ4V1yKxiWCbSta062SW6USF/nvZbS7cRDlRDFHG2ZZH84EKte2nONx6etQvdIv3nGenHJqlTXU8+NFJlHw3YSaZoOm2s0AguIbWKOWMXkl5tYIAR9okAkmwc/vHAZupAJNabLkYIOKSJi7fKuQe5FYPi7W/7Ljgt7b59SvpBbW4YErvPTdjoO5PpmtUux0xhrZFclfEniJoAhewtMGWUE7WfHCcdx94+2B3rq9vyliMH19ao6Ro0GgabFYwM8m3LNK/3nY8kn/Pp6VeupUt7V5JTiNFLM3oAMn+VTcp+R84ftm2x1P4Qara2115JtpIdRvCrYIVGJiQ/UqW5/uj1r56tf32mxFRt3Ip29ccV9hfGvwPc+Pfgt420u0iB1bULC5ktkd9p87ymECk9ABhAe3WvjDwZeJqPh61lBP3cENxXxufQacJ9NT2MDJJNEF9bFhyMgegrnNSswd2VBHvXoF9bFlIA4I6VzV/Ztu2gDvxXxtz2k0eaahpKSMdrcejVjy6fsbkZ78CvRb/TG5GwA+orAutNwcbcHnvWimUuxywts9FOccVNHblRg4J9q0ZrGRRgDNENtt47mtL3GUDbhTk889AMU9FOc461dkgUYAGPSpIbUYyR0pJ3JZla1KtrpskjHkDkHpX2f+z/AOCk8IeC9JsUj8mZrWGSVQDzKyDf1/2ufxr5W8JeD1+IPj/RPD8mfJupi0pB/wCWaIztz2yFI+pr9AtN0QQIkoHKY6HtjBr63J6L5ZVGeRi568psw2oS0Re3aotX0sXliUCgsCCDjmteC1LxL3B5qwIMMcdM/wBK+oS1PJvY5PQoTA4QjuK7CGESqobr1rOk0/7NchlHytz9K2LaMbFb0rpSG3zETWKZ+ZEJ9StJ9hj/AOeaf981phI3GSSDS+TH6mmRYvBfNIjA346s3LGnwgLKAOgFFr8kLuerdafDwpYnb3z6UyRbq+j0+ylnlIUAGuF8C3Nx4p8Z6rqs0bC0sU+zW7dUdnwX/FQqj/gZqDxdrj63dfZLNj5S/ISpznmu18G6JHougW0KqFkYGR8DqWOT/QfhS+GPqXL3IebNORdzbugPeobtzNNFAuAud0hx0A6D8SP0qWWTyhgjPpjk1BaMzFyz72Jyf9n2qUjCOwMo3bSNw56+9fFfxE8BweAPidqWlWluYdNvAL22ULhUVx8wHHTzFfH+TX19448UWfgnwjrviO+jmlstHsZ9Qnjt1DSNHFG0jBASAWIU4yQM9xXyp8Vfj7ofjSXRJdR8BeNfAt+LoW1vqfi3RDZW90XBxarLvYeYcb1U4yEYA5wD5WZ4dYjDyj1Wp10Kns5rzMUaQ00RGwnHt1rF1LQNpJ2nPXBHStnSPip4X1Dw74o12eaTR9M8N6jPpd/cXyqo82HbuKBWYsGLqFH3mJwFyQDk+Bfi/wCH/iVf2tkNI1rw7dX0H2rTv7fsRbDU4woZ2t2DMsm1SrEA52sCMgEj83lh6lm0tj3VVjdanOXWjOrEbDtx1rHutD3dU5PTirGo/G/TDq2s6fYeCPGetDS7+bTri50vSVnh86JtrAOsn0ODg4I4Gap+KfirY6Dq2m6X/wAIt4o1DVL3S4tW+xafpolmt4nYriVN4ZWVhhhggEgZqPq9VO1i1iIb3Mq50YpuIViBxjFZsulMh+7j8K6fQ/iF4V8Q+FtW1yS5fSIdHkaPU7XU4/KubJwxULJGCTliMKBnJ+UfMCo5vw18S9H8X63pmmLoeu6NNqkLz6fNqth5UV2qqHPlsGbd8h3Z6Y75IBfsaqv7u25r7enpruVv7OIfp+lOeIhDlcDuKdqXxD8O2Oga/q1201paaNqU2lOsqqJJ7iPGViUMd2c8ZxwCTgAmqnhrxlY+LNYudI/srV9E1GK2F19l1ezNu8sO7YXXBPAbAOcdeM4ONIUqiTdtCfaxbsnue+fsf+AJLvXdX8VS8xRxnTolxxuOx2P1A2/99V9bLZiIqgHbkVyvwG8BP4K+HWl2VxAiXTh7mZwCGZnYlc++wqP+A13UMf2i+lI5CkLmv0vAUfZUIxaPn60+ebJLOIoNm0YBqX7OfNIK7eOM1f8AswBzyCO44+tSPCFdSGLdsk5ruskckmZtxaiS33AcrSWqevSrWvTC00adgwDuViUg93IUf+hE/gabBDtC554HNaopDjDgnGcUnlfX8qt7R70bB6Ggq5PFGWhVfXk1zPi/V5Pl0uy/4+JMMxI4ArY1TVV060mmP3Yxhcd2xwP0rH0fTWt7Z7+5H+mzHA3dQKLdxxVtWReH/D8dqwLZZgRk5796yviB478R+CZ0ksbK0vdPK4IlDBxgDuD9e1d3Y2/lwAkfMeTT9QsYr6MxSKGU9iM1V1ezJ51zankPhz433PifWUhl0GfT4Z1MaztIjHzApfAAY/KQje+a9a0lZHhDOmwMoIUnmuF8eeDLRvDD6Xp6fZbmeVZFmg+WSNsj5lI6cCup8KXt9DYpaavGFvVAUXCA7Z+PvHrhjjkZ78ZqZRsrxKnyte6jmP2iRt+AXxM9/DGp/wDpLJXzf+0N8aPhv+1n8Pv+FWfD/U4fE/jHXb2D7AtxYTW8dj5TebPdNLPGuxVgjmU+XukIfaFbca+05iCKjUbl5657VnbmRg1c/Kq007WPD/grx1fqZ5oPCfxYm1LWrax3NJcWtvLF5oVRw4VtsmGIUCPcSNora1j4wXPj74r+G5PAHjqXxPp7a1ZtN4dh8LHdp1oQIri5N1JFuUfOylvlIE5GQBX2d8TNNTQfGcE8aBYtTi6AYzMh+b81I/KsZZo2GCBu9K+AxtqFaUZRv226/L/I9qjHninF/wBfefEXhf4meG/BXiT4k2GtfEPVfCd2/i/UplsbGwinR0LqvmFmtJSCSpGNw+6OOcnqZbW58Z/HzTpdA8U3thJc/D2O4ttZW1gd5w11lHkiki24bcrlVWM8YBUcV9RXUYkJz0x+NVLazDEcHBNePPER5m4x1at0/wAvzudaoO1m9Pn/AJnxlH4fku/B3iKTU4bjUPGHhzxFbah48inZwuq6fBJO8ZiSQrE8XlEMiYQFYh8v+r3eraT8ZvBXxE8T6NpPhuX/AISC886SZ3+xzp9gjEEuZ9zxADJKxdQf3/Xsfob+zVkC8Y71FLpseCD0onWVRe9H017/AC+7y0FGk4bP8D4SsdO/sbWdU8W6kPN8J6B8QNWOqRZ3+W8qwxW9x5Z+/wCXI3UZdd2VB5x7t8IPEPhj44/FDTNI8NI2swQwyPfaktvLD9kiMkP7rdJGOZQHIAP/ACw6HGR7XLp6Dp2NelfArw20d/qOsSIypsEEBA+VgTlyP++V/WvTwUVjK8VKOq8+n3GFROhBtPc9NuQLK1ZuAfbpWTp08GmafPd3b+VEgaaSQ8gKBk/pWzqEazAKw/dqOaxVhg1m7+wHE0MTB7iNwGBH8KenJByPQV+jRVtjx47HjfxF+N/jOTWraDwZa2kNj97zr6Es8ucbcDdwOvXnpW7oPjj4gX0MMNzommfa+pmZ5Ap/4CG/rXp8Ph+xbVbic28fmKw/hGBwOlbAtlRsgAfSjlT6F88bWSOS0nw1f3l3BqPiK7F1ewHMMVuNkUWfbHP45rqtowOKl2AZpcVRnzXIw+Bil30pjyc0nlGmAP/Z" 122463 ] |
3.98 ms (2.23%) |
2 |
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:
[] |
3.53 ms (1.97%) |
1 |
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:
[ 122463 "NUNCA" ] |
2.62 ms (1.46%) |
1 |
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:
[
122463
]
|
1.20 ms (0.67%) |
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 = ? AND t0.proceso = ? LIMIT 1
Parameters:
[ 122463 47 ] |
0.65 ms (0.36%) |
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\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. |