Need to find a store procedure in a database

  • Hello Experts.

    Ive been trying to find the whole weekend a logic which is creating a xml file of this calculation:
    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

    But no lock. This database is huge!!

    so Ive been reading a lot of store procedures but no lock.

    I run this query also:

    select * from sysobjects
    where name like '%Dutiable%

    but is not working.

    Please help Im super frustrated now due a due date I need to accomplish presenting this logic and I did not have any luck yet.
    Thank you so much

  • I find the free add-on ApexSQL Search useful for finding procedures (or data) in database(s), but you could use the below query as a starter to search stored procedure definitions.

    select objects.name,
         sql_modules.definition
    from sys.sql_modules
         inner join sys.objects
             on sql_modules.object_id = objects.object_id
    where sql_modules.definition like '%Dutiable%'

    Andrew P.

  • It just find one sp I already saw but is not the one Im looking for.
    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

    So I cand find the for Dutiable and is not the one has the logic
    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JHWwYMpVJ1lEp18NIv3Mzr1OysiyNVPiOWP9Vgwn3HWmke37EOwb5X/Rh6oi5Fqgyn7LonhlScLHPxK+tfF4/v2Jzr6cmnwpk+Z3Ntl4ucCz7uail4w7JuzpE3zaaOxW6AbGdj55PyTJl+eMvKB7+8sm8TZ9oQhfKBvCa1xiORfpZzuCbGta9h7zXgDcu653qBRRszyZ1snDQTrTQvVPGyncPatauib6Ne4bQ6vRpFoI/Uge20aUoH3VLqLpfrsauOltSYxnD7wvzKxlGXUJ+zIcclDD5HxOfEfbdYlhK2jRvrHKmTFGX4mHTb6rGRSt/irMaOHAqpc77DCeLYKMMtqCNRby9WvK/hAq4XKNpxyoT1kRrhc7ZsjovcdKLcZLzUFnNzjgf0V5Zdb3VaivMSVyDj3NcwFG3MVC/g+41/ejvNrx0vV3PYMgqLw+sj9fQaqhvZQjuNi7+f2uOipSfUr2xkXQ7Sc/nWM9TnrEUevnGJz5Eyj6xzpMJ+50gKk4pGGU+SLtsF3beihNc6q77MZHnOWS0aaYfUxbQv1zfoC7RoK8rXcImuFyjauOGDv7+PqG0q9x65+5jg5ZIhayihIDwPDWwfqdxN2zyX96fSxYVgn+rVOJh8mQ8Hsh5U5EOYX9nQujTQLVbalukdOdYzzOdsyHHR+PrGlXPB50g9JJIuviz5HGXcOKb7Lw+oJC0XZDv7gZY8ODPsZznIYtJEbGRYoY3FpIXoCBfzYE6Uqtmv3OjSjg4W0752ljgJuyYU48fXcKmuFziVqXTkqWrXILWP6qe7Jyii6ESJ4UCXAFGCleNrGBYtAKVAdxGhZIMwJl6OMuD0ZhbV+qSVTArFr6wwgaIFCpnTanWhMsSacwgykX6ruZekiyjdyTix712v5DK0MGr4VTAH+Dqr5x5BQqSXqLkp7t8tv3rmIvmDoQMAQJEUpnwmDilYtACAfCnewit35MF1KYGiBQBEUPmKNW6gaAEAjFeZ2gKKZdQUrThPyZgIPA6BL9ccSJJyoJPPue6s59uZ82Q51dFl2U54cmK08xXAQG/Em1b6razMNPkkfRxvZnGj5WEaLzJOnIkTkXVB0u35wHHgV5coZPsgwpzthGHyBLU9j3rCos0D+HKNAb5IZV7+UIooxbJ/pRMdF6LUR0ORRiFfPF69ehnNLZdzZE+2N8ibazKTQsS8xSazK+RlCzmGRhEZyQdRWKN1HsTvgDzyl7fx8iGo7Qa/YxYAFC0YU5LymunMgGuWI/fzDbIx3zk+o50vDvTrr6P++fkw5SGWoT2FzfblIG+e5atsg5A6SJnlNCfZ23absGOmKZmi9bUUOJzgeGN5qzCfjKAuokmzy+nnBrbwtna6mxySL5QwH5SeNPhyzQH7PEx15u27BJyjJJ9TCU8Vc3ZTOt20Qc67N48hzIdvUD6zvzau3Ca2TMw2xgdF2P7CrrOC/QmHEDmsoBnZ05W5jccJTN5DDKLcbKWxiEWsOJEaFnllOEj5SU9EFK9pPx8LFznGJizpsm6/Jiyiz0NoN99O80uXsEnL9TyYuvmVmUvbvccsgJIp2mlslRzUTjDMeKzXWmnczvXiiqX4l+EA32CmTS18c7ZLvBZpnOuEhdm0hWizTutrJtquM0blC6L/SXmn2XgAStH+i0wNWYGp9511mjiZ0CnFcGDvIC1a3aecYmyZPERDc+scBxei2NR74On9Hew1LwjEURcpU17H1WVyncjdX9hxCUfOw0wuSp2HocweWtA5quYbU8JDYgnxOTXp5lpu4O6ehDsCGt02qPN4rqWgfGZ/Et9s6spifE4E7o/rWs9tEP8UKg8vD3qus6C6FEouwwqijLuOTLes3gHq7XqZ5rjOX5r43HbRnmJeNpGTwe1Swu2izSxhiCOcKEQhS3lynPl4ueWbSy2sm2/SRMS3gChBG9YvbprUNwddoPwUmDJFpEyTz8Tl0vYISqZoq0XrC3yVHeSDZJRhnYlnfP2ucqPkx6KRlbOxCsQRjk1ze/o8yA2hunY55AsCvlyN1VoCX6686SY+mbf4/doXcY6iKMSHbyHE5U+4GETJ9lITrV52Ebm6eOQ4HRdl61q0vRwqEWJJ2k5pSmC1F4RclrJ/EamLF+s8qBNhnSNfTLopU8RLidpeOkU7jS9I/mUXK3YJK8aD/OuS5PBMjg+FG3uAD4p5GGIk0rtVofkY+HJNW62x+nIt4hyBYGqbmqh2oDdzaOD4yzQyZa7HreEyuqjYh22ijOTXUhCFI9Yi9zB9ke2i7vdiEGtT9s/XkFoWi7RNFLKUZ4u5PvNpewSlexjGlavjSq1l5bqArZslHLWdw5F+V3nb5gOcL997utB8NvDl6k8+vjnlvPPOd8pFyXRezcrVWS3NOSox9hBXLsTuT7ggaqlp2Vw6LpatORe106l2ZC89WTIzViNv2+fSbRbLT0683bMxx8zvjX0ZZsjjPLhlGcJ8+cr15q2LH5Iu2wVdn7m2PQdKqmhncqUP1qhVWsDLTRyelsMFuZF/KWTcy3QvMx6ghVBYvhAflPDlasVbx0UT5JtzM//aG3+7g9ybSdel8HNr5tbaD6+yHlL5EJWvQft5VXVhMQo0MB+3r/T+hJ35sO3tXbSXz5F5+OUozbA0C5mV0FTrjNWqgdi08nWGDli69oiflsIR5SkWk7qhWfi4qS40n2MFHyu3yy2Wn1iDBru7LWV4CfK3y+dBhaVsPg9qXZ8HdWGZMq0hSRdTluQT69MQVKYg25k4EdnWENb2PIFTmTDUwyr4cgWVjmgYYCM/qjLMVRrgVAYAUDaYQdJcpdxJ1xOKtmjgyxWA3LCVpJ/ki18ZYRIXfvsSSVPQ0IENfNMCMN6Ja+ggU7VMZAqyaEW5GgEAAAfbmoOStcHQAQCgSKBYo4CiBQDkiW21QsHmAhQtABMer+KMEpAvULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAzULQAABAziZdeeqmsvx/8iU98Qq8BAMD4JJFi9HrZ8Zvf/AaKFgAw7sHQAQAAxAwULQAAxAwULQAAxMykfr2SST+1JBKUUNLCIU2yk+rtcJnw1FNP6TUAACg/JjW2+KjN/u20qbmP5DlZX/MmWt2ZdKLXttHMvo3UoEJjz8mTJ6mvr48ef/xxHQMAAOXHpLqDz5GjRiNga3b1wQ66pUy07G9/+1vatm0b/epXv6KPfexjOhYAAMqPSTMPDGYr2oZbqONgoxo6aNzUTO0rqx1rtn0lVetNSkHn/f+b/kvN3AyRuFx4+umnaWhoSCnZs88+W8cCAED5EfAwrJpW7k+poYNUaiM1uNZswNhtgay84evUcu1/0yFS6xKXC7Nnz6bzzjtPKdkzzjhDxwIAQPmRqKvrSG3eH2apJqmz/mqizftpZbKFEtsXUWpjA/W3JGj7ohTxatGsufM+Z3nrjWppiHph4b333qMXX3yRTpw4QdOnT9exAABQXkw6MHNa+HBA/1pqm9lOK0s5ZuBBFKxXyebCBz7wATrnnHPw9hgAoKxJ9KVSqWCj1LJmlaKVoYNG2iSrdR00FGoJFw9ewQUAVALwdQAAADGDN8MAACBmoGgBACBm4I8WAABiJvHqq6+WtaIFAIDxDoYOAAAgZqBoAQAgZqBoAQAgZhJr77q/4sZol7Z8Ta8BAMDYU9YvLBTCDzo2QNECAMqKilS0oDDwAwVAPFSkom1bsVSHQK50rO+GogUgJhLntR5wFe2B7vP02vhFFO2y1mt0KI18iUF4/fXX1dLmlVdep0WLrtShicepp54KRQtAjEwS59kilc7Rox+huXPn0oIFCzJk1qxZtO+dt/RWAABQeib98pe/JBHi/6EcW0+z3a8rpGXpLp1eLFL+7PV0TAeLQUZDvGIjVu0v/8BNZtn94gdV2/3yTCQBAMTHpKf+cQa1KoO2R0WEcv7dlLRv0OTddOh7pVGOLiVQuLYCMWJ47rnnKJlMUuqFAzT0/Gv0xrPOnvzyTBQBAMTLpHfeeUetfPCDh9QyL6o+T194+khuX9EdRYKUSQ9b7qJkxYAfGDhK7w4+Qqec8pxK88sTKcP306WnnUanLX/Mih+m+y/luEvvp2F72zIWAEC8TPrZz3bq1QI4dpQOnT/d+cpCxtDCbFqvTdJj62e7wwyzJdJrsWaEj9C6a2+ip5++iap1XFb+HDh58mSWCK3nnafGZVvZhL/uuq8p+WDNFfSNb3yJdiUTtHV4WMkrr7ziW0aWiKKqq6O6gSEaNnHDu+hn+3lnkmZvW8YCZQtAvEyaccXXXKsuElGAWukpqT5Ct+9bQVWsEtdfu5UWJ7WVlFxMW68VRbmL1t30BepXcXcT3bSOY8KYTqt+fDedL0MUqtx88zvY1poRQb7YcPz4cSVi1W7Z/5qKr2NluaT+40oRy3jt4sVr6dVXX/UtJ0NOSrlfoa/U7KBdwzru2BDRtddSHaUcRTwOBAAQL/n5OsgYo03S3ef30A7RfMceoa1PP003VRsFLFbpVnrkWDVN520axBp95Aral+qm+U5JOVJYfq8iERHeffddGhwcVPLmm3vpI797kt6YpK3knh4WZ/7tAw98Qynb1157zbestKjN6bKGGvqXR4dV3O7+QfpKg/MlNbXNcBfNmzyZJiuZR11aIQ93zdNxk2lel5PXL273SpPXkZW79b4zymWZ1+UMVeSxPyMAgHiZdPiRh+idgqY3VdGK21upR2laodWxPF3ZRyuqeJt9Tvj2I9WshJfmZJGmKSy/zCrwinD22WerKV5GZBjBpbWVpZsuueQTdP0Pf6iiRNn6leXKW+/Q+++/Q29N+Qy9v30nHXr957Tj0Dy6YIqOf/0Q3XP9dpr3+DAND7M8Po+2X3+P2u7u26tok4q7jd6//W76uW/c61S/WufV8YfWSn4p93aq2pSOPzfv/aXbIZ9tBwDExyQZo3z//ffZ2vuCjsqD+QuptYe7zVVX0GJj3QpqvJaVolo647Xzu8UCPkRHyfMALXmEntarWfjlz2GY1m8c0iCKRaZ1qeEDXrqINbt0qVLG5533S9a7rHjP8y/Llfel3JP0/plz2dJO0vNPPEb/PPUsOtPEP7+b+p59lu64+Bz1WfRzLr6Dnn22j3Y//xk6+9x/pmaOa9o9l7Ymv0dzTvrF8T6e30RNktfkN+XS31HzHE898tqfzssCAIiXIt0kOl37HbvE8uwn7uProQMZr+VuftUK+rEMraohhWrauvjHbOXOp1V3H1LDAWrb7x2i83VpCjWTQcaCWVH75tfbhZC2qtNi85mTx+n/TTrdCZj5w2zNUne3UsS3XLJVKdnI+bW8CS/4z2fpr+YfpfvuO0pXXTonHS9Luoo2Dg3RkCsP09c/+1n6+sNO+IbhS6m6+jbay2Vkx+2l2y7tp/n/qvP+69/RF025eicZ9ZBlzvtLtwMAEC+TXj2wWa9GwEpvn3pAZeN07bvVwOl86nZvXhk2UBtwtn3uDb1PR9pxqX37nHLd8k05znisX/4oXIvTx2qT6Wyukn3RWSjYmqWldUrRrt29WEdGWLTqYVhKrZ85l2v771Ppyxda8WLpfvFhemyP3v6FH9HiqbfRHrVcTD964SRd2P4o/e0Xj9LwHp84Xk/RVDrrTJP/GP27KZf+gX5oyi1kf7zu5MWsAwDiZtJPfvITEiloHm2ZYhSILVmwku2huvSMC7Zmj9+xi9588026+vMdrqXrV5YrSkHxj4Csn3kNbR5cQxdmxJ9J12xmS7l1Gk2bxnL5Lpr3C96Gt73zVqLvXy7xl9OueXfSNRf6xJ15If3NrUOcXedvZUvblMsbD7nlfl8p4Lz2Z5Q3CwAgXirSe1fjvLk6lOapp96mL30pRb/6VcIZFtCccvg5NZ9WrFnhwDceoOt/eD21ntdNPT099OCD/1PFlzX/p51mPH4xHV79X3VEfpx11ll0/wMPwqkMADFRkZ+yybA6LatNZhPs23evUqBGDFta/o16WruVIhYlayxdv7LGXp6kNTNm0Awjy47Squsu8NkuNwEAxEtFWrTzLr1Qh6J59tlDdO+9T+pQNv/0TzfotcpFZlps6P4xLFoAYqIiFe1lX56tQyAXqqqqoGgBiBF8ygYAAGKm4hQtAACUG4ltP90JRQsAADFStEX7xhtv0Ec/+lEdAmDswTUJyo2KnN4FAADlRNGKFkO8oNzANQnKDVi0AAAQM1C0YGJy7B664IJ70p9U8mHXUsfDXMm+9AwmLBg6ABVHaa7JXbSjx3Fm310doZSN0raVdw6KHEwcoGhBxVGSa/LYEB2eXeN8eLRqOT311HKPi1ALv/SoPGBCkfjT2+8WfFX++Qf+jI6//DJN/uQn6T3l5V8zfC/9VTPRV2vbaNUmJ6r5X96l+y4nevSGD9JCHSeo+CrZ/gjV0kba9AzRrLt+Tl/tvZJWqfVBeuJGvlylTC6Po5jzad3AXrrxHBUAwCXwmhQyriFmVgcd3vMtOifr2vpbeq72SnIu0xbaMTCd7uTreSNHtPhd157rV5Wrt92YVT6X9/YGujzkHgGVxyT59S9UBPH+JGtZac+00ZEF79Af/8Ry+C4a+P4/0jGOv+w+HeeJp2cO0+c3OnF08z9Qyqz39nP6Mbq3eRstOmzyfZV+2uzk8+4XMrEl+JqUa6iNanboa2hHi2yh473X1hCt4Gtv1qy76NCf7qfLVLm6/IDrmmgardio8zxxI53t5snc76F1h2nhDbtCy8qsN6QSpKihg0TCuZh94QvuJr9fZ/4lv/jDp9CpIjNutqyLJppvLFR7XRjup+3PPEP/a4aV75le2jWs0wHQBF6Tcg2RdU1WTaNZsgy6toIGV4Ou6yA8+z1nfhPNGkiSunTzLQuMW4qyaNVvtv6TmabK9gn/gm6c0UuLDr1Nb/2R5RBbACrepHvzmnX520w/kzyu7KEbzjblQyBazPXijc+4ruyw/PW5tvQPffa2QWV40826WQbl8cabMKSSZAymd9VStbFWh4+kLdowzplPi2Ztop2P6fDwffTlU28gEwQgErmG6GZary+a4V29zrUX97Xlt9+aasLjhYlFcWO0/D9ojFbFZoUvoxU/GKC/PvVD9J9E1FMxZzt7++z1s+mb/7aDaKHO94Ve+utf30eX6m0gECNyufhfk3wN9ayjw/oa+ovtRH8ZcW35XZN2XFb82VVU88zN9BesqB9107z7/Sr9+t7LMvJ6yzJhSOVI4o03/8hntzA+/KFT6Df/8Vs644z/TCdOvKdjARg7cE2CciTx+htvFaxo5eHBS7/5LX3qjDPo3RMndCwAYweuSVCOJF57/c3CFS13hV566T/oU5/ii/pdXNRg7ME1CcqRxMDAQMGKFgAAQDSJEydOFKVo1UCvTF4EoEzANQnKjcSrr75atEV72mmnEZeDJZZltQSgXCj6UzavvfYavf0+vC2C8uFDf3aSPv7xj+sQAGNPSTTkGZ/8mF4DYOwRixaAcqIkivZ3f3hdrwEw9mDYAJQbsGhBxQGLFpQb8Vu0L2ygK1gRizK2ZdVunT5KvPjAJWOzf0/7Y9mv7GPeBnpRBwPZvTzjGJyRSx4bn3PptieoDlb84ys/Rlc8kOlyTZ2XlRGeBXJtnyYXi/bYPReomQlG3M/VyJcRrPi804VdSznuArrH8gBmPouTJZIxlzIFn+0uUDvZRUsTS/mvjRWn8mXWR8VZX4AIOh6R9ba/IqHabbbx2V9EHVxMOd40s31QvkCO0T0XOPXKOqb2vlQdTf3TkpWnAEbHoq2/k55hZSwK2ci6S3SaTZ43VCCecuRmnrVjkVWHXqKrClB6edfvMVpVt52uPKD3e+BOOnLVcnq8VO3MB1GyVxFtdo8By81HaVZYPfzqmXEun6Xqu3I/jhd39tL0by+lnhd0BJd/47draXPnZTqiNERZtKJUqrcupqR+Dz2V6idqsG6o2eutNJbkejp8h3Vje9NZuufrNGbXjh5qbZ1BW/vSqmB+t9m2n1r5n3wiR4VNxogyXTzbPbU812847KMV1/krp7DjEVlvgyisBkqnJxfT1mqPYg2pQxat/ZQq2Rcqqmj5Uynqb9VBL/a+cj0PeSr7CTBGO0yP7SD6btc36SwdQ3QZreM6+yr7MD73TXrkF3Y5EbxwjI7UL6LLPqfDkv8P99DF+ZZTNMPUc9cAffcA71vHKC65h35XVD3OodauO+nIXbn+aPBxf7iWvrNMtuc6LbuVpj/sqVMJCLdoj1HfVqL1D9o38XzqDrqhhKqpNGPfICV1MJxjNHS4lRZ2L6QZW/tyvhFjhxXI+hkraF2WdVbA8ciCLcY7DtP6ZDfn1MinfPpn0Ap7h4F1qHwmvf3OCSpGhEiL1gfpRrpdV7GcpCtadysd2H+rY2Upa2o5rZonXVReyva6u5rRZRWrMSPeuYHT5TxKPydL2XlQ9cjIz5EZ+2bJWPfUWckljpXmqfPjn7ucrqRb6UZPd9nZzq8cFrftG6jHqptpr299o4g4Boqs9niOo94si89V0fT9R+l5HXzMp84ZsHLfXMNlfvJc+k5Nr/Njl3HcZHjhMepx1/P37h5q0R7ro620mBrzMZXs74dFIeXPWMgKp5pqeE+WUTvmNK7yWOZCIcfDi5SxbwZN9ZZRXUOze3ZkDGn41iEMuztfvYJtYsMgrdPDAQl72CSj++8dTikMNXxirFdTvtRl3wqqdocyltJSVR9eeoZbpGdQnONvFiHSopWbVd98jiwn6nxd3XA3yk2lLBvuinLXuk66psbK2j9A1V3SRb2H1vH2bpdXuuDKimJlMK+JSPKqNBkSWEp0s6ecEC72LZcx+5Y62esqlyghe0hgEf1cWWlWPrFcxeL7xbN05Y5zdbu1QnYxVp0px5TP8DFLNqTjTb0C65sP9litUqJ+7XmULmNrNfo4nkPV9QN0TPRhQJ29XPwtaedf0ne/ZQ0ZWMeYvv0DIrO+49G821f0rAO5gawbJVE9SLfZ3VhvunVDH2PzcMZCseuqqHExZQwfhBJSZgYZ2+WpSNjKvC0ui9Lvh0h6AnrVJa86sKV83Qqa0a/1jd3339dDdJsTn1x/mBrUuE/m9un4PPA5D2zeUz/X+bp7dqXLT66n2TLMYK6LfYep5kHZbzd1u8MtznbywzJGY7ROd9EZs2tKWzZe7G63bXGJ5avixFK7k25w88qQwG5qzcersl+5gr1ve12Q/e7/v/SdOivf/u30mCgb77ZK2ep2u91mTVb9LfiY+cYH1TcfZMhAK0Ol2MPaE8kwJffXUpUc86A6ZyDj1vzj8veszOvY6texocc7T4qedZAxTpek9bN7aId9v2aN45kus3TD91FPg3OTVq/YR/tyHT4ILNNDxnYB24Qwv7ufKB+LMlf8hlakJ6BXbXKug7K219Mq00ixkPWqHAcTX8W/aMpy9myv4g8P5dfWgPMgdZ6xooFWzOgPGDu3egU+VvjoWLRByBimLAePRVgt2Q+VXMsvCtV9Z6WRYUkaiiiX/kfmg6VcFPwljXSN1c3OnwLrG3oMDAW0R1Dj0J+ns3UwisdXNtFPruMf1uu/Sff9/QBdHTXjoABCLdqqRu4o59Olr6Llt7VST4amDUANG/Rb9wcr6VEZPqimmtmHacjeT+Bwx3xatXgrXbdu0AnmfTx8kDK8+xeSg7SvVYZRvHjqUApyHdopFPOjEam4d9HS6q20OKmvAbF8OXYM59Gmu83OEEKU+cRWk7Fyho86lpweA70/Y7yWu+cZRZ1Dly2kTEtSbWfGEH3KjUL2W/8j2mX2q6xMyzrTZE1d2t1HP7GVUlb9c6GA+opVfTNb07YFqZS2tohzbE82+hzenOMDtd3L6eoHWaHrWQZnXd9N3x1solWPqmDJCLdonS595tNvmQoVMo1n/kJq9Yw1+iHDBlRj3+55Dh8UTBVNnbGPBm2TUpTcjKlOt9ZD1fLbaEZPjx7vLOB4ZCE/RjNoRbVnrLThMK13zdFMMusQgPoRSA8zyPF1t7csaBUvbfXbPuAY5Ed6SMIZQog6n9Z4tZwHXozRGK1I+mGIM4RwLl3BN9x0ta33Jr+MbhDrx+S96kc6XrrlzlQtp0wZr2VL7BJ5QJMu56zrd9MzC7dbdXDGddddElRuFJ79Kisz++m57HczNel9SvlEmzPGO7kceWrvlhM1FFBofRkZLniY0nk/+QOqfthYxAHtUQ+6POcj41yeS8mbc529wYqd63tNxiwD3f5vFzgEEkDUGG3V8qcoyRZVeixOzUsKecouFqM1fJA1jifzWe+hdSuIFnueKkn3lVasi1TS/mXmrqDndyep5g4r/x01lAxsEFuU691OeAHHw4f53eTMCtNlKKvuKQqefZZZB39YgT+4ng6boRj+HUvn6HH3paamqcp6tzfxXvzmHWt8zkMiUe0OGThDCNV0QR+rU7Wttxxp1+H0cWjoUbFFfcpGeP+9d5UFEalsQTTykKq/kX5X4nmlEw35ETBGABiHyJzcHQuz5+oWicwe2LHQ8wMS0768jO0Y7YTHGcJwrEOWqwYyn8Tnjac8V3IZBqgcip51AMaenobsN8MKxnkzTBuX2ZR0X/4U9SkbIXXyPVi0oKyQHxdjBABQDhT9KZtPf/rT8EcLygr4owXlRtGfsnnrrbdg0YKyAhYtKDdK8ikbQZStjI1hiWU5LAEoJxL8y4+ffgAAiBEMrgIAQMxA0QIAQMxA0QIAQMxA0QIAQMxA0QIAQMxA0QIAQMxA0QIAQMxA0QIAQMxA0QIAQMxA0QIAQMxA0QIAQMxA0QIAQMxA0QIAQKwQ/X/lMaMTMOAumQAAAABJRU5ErkJggg==
    And to be more specific I am running it by the next value: Declared Values and is not there...

    :((

    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
    Any ideas?

  • Searching for the XML tags won't get you anywhere, because those get generated from data, they're not hard coded into the procedure. Instead, look for procedures that are generating XML from resultsets.
    Search sys.sql_modules for '%FOR XML%'

    Gail Shaw
    Microsoft Certified Master: SQL Server, MVP, M.Sc (Comp Sci)
    SQL In The Wild: Discussions on DB performance with occasional diversions into recoverability

    We walk in the dark places no others will enter
    We stand on the bridge and no one may pass
  • Stilll no lock,
    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

    Is there a way to find by an specific  xml tag?

  • Yes, but since the XML tags are generated from data, you need to search for a query that runs against whatever table has those columns in, and has the FOR XML query option, that's how XML is generated in T-SQL.

    Gail Shaw
    Microsoft Certified Master: SQL Server, MVP, M.Sc (Comp Sci)
    SQL In The Wild: Discussions on DB performance with occasional diversions into recoverability

    We walk in the dark places no others will enter
    We stand on the bridge and no one may pass
  • Did you ran that script in all DBs? your proc may in different DB .
    you can search in SQL jobs

    select * from msdb..sysjobs j
    inner join msdb..sysjobsteps s
      on j.job_id = s.job_id
        and s.command like '%XML%'

  • thank you guys, I really appreciate the help. I finally found the sp creating the file. The one that was hiding it was a dll that is why I wasn't able to see it but I could troubleshoot fine the sp with these querys...thank uuuu

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