CPU utilization is certainly not high during the resource_semaphore_query_compile wait logjam*.
But... spinlock SOS_BLOCKALLOCPARTIALLIST has a pretty high level of activity during that time range. Neither Google nor Duckduckgo know much about that spinlock type. Maybe in the future I will :-)
*I describe that here...
http://sql-sasquatch.blogspot.com/2014/09/resourcesemaphorequerycompile-logjam.html
Monday, September 22, 2014
Saturday, September 20, 2014
SQL Server 2014 RTM Ignores Trace Flag 2549 - Bad News for VLDB checkdb
Update 9/30/2014: Rats - I was hoping more folks would be ranting about this one. There is a connect item now, with two votes!! Maybe I'll have to start reaching out to SAP folks...
https://connect.microsoft.com/SQLServer/feedback/details/982532/sql-server-2014-rtm-ignores-trace-flag-2549
Full disclosure: This post reports behavior observed on Microsoft SQL Server 2014 - 12.0.2000.8 (X64). This is SQL Server 2014 RTM. I believe the behavior represents a significant regression in "dbcc checkdb with physical_only", thus I expect it may change soon. When that happens, I will update this post with a link to the kb article addressing such. This post is a followup to a previous post found here:
http://sql-sasquatch.blogspot.com/2014/08/sql-server-2014-mount-points-checkdb.html
Running integrity checks on relational database data is important. Its so important that I feel pretty strongly that it should be included in a lot more performance and benchmark scenarios than it currently is.
Kevin Closson* often points out two things which I fully agree with - the following is loose paraphrase:
1. A platform that can service OLTP workload at high volume with great performance can probably service almost any workload at high performance.
2. If you think you have an exclusively sequential workload at the storage device level, you're probably wrong.
Still... integrity checks are important. Database backups are important. Neither of them are random workflows from the database perspective - certainly not in the same way that user-driven workflow can be considered random. So... just because your system achieves super-awesome response times at high levels of transactional throughput, I'm not willing to assume that integrity check or backup on the system is optimized. You don't know until you know, and integrity checks and backups are both very important things to know. OK... enough soapbox.
I'm going to present the events and graphs here in an order different than they occurred. I'm doing this for two reasons: 1) I think it will make the behavior and its import more clear 2) I think I look smarter if I pretend that I performed the tests in the order that they are most easily explained, and skip the bumbling in-between that occurred as I struggled to understand exactly what was happening.
First, using a SQL Server backup to NUL is often proposed as a means to profile read behavior of a system. I think its a fine tool to include in disk behavior profile of a system - and doing so can give a strong start to optimizing backups on the system. So I got this system... 2.25 TB database, backup to NUL in 1 hour, 8 minutes, 59 seconds.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkAAAAEsCAIAAACkJpvdAAAgAElEQVR4nO2d+3tX1Z3v+w9Ncnysjg62dtCxfM84YhXJQbDUokGLPcSR0OZU0koa6COoeHAC50G0jjAax9vgc4JyVYbiA5GJUKR8Yw63NF64WYJkMkHZ54ePLFc+67LXvu+1v+/Xsx+esL97r8u+fN5rfdZnrf2d48eP1wEAAACvOH78+Hfq9XoAAAAAeEW9XoeAAQAA8A8IGAAAAC+BgAEAAPASCBgAAAAvgYABAADwEggYAAAAL4GAAQAA8BIIGAAAAC+BgAEAAPASCBgAAAAvgYABAADwEggYAAAAL4GAAZAHs2bNmjVrVtGl8ABcKOAOBAykQOFGp/AChJJPCWdNJuvsXIhakvKUHJQfCFj1mWUg9Swcc08x39AC5JN7KGrWWRSJpRaaeLG3xvHgwu8dKDMQsAYiu7ZwqIDFLoMjdgGLl3uKRbUUI59cUjk+lVJFOjijCwUqAwSsgSiDgMUoRpIClFDAsjPECQUso7LFvuZQLBAKBKyB0FqEWRKm/cymqMcnFLBIZVB/tRTAUk5LmqE1da+CvQxaXKocWtnQXLTH5HBrynChQGWAgDUQdoMVas4s/7VYikjJWtIMPUtbAPUsS8FCK+Ve1ND6ulyuGBd8loQ2fUvB3HOMfWvKc6FANYCANRB2u+NygOlgR0MT9b/u2ZlOnKWQVtncraQp30jlcTTEarKlujXluVCgGkDAGohQk+RuswJnqzFLIV6O7lbSPf20/qutmmONImWhTUc9vrS3piQXClQGCFgDEWqSHA9QTZ6jdTP912RG3bNzN4uWdNIqqkvB2FmhWdjTsRTecmJa9bWXs2wXClQJCFgDYTdYoQdY/pvQSkY90d38udcx6tWwlDnSWfEuo8sBamHsp+R5awq8UKBKQMAaiFCTEcmixTYo8U6MYSUj1THq1TBRlF226IT7KQXemtwuFKgSELAGIqrBCrVT8QyK3XJp02TZhf7qmJf9dJeSsz+0BbMk655F1JTlepXn1pTkQoHKAAFrICxmwvSeqwZI/NfRTCQxtabsXH5VU3aso/2n0KKqB9tLFelX+4nximHfGVpfbTqWX0tyoUA1gICBRic7MwcD6gguFIgHBAw0OhlZTxhlR3ChQGwgYKChQfercHChQGwgYAAAALwEAgYAAMBLIGAAAAC8BAIGAADASyBgAAAAvAQCBgAAwEsgYAAAALwEAgYAAMBLIGAAAAC8BAIGAADASyBgAAAAvAQCBgAAwEsgYAAAALzkWwFrau+TN/qZ/Ve7x/JTpNNTSQEAAEA5efc736HN8pP4VT1Y3aPpgQl5YDKm/UN7lvsf6aYAAACgnDBlYj+Z9lj+CFQBiyotLsdAwAAAABAQMAgYAAB4hsmFaPIf2v8IXARMHRKzHwYBAwAAYCJefytcwOzqFfgpYMPDw3UAAACZMTw87GKNiZwELC2VsstP8hQAAACUnEjuwdQETGxsp3oK+ynSniQpAAAAKD+mgS71J8c99YQTmZNrCdQIAAAaENOcMHcSCRjUCwAAQAySq1eApaRAQ7F+x9C8tXsf33T49Oh40WUBACQFApYh45e+XtVXn7d27+KNA7CYGdGzZXDe2r2r+uqjYxPsp/FLXz++6fC8tXuX9B4cOTe2qq8uBlDbfr9fPpJuU9drh9REAAClBQKWIbLFnLZs58i5saJLVDV6tgyKK7x44wD79fFNh+UopGs63pb/K7RKvk3z1u7NvRKgslCPf1VfvcD2K5WhZ8tgJRtnDSdg45e+Fk9VpDs6funrV94/QQ4olxNPj44zi8la/SAh45e+ntK5Vb7CrInAfmXb0c8vBLrbdODEFwVVCHjG6NgEOQC0fff1O4aivvtkYchhkEoJ7S28CtBwAvbirmPijna9dsj9RPlxlB+F0bEJckAt6T0ot7NY81+2sOOXvrY89yzTFFtPFRsB2n3kFLu8b/Z/O5vyyMh5i3o1tff1D50NJj8PtC3pPSjncnp0nG5WZa6bjPByr98xVMkWenaMjk3c9dRui0Sx9pMwFKYHSbYwZJ0S3pHQFl4FaDgBm7Zsp3xH3U2S9lFgD7FwQKntetrW7xgKFJ/Vg8/2r+qrj1/6muUot56S994sI0CizFolLier+urqFZa1583+YbuATV+xa0nvwekrdrH913S8TYaDjLucS/X8wPJT8eCz/fESEV6NxhlEZC++akzU9pNd7bQWI+Fbr7bwth/6LEmCJaSxBGz80tfsjqr+Iq2r8OjnF7RSpHazKEFt96upvW/O6j0mbZu2bCeJ67RlOxdvHDgycp4d5i4qq/rqlJqogpopS41Zavub8+KuYzF8sKlAEqvaDnYlV/XVF28csAuYZXtx17HAcBNL4oeRWxtJ7gLT73hJyb3YOav3qE2x6qF23Jk8aA+QN9ZSNFmMSHeEQpZEM2JJ70HTC/L4psMetVYtNJaAqTokO50IuSM/Z/UeEhV1NMUkRfRAaCWKNtOTyjY1hd1HTrnUUW5TN13plJiElpC7evILpm1Qp9Jmj0cSTYq03fXUbtX9Iu5L4Z0M1tpIchdScTFNXbpdTqRny6D9eJPXPQsycpurHfemK41aou33+12eNOrTWyzGkZHzlCA1WahhunjjwNHPL7AWDHsxTQ+wqRiOQ/tlo7EEbPuhz9Q7t37HkPxwu991bT/gmo63TQ2fhBt1Cwj5tZRHktV+W1N734ETX6g7ZeXWvo20zVm9hxKn90R90ygUIiNosJBe2gef7U9y9eydNnXbPPCJ6adivYjaBlBs0xO7amJcUPWV0Stg6h2avO5RcVHBULd5bLQPhtw7jyQelpbZ9kOfqa5stk1fsYuNjDS193W9dijqO+JjlFljCZipXy/GNtQuWvItquk0bSLkhDW15PS1r436cDe1963q49/QcXm+Vespy2rqaLuGMbbpK3YFQXDgxBfup8xbu9f0U6aaHYr2bop2eiROj46zdBwFTH4CLYa1abJjnILr1NchRtjn6dHxUBUMdZvHZuTcmOUxCxwCiCI9upb2Zepbsc92DBpLwCzuO9IwS7s73jZ16XbT497k8P7L25zVewJzeEjUTbQWVStmKaqadcKJU2yuMfvVpRnL/FfajfyolhuhrZppo/DF2IyOTdAgqxxcSiOvDz7b/+KuY5bulDqIS1u8wXn1gjhWLV2TOn3FLvfZKYEhfkdVQbvbPAmWlhCN/4UOgJV2y7Q9mgWNJWB2x7S2h5HKA2Fyf20e+GT80teyOZi6dLvJak/p3ErmPpWC3fXUbromCVuL13S8nWTQnlVHntjgWLDHNx0O1R7hL2X7SfzmrN7TP3RW27PRbgkFTLZuImxS3mkZ0zJdk3h2RzXEjlVL5QlUNxcXFhviVa8koW3nqQPe8bA0c6kr7DgApt0sXf+E29Sl21mkvjb3VC5RbjSWgIW2HE2mcN7avXYDp1WdqUu3k3FXx96a2vumLdtJvwq/ytSl2w+c+OLIyHmThnW9diiV7hcVmHo8aqxt1C12bO74pa/V6jy+6TD9+sr7J1xyf7N/ODS4Q3jYWHdt88AnojDunl75rOQPIfm12E5Tm0D7IDVNdgi70z90lqXjImB2j0LCze7DtLgfWHCNtp0X7yqpWDpYr7x/InDzHEzp3KoeRhbActZdT+12H10TV6Z/6Ky4sLK4Tuncyl7/hO3R/GksAYtt/antNnJu7OjnF1QVJD8hs4DTV+ySRybmrN4j/2qfUXRk5HwOjm8KN0+eUaT54DKqAaWNroxjLMyBE1+cHh2ndqupkSFylO2aaEAQlpYvu7MJG/JMREn+tVdAxdSCVoP7xQzlrtcOmVJTp8q5tEUiDSVG3eRAPpVQ98O0ZTu7Xjt0enRca+XTmgJhKcbjmw6bBH5K59b+obP0LE3p3EpNVdk3QxZjdGzCUsEXdx07MnKeRGjO6j300E5duv3FXcfoYWZ25pqOt1n08unRcTqGyhAYHkhfaCABUwd7pi3b6djuVgfJxTDytGU7XXzro2MT9LDKT1somRoL7RZD46ct2xnjdgRmQ0AKwZR1+6HPtH0yNnCill8u3si5MSF17J5aBIzFkrj764SEyOEDLPH1O4ZUk2eSHFNoGY2PWo7UzohQBcxFmy0OtKlLtwtfgt1jYWqdqBURHDt14epfbGZ31vRAavcLt7kjptXjLD3+eWv3anvJ1LVyzNfSxwqN1pHDW8g3Hpoduxex26OF0EACxsSAXhWXIaWoz326mJz+lu2ajrdNZ4X6H2iSctOV9qBjNyheGLep80fh12zn6dFx1XROXbqdpam2SBzd+u4CFjrP6cVdxx58tl9uC8sdbpb44o0Dak/UJGCmQqrXQY1tUacYq0GeLgLGHGjCu049DHGY7BjvHzrLBnrHL31tqov2WTo9On7jY9tYlaM274Tb3BHT6nGsl8OyYK+ecIm7Y3rpMjJE7LWK3R4thEkCJleD7REnqHssP0U6PZUULLD7RE+k1p29eOPAyLkxekynr9hV7OquLMojdCOngXZ4iboddg1jDgdHAYs6NYoWHzKlNm3ZTu1LpRp6tcGuto7Z8L4JU02nLt3Oeir2oRT7VA3VDTB9xS61J2S6npZuDTtSewyTXrWVYxGw9TuGtLlTfzT0AWADvfIetqmdjCthh5vVfKOGPERaDMw0y9se+Jrc4SyMz9Sl2zcPfEKvv6OnJwZqYzG7YTD6iKX2O5bqTy57vhUw9TUQeyx/RDrYcnoqKdhh7U0yQ9r+fsIws9QJnQ61fscQPfHTlu0UhVffbdJs+yKBzHw4ToeMesVCa8RsJZVcnaWnujtUXQztMBGWdXfYFbMroqV9QA0jdb8qJCPnxrTrdVkcvMwua4+hKcYiQbXKpmtlaW0kDGkJlBhd1oSSWiTfCth3r8QasAlhLpvjdF31TtH4nDqTwd6+jDdFL2fY65bRVH0hPKqGiT2R/ggaSsDY60rxQmpcsuqNKRx7QDkLRhCoI0bUaLWvMcMmezpOJZYHfuWVQUxTR6NGUlHJ1e6LOhyltkgcm8AWvw2L1LIIWOicP633STXBsk0XzivTJDDaWBvCcqTwJaq9VZOAWe5X8m4Bu/Ly/dKOtzUv3vy2opqmp/rBZ/vV/S4zmtUHiRYYY60omsRmueMJL04+5CNgggwFjDb6Tfxt+UPgcrDl9FRSsMOeM3rh1e5zOccwVa8FvZZqMIJANffiSNPIn+pkdxQwYXRCvzERGPTYPkNFlJztVyOm1F6aY+/Q1Nect3Yvc11aBtVMYe5JNhEgbldH2e7bpa7pilCpllcrYPb2U3JjZxpiPD06rj72U5duNy0Kqn2q+4fOqm5zl2VFtaPIPVsG2S1+8Nl+S0yHWJuj5OQmYCYXYpo9sEh/CBKenkoKWoaHh+v1er1e/37nO5Me4v0f0f7rH520/413D9TLx8J1vJG+9q3+0LMeXPutc6PWve2Ph4/Q/nf2aHobte5t7+w5yFJ48rV9dlNIW9dL75uOF9fZkmate1u9Xu/c8L428Zse2yJKzm7ijr1/VGv93V9uthdAS9dL+txnPbmTXa5ZT+40JWKqQsKNqqC9a+otqNfru/d/ZE/wu7/c/M6eg7f9jstDxwt/UCtleQZuemyLy7W1s/atSS7ERc/9oV6v7/3wsFq8rpfeF0+Cinp9vt/5Dv0kvwhN7X1PvrYvtFQ/fvpd06VjpV303B9M1+e+Z95Lfn1y4KbHtsR4ZWSGhyMM9WXrQoz0R4rykzwFC2qbVPwkN9xK22JSfSkuHYvRsQk5pFD+SW59W6KbQr+qRZsItVLHA1QPHlunQIzqa8NVaBqmOFe+WaZiyy4p98AtU1+T1riS91jSTLjisGmje2eaNkeb7DlgBZ7SuVWNvxBfWmCVVSvF7lfb7/eLsEPHLyTYYR5a+jyeOtrnsui+/FTLT476rcjQpFyWKGtq71u/Y8jipYgRglgI1XEh5vxHKim4wDxLcqjo6dFxsjvTV+wq7VqWqqsz4UN2enSc1MIeZukoYMLwubzDzJ8jK+vIuTH5XVInsoibdddTuy2+UzJkc1bvcR+hsQgYc8Za4oyjju05bnQR2L1gFla270zAqMCqT8z+RVBxMdlhdNlTtHEua4ZN6dzqMnDFYvfFfub3s8w2I9wXCDVNT6SNBtrLT1FBHAn/CExh9CLL0D3q35FOTyUFF1grz7slv4LJQ+65TU1zXGiKrqf2tWdFZdZqSufWfCoSiskMUbSqvMcU5pPdGksU6cdKyDpGsvOAlYR+cpmPoQoYG1jKIsQpVC3U5SSiwtqvoU+d+1jmkZHzlpndqfRQc4A9GNm149kYmPp3/DD6eDRF15LUU3CBvfyOc4NKhfAH3vXU7tymptndVmIjlTJNLJWDJNk0qfJ8gsjU16SYArZTm0IWERy0kRtWnQfCrLwoiSnqJHR5SdawU7tfGa1WbpkeYInaSJIF68+t3zH04LP9PVsGaT+71MJrqm6jYxOWd6TYT8e5ow1wywHTnDB3EgmY5WXOLQVH2NvuODcImF5O1mQjJ5XJgsvvA+s3lOfzDSYBo9k/zF+nTSGtr5eZysDiJN/sH2YeSzHByyRgoX0dJmBq9yujKa6WCdpp5cjmKsjxq+qKG+wppR6wGqdKPTnTRwR9iaEPChKw5OoVNM5SUizUNa0PK1Qek1tMjcAOzA18eYVWywBYsZgEjB4Vl0GCJB/RsG/U3mLzpbYf+sxUKkvcv33pCiZgLP3sWhuWUqWVBZMf0zNJkxa0F1ZtoIhP9GlLXtqIMJWiemDJaRQBYxNIPbpDxWIRMNYpofnL2oNlP2FG5ik5pr4mCRhrv2sFzDFuLcZGHm/VyjgKmBzfYfciygOWauBudisMmaZSpdiJYb5rMT1cDSEZOTfG/I10pNrEEYmEPvYlBwJWdphx8cU3XTim1qX6gbSRc2OmxSzkMXP2U4FVY5gEjF5m9oarY5Chc4eTbCRgTESPfn7BJKssrEAe8bV7EUWAZc+WQfUDQNldfNPM+hQzZfdXdI9URTfFGalPiFgVU9t28SWGPoCAlRwWg+6Rb7oMmASMGbiRc2OWWVBieIbtL7ZqMnYBY1VT33DTQEgqG3n2WItBzBaQbwEVxr54o2XAiQRD2x/KNHDXsgJyWlmYlqxVW13s6okyqLdYRMlrr5gvMfQBBKzksOg4j3zTZcBkUtVOiSVKm2wra/6XJ4Y+MM9GolE6ZuYWbxwgGZi2bOfijQOjYxPJP2xt2WisRfVrmfqFSQTMFBSeaeCuKdN0u32sn7Sk9+C8tXvVqXts1rNQbrWTLQy9Nv7Wlxj6AAJWctj77JFvugxoJ+fSy88eess0XhIw7QTbkmAa7XP5PPSDz/aHRqgn2Wi9ZnkPab/J7rAHni08Yf/UpGkkL9PAXUuwa4q5OK6Twu61bC5MH1gJdPPEPRqnsKynXHIaQsDYs2X/nhNgaO3dkt6D7KG3d0HItvooYNqJQerm8mXU2NvUpdu1l84kYMwjx7TH8j1Gy5apUbPECqWYi+O3YdlVlbuelpXM2DzxYr+CGxUIWKnRzuoAjmgdg6qA2U28pwImFp4IFbB4quC+MQ8nWXb2YAsBs39COupHIFniWWAKgUlXwCxLZrCbLv9Xbu/KK5mpy1WIhayy+/hkRkDASg0zweWZe+QFWnu3pPcgm1hjd7LRvFHmKQpdki5PtDZUBJKZogzE5r4KIg1lRY25Z15Bioxn1zxTAcvaIaa9IOkKmMuii+omzxirKhCwUsNGv7ObzlJJtPNzl/QeZFbSbhbplXD/sFYhqMUWrWzHRY1dNpIZxzW6TJeX/Fomu2MXsBhL5ufgENN+WNllBfpIWNassj+61QYCVl5Y8GsJP7hccrRdK1XA7KaBQor9EjC5eI7eJ5dNG88SurHLS34tk91hgz3MHtn7yky3mvJyiJk6+unmEkO8PQomjA0ErLyoX1AtukSeoR36XtVXt3vVmEeIOgEl/yYAEwl5rDRqh8kiCZRgwqXrtYtLCbtjt0eOApZzU8/UTko3l6OfXwhdkp9tfo1mxQMCVl6YnfVoenxJ0MYv9GwZtHvVWFOXDK59flLhyNNRKXJd/JRQwEga5c8IJFy5g0wMC31MV8ByDrHRtpMyekLe7B8W3+Q8cOIL+831KBo+Nnafc5mpvoCxWAOPpseXBK1QhQoYs600FankAnb08wvkyJq2bCeLMUvYYdI2aV0kxPQTBcUwuyOebbuAOUaT5yxg2g69y6eTYyOUyb6KilhEpsJAwMoLlvFNiEnA7BO/mD0irSq5gFlIKGDamRuhgYuWrhI9xia7Y4pOJBw/+5KzgGlHGfOxpPabm0MBCqc6AsZum3oXLffV5WD7Y5E8BRVmJlw+TA5ktA6Wni2DdscL+5XW7Waqlmn7Ol0Sevy0zSb7ihhN1rnh1EE02R37ykCOApbzCKXpMcsha3WZRLGVaqpiduQmYOonlS2/xvkisywPLn+wE6P+kW4KWtgT6XIKkNGu8xZVwMga+tvQCxw8fvaroSaoDRyXt/FLX5tiO7XrgzgKGFvrz7TlLGBaP15uT4jpIvi1oEZs8nkxmTJpDxA/ufwRMAFLoh/J5Sd5ClrYE+lyCpDROlheef+ExfEypXMrs0dTOreu3zHk9XexY0whMkkIYZ85R0GA2mXORbfAtGSUXcAc57TlLGDablBuk4hNN7dsgbIZkXPLUitg7rrlKmCBZP3l/wYQsEZCa1ne7B+2CNi0ZTu1vzIz4ZeAMY+fZQRL9Q1qQ7Htc5JIpU6PjrOOmhzKyKRIRNiaPrOiPcu05b/mtaoiucVzm9y54pOV1aYKAmZRKRf9SC4/yVPQwp7IOoiO+mKvfat/74eHTbbvpse2WH4V25Ov7Su6ZhHoeOEPouS3/W77jBU7LNVne3bv/0hNcOE6mwvxtt9tDy3S2rcmSeDCdbtpf617myV3dpZpE6nlhnrd1r7Vn0/Wpru56Lk/5FOAYln95r6EtR4edm1qWNQrSChg2s1RP5LLT/IUtKjVAVFR16mjprHpmaFFDkNNpEfzJQMpyH76il1HRs5bHIDqT9q5RPb5WC7OK1NUp/qxbPksx0+X5R8jql633J4Qrau2yTcnQWxyCw8OHf1iWxDJhUjEE5LY8pM8BTvyjSnVFxQ9QnWw2AWMjG/FBIxhcQAu6T3IvGFaAbNHA7p48Ex2hzU4WO6Ok7LzFzBVRXL7cITpXjTItNF8BExVL8ueFAQskGwQ+1WVH5eDLXuSpGBHvjENEhSbOuq3Qkh7TONAJGChYeJeC5il/7Sk9yCru3byhl3AXIwImztFp7CI/2s63mZnOQpY/p/NY2sONOU4a9O01mWDfHopTwHT9q7YMex4NQWxRyNgkYikJRml4JI+BCwJqm+HVoIwSRS9AC7znIquWXzsAsZWpdKmELqUSWgZmBTROp/soyHqR4218yLULX/vmarouQmY6Zo0yLoHRa0wYJkT5kgiASu/egUQsDRQjTW92HYBC53n5LV1sAhY12uHRs6N0aKxU5duN60GaxcwF/3QTrZjq1errkjHVUXyFzD1guT2hJjmMjfItwMLEbDk6hU0wlJSELDkmHw7ps8Q0xIboR9OrKqAOZr+0LW4QlPQChibp6z25BwFLP8POaoXJM+V4LX+8EZYyTfweY03CBgIx+TbMUkUWXAImB37WJTLAKFWwEJXr3YUsPxHKNUvJuepH2prTB0+rCqs6eDRN6caS8AaZGGY1FEXH3IRsNDPdnjdvE0uYPYv3LuED7CRGxIwdlPUgUbHdR3zFzBVWfN8QtQYSHX4sKqU/EuzFhpLwDy6MaXCNDhhMuLk/mpYAXPx/gVhPSGX7ilLgRwM9hh6opwCphYszydEdTPkvxZJUUDAyounN6ZUsLiApiuD2yYjrv3cYsUEzPJVLUfTb1kEvclt+EcVsNAYesJFwCjQNGeY+ub57Qi1ldY4H7+FgJUXT29MqVBHa0h71OAO2YKHfrbD60/bWGrn3ndJqO6qgIXG0BMuCxMXMkIpN3pyHrFWI+kbZBZzAAErM57emFKhfuqCzKvJiNO4i/2zHbTclL+kImAWIXFRd1XAQmPoCXkZEVMZChGw06PjNP1gSufWnKcJnh4d1z7GjQAErLx4emNKhWl03WTEyfZpfTJiOUGvQxADq4C5Gz7TRDrHzgezuVOXbmcfWDGtpiGmqU3p3Gqajub7DYoBi6T32sUdCQhYeXFpkIJQtALGzGWogFVpaVSLgLmbfjnyberS7UJU3FNgWYfG0KuYghIbx3wLZAdmQ0UsM8+zR3VvLAHzaIJe2dBaN1PjnX5V56V6vfghIxUBc1mwww7Lmi0x7FgSCBhxenScPAR3PbX76OcXii5OfmjDWb0AAgac0K5OaxcwNfQDApY6LGuXRYRDE2lYAWtYIGDlBQKWCtrVaU2LIZHdVMO6qiRglhCVPE0/y5pFZDgmoo3j8DpGFEQCAlZeIGCpIDu7RJCCdjEkMfdIDf2oUlyAZSnePAXMEsfo/vU79dtmHpkwkBwIWHmBgGWHVsBECBMELAeoVaHd3M2QaJ3QFntADngKBKy8yDemcabW54N2MSRxkdXwtiqZRYuA5el8s6yY7PtMO5AbFREw1XUu18p0jHpwpD3ppmBJs6laYdxlQCtg8hJEBXZNssYiYHkWw7Iko0ezeUCxsFXN3J3PMTB9Bszl+8u2LzIziZL/EET6yeWPdFPQAgHLDnXxAtb/qPDM0JIImCUYEg5z4E4+z7CqQPL+qH8EWhciBAy4w5575nyIF9XtBSURsFfeP2EqBn1WFAAXcniGVfmRf0pBwFjp1fpAwACDPfeLNw7Ivxa4NmvWmAQsU/eLiuWzznjagTu5NcIcXYhp9sBc9MMLAet66f06SJXrH31HvsJPvrZP/nXvh4dr3dua2vtmrNjx1r8fKKqQaXFgzZqB5cvp70QBRz0AACAASURBVN7t/PuHtN302JY8i7Rj7x9NAsbuBQAW2MMT9fThYdcpngW4ECsjYI3zfYTcEE7CGTOXzf/hwiMnzhRdogypt7bWW1vHT54MDFMImnLvaFo+KlalaeMga4rtgaUgYKLQ8YQktvwkT8EOXulMISfh1W1vdDfX/un6284dqHLgAAnY+T17gtwF7C/vvXeqt/fyxIT6E4uUEVvjfA0EJKcQAYunW65jYC571L8jnZ5KCnYgYJkycm6s7ff7b71n1errbts75yefPv980SXKEBKwU729gVnAsph99dX585T1l4c0cRmmucxVmjYOsoYt6TJ+6evUsxCjXGxjv6rHW/ZoXIiRSC7XWQs+BCwHPn3+ebKwQ21t2l5CNaA6nli+PDALWBazr85s2kRZa9sH6kJQtFVp0gLIGhYwnM/DYwrocCeRgJVfvQIIWC4MLVpUb20dXLDA1EsIguDs5s2frFv31cWLOZctRUhFBhcsCPIVMLq8pvaBaS5zlSYtgKyZs3qP/PDksGhOcvUKGm0pKQhYFoyfPFlvbT3a0XH69ddNvYSJM2fIBB/v6vJUw766eJGqQHEcuQnYhYEBum5HOzq07QPtXOapS7enWwxQbdiaZL74nxtLwDCsnQXk4Pr0+ef/8+hR6iWox5zdvFlYf3LBeYfQYIrjUD8WQ1vq61+M9PTUW1v/8t57pvaBdkYaZjGDSLB+vC9t/cYSMF+aFX5xcuXKemvrhYGB4Iqz66vz5+UDxk+ePNbZWW9tPbNp01BbW721deKMf9H2soCd6u3VrgOZhYBRjpcnJkztA21fEI86iIS85kCTPzOOIGAgKWRhyTFIbi5Zn0QAwlBb21cXL5La/dennxZX3pjIAnZi+fKcBYz+1rYPjn5+Af7DSJzq7a12uGwMmCP6n7uf9eISQcBAUmQLqwqY6LKQ2f3z00/XW1vHPHzkSMCoBzm4YMHI5+e1Apau744C6IcWLaL/qpc30H22Bv5DO/66AbJDXlTz2oWvvvR3d6lNpRICAQNJEYF5QRCcWL683tr6n0ePyr8KeQuuBNyP7tuXdykTQwJ2tKOD6jj4L6/SQzVj5rL7aw9f3fYG/TfdFQhFpvRfrYAFQfCTu5fN/+FCPOcuiEl1tKIKIOSR1Lvv+PXGm2d4ofEQMJAIZmHJQyh3sJiAUSQCLWbhF2P1OjkPaSxq4L75Nz7wQlN735Jr7uxurrXfcA9pWFQBO7t5s8VXQ3kd7+qi/5oE7KUf3dvdXLv+oZeb2vumr9gVsWaNBV1Sy3yPxkQeSV1yzZ3rvne7FxrfWAJ29PMLRRenatgF7PLEhNw/C64MiZ3ZtKmAsiaDBOzkypVBEJx+/fWBuT9tv+Geqx7Z1N1co+0fv/+TGAJGw1qmpq6caaBrHwRBcHli4sC989Z97/Zb7l0zfcUuPOR2zu/ZIy8JBogjI9+4xGtzn+lurq2dMt0LV39jCRjWJkid//r0U7mL8Mm6dbKHkMlbcMV80GpMfiFryeWJiQMPPtTdXPvb1ue6m2u/um4m9cOuf+jlF3cdi5Ss3Z1Fk8BGenrov1oBE9Elf3nvvTgVazDIB1BvbT27eXPRZSkRIijpZ3+3oLu5turaWyFgpQAClimsi0BDXKJtqwoYWWQvApwYrKYf/+KX3c216bOf6G6u/fym+Qt/cB/pmWkCDS1EwnaK8RiTpSC9F5dLK2BUME+bBflDbSxcLoYIBaKm2MJ/+EcvOqkQMJCIqAJGx//56acLKGsyWE1PLF/e3Vybe1tHd3Pt/trD99ce7m6u3XrPKpOAUeQbmz9A/VeLpTi3bVu9tfWzDRvov1oBEz4x0VFzpDGjyY93ddXNC0s2MrSeb3dz7TdX335/7WEIWCmAgGUK61GRf0Y4Z1gMQnDFZPu4GAfVVEjvyZUru5tr5G+5+45f333Hr7ubazNmLtMKGI0FqoEDovN0bts2baZsyJC1Dwixysmxzs5INSJNlUOlG0HSqNZyWwQQ05btvP6hl7uba7/8m7vn3P7owNyflt/LCgEDiWA+LmZwWa8luOI0k/tkvsBqOtLTQ6Nf3c21O2Y9fsesx6lDpl2uTPS0mFCN7ttH+0+//ro2U9Yg0ArYqd7e+pVVht0/BSC8l3L8CBn38seexUbUOobeV567ntpNY7oLf3Df3Xf8+oN77i1/sFVjCVgWH7lpcMisCx9XqIAFQVA3rJdYcpiAffr88yL+8JZ719xy75ru5tr8Hy7UTtX48tAhMpriQhF/ee89uzuLKZZWwGixRHtPTkVEkwsBE8bdPRHvoFrTTD4xPRwQ89bupRDE+2sPt8zo2v0/5praVeWhsQSs6LJUEPJfCcUiiyzMtFbAqJmfd0ETwwTsVG+vELAbH3jhxgdeoEh6rYAJoWKXQqyzZRoUpIgDoVifbdigRhuSOSZtG1q0yLETJkbORH9LqGzUsTSPEO0tTx/CTFm8cYAcCXNuf3T67Cd23nVP+f3JIV9kVndaxED9yWVPuilY0oSAZQHrcjErz/5LmGbjlhzVWSoE7NqFr17d9gZ5FLUC9u2CkJNb/SRIlkFBFrWhnUUnridNKTvV2/vJunWsq6cioslF4hQw4mn/2BHhkvX0IcyUrtcOiaHc6bOfeOdHs7MQMNNnwJJ+kZlJlDhCtv7qH+ywqH+km4IWCFhanH79ddUskkkVTicXAfN0PV9Wl7ObN//uv/13EjB6upZedWt3c23kc83yceKL1fUrqx4TIqTbNCjoImD1K2udCAViXSstImuRuFDTCg+DUa0vDAzQha1qNePRs2VQBNPefN+6N/57S+pxLqoCif3yAY5/BFoXIutvBW76AQGrNmK2LGu0slEZckMJh5hWwDxdz5fEQ4wKnN+z55+n3km9Lnq6/vH7P+lurg3+y6vquWQu6YvV8kKRtL8+ebESGdZRUAVMnqhweWLiWGfn4IIF1BWzx0CLaHJxI8gVSfurOgxGtRs/eZKUDKtJyby469jPb5rf3Vy7+b51N9+37rVaygKmyo/2GAiYJlkIWEJErDbrOTEBY4NebBqTfEqZ1/PVTjpm4jG6b9/7d/+EQrbo6aIIroH75qvtetIhiraQK06fSVN7ZuxEIWB0F+ShdYpKYIaGLrt9oq6IJhf3jmSPhusqOQx2eWKC2hCXJyYodLP885zy5M3+4fYb7qEFZW584IWNN8+QJ8CkRbYCpqpXUBUBu+mxLXUQl/2PPLKvpWVfS8vhd96R9w/89rfyzsPvvLOvpWX/L35B/z2wZs2+lpYDa9bIpxx45pl9LS1/fPnlPModiw/mz9/X0vKnvXvlnawuVNONU2+Xl4Gfc/uj/37nzA8WLmQJ7mtp2Td79sFnn93X0nLgmWfE/v558/a1tHywYIGaXb1er3/00b7Zs/e1tNQ/+oh2/PHll/e1tAwsXy4OOfTqq/taWgZ++1v5vG/uwiOPmCp4ZP9+upvyjaBC/mnvXtr/4cqVIt9qcPjdd/e1tNDd+eZeTH4yG5w33j1Ay3Bc9cim6x96ed2Uf/hg/nzHc4eHXb/gbBEw+ac4AsZUQe67sH6MjwI2bdlOl+OBFmqeqz0nNkhDE57EDBvtmE351/NlvjVCO0Pg8H33t895TDxjP161iy7U+MmTohtH4enHOjvZwobBlS/RaNfXCHTTwFWXrLaz9dXFixa3ZCDF0IteiDw/j3yJ1XMkUueSrh6b/gGCIDhw4gtahqOpve/aha+u+97tWcw0sAdxqP91FTCLJMSTFkf5SZ6CHQhYKgh7x2K4yfiKcR22dpRWq0q+nq9YNYP5l1hdxKDg4L/+25zVe5ra+6av2HXgxBc0uCImF4/V68LLxxY+FppBPtULAwOsJKo4qQLGZjoL7FF2IoZenMtWSKGs3YPyvYCiVEiVabBWdRQ3MieH/kzLcJDBXH3dbfUMZhrYu1nqYdEETO5mCVS9UeVH/SnSniQp2IGAJUdev4CpEY2KC0PJBEw7b6nk6/kKZWI1JU0SUiEOY11SFgp4ZtMmWm6D6it3jIRmmL6RRmNm8n61D8eW/xeYenUE5UgDQlRNtkbl5YkJ6kpWqRNGzyo1tsZPnlTHDhuc8x8PyWO6T3z31nQFTIQgsk39iR2vpiD21BNOZI6kJRml4JI+BCwJYiUk1evCWvrsA2DalSNKvp4vmTZVYtW6aD2NYnlD2o53dclzvSlqg6I8xHVgk8EFai9KnRhuEirtlReQ7JFBp3xllSVEJyzsgvmBHMER+LykWXZ8eegQrSZDBnPJNXfWJy+VmTr2gA4XEglY+dUrgIClAdlNev+ZWadgNtnRRIab5tJqzWjJ1/MVCsSa5yYBY246Gn8ipacrJq+mIf8tNEM7HkM9PDanWBUwk6uQHJ6mxVhJuqgwFNNI40NyfKPohHk34UELtUvkAcW6dZiwATm/Z8+qa2+de1sHGcxfXTdzYO5Ps5vrnVy9ggZZSuruO359f+3heWv3Fl0WXyFTS72HSSvzXryoNtLl/gedwgSs5I1fscAuK6EqYMe7urSjRCeWLz/a0fHV+fM0441kjGRAHtYSmqEdj1G9hYFOwKioahksQQokjYMLFshBDVrBI69pmcNt3JErS5D2a2cvNCZnNm36p+tva5nRRQLWfsM97/xodsnnejeEgNFyCf9zeRXew0Kgl1/4ncR+sTSqfPDJlSsHFywg66B1sgXlXs9XrFvIBgDsTjkt8ngYzZ8jBaIrJjSDzeWiabak/UxRtN0I7UCFxU9LHss/P/20HBJCo5WsdqSsWUwGyh85goNgw7fgsw0bXvnhzOmznyABW/iD+1754cyS978bSMD+1yNriy6Lr4hFKFi/hDor2lAuOc5NfQfKvJSqWLeQWbcYAiYCPURHTQ5wF5pBh9HcAzl39dKxGBnqy2qbAmw+gwxFyZ/fs0cWMO3KFGLcKNOBkHyQIzgI7YowZzZtOtXbW6XYS3dGenre+dHsm+9bJwTsn66/DQJWMELAls1dUnRZfEWYWtbeN0UfBJLt1goYdS/K2fgVEfCs5BQuEXXxoRPLlw+1tcl+GKr7f336qawZwhNLgvHZhg1HOzqOdnQwS8oETP3gtYCiaVRtE/7Dry5elB2SbDqEgKy87ytWsAgOQl0RRhxWpdhLd06uXDkw96c3PvACCRiti3jm33cXXS4bDSRg//vv5xVdFl8RppYNG2j9TgLhRVTd6GVeDvGb75K0tbGq2QPT3aG6f3nokKwZlJ2l20QwxSKPoul4CsFgYzzCfxhMHlEzNSnIC+r7fCnthWLrUAdSAGrFJsA5Qi/sTb/4N1nA9v7r20WXy0YDCdi6792OAdt4CFPLhg3sNl0swa6aRbvyFQsJDP0rdy7TEjDq4Z3btk3WDPo7VC3YLAXt59YE5CpkrQfhP2Snk9qpVlsbDOkdYhBX3SkHXsrDnw3YCaPeZ9vv9zddWRetu7n20u+eK7pcNqovYNc/9DIJ2MabZ6iLHQAXhKlljqZvOmSGARLhclQFzOJ7LByqIw34yUFraQmYCESUNYMSp39Nse+E7MWlIAuTgNE8aObz/GZM6+LFYHJISD1sRXyvF25XIzgC3dQ3Ooye9spMgHOERmePdnSs3zFEAkbfBvtd21NFF81GYwlYOS1m+RGmljpVZMtYb0DF9AWWQGc7ygPZayqhy5ThqIgvzsg9G7qwpC72ZpYsYNqv1Qioqycvg8JclMIhaZ/YoGp5ppzdvHmkp+fLQ4fE98k+Wbcuoe+EPAfaKedyoCYd9uWhQ1WaAOeImJ3ZP3SWBKxlRld3c+3+mb8pumg2GkvAsHJMPOpK4FxgjXMTnFi+XDucoP0ISBkQw/hqfIQaxhYPum6UC1s0kjZ7yJ+7gFFXT3aRsblloo72qeV0s4ba2sbqdQrx//T55zMaIpIXLZO3411dLhomX0bhMJTjVuSDab+YJCAfVqUJcI4IOR+/9DUJ2PTZT3Q31+6vPTw6Vt7hwEYRsN9cffvGm2f47sovBLl5Lk93Zd+ujJ2mClnJkZ6e/JvAsleNNEb8lOJH6IWRFRIuRl9CH1EqBo1ssW9sMkiuyI6f2bTpk3XrqC8ljv8mCn/RotDFvcT69FkPEVGNjnd1DbW1UfTmxJkzVOUTy5fbVVPMQBcb3Sw5bkXmm0DNK65C+TD7BLi/vPee3c3rI7JTZNqynbKAjZwbK7p0RqovYDf8bCN9Nnd9y0O+uwVO9fbmP0lFbp7L4970d+xF5dWwZoKMrNhGenryrK+8XgONhYgHJkUBE9+xFL0EspguvVJyNpJj0P5hGrFerQiuqyurD4s9difhVxcvntm0aaitTXz8JaM4PfExGnnnxJkztN8yDvfV+fPig5yBFOoZTI5b4dlJC6HJh1kmwImLyb7s6jvUX6dnad7avU3tfTfft47W9oWAFYm4Dc+0rTC97fSF1tJ+4IMQi+zlHB8lN89lSyei6eIlK+Lu5J1kOAYXLDjV20sW0262Ukce7Wd+pBQFjMxrXVrqSZjF0IdQllhtbIJATHNm/SdZHupXPpFj6ckxxBqJqYdEUZdR2+8JHYejmR5C/sX4n8l/SIiHUD3MNAGOQmOyqH6x0BUm+WcC1j90tujSGWkgAVv/3Bb59TizadNnGzZcnpi4PDEhDEqZF/4SHpKojd+zmzcn0WZZtEjMaBCF3uTYr7FY7JyGHOhesLhwrdmi1gYdryZL7sfYHyqUB7qYHylFARNzpYU6itYJ+/SMijylKXRxEOpGkIz959GjRzs6jnV2qisvmz4qZoLuHVunMTYiaoP6dtorII/Dqb/SNRlcsEDcHRHqafIfyocNLVpEV1I+TDulQe7Lai8XuWp9nK4jf5SOIulvfOCF7uZa+w33QMCKRAjYmr7Dwi0gHkR64MRDWc6ZSYSYVhWp3yNqqq4SdPr117XjTEzw5OY5uRNJYMjWx5Z80ZAX33o+t20b84kJsyVsrtzaUHtm8iIaMQrG1muQ/UjjJ09SdzAVARNrJMrPG+XlUmwqyVcXL1IbQv0YmGCkp4e6s6bAEFJldda2na/On6fSnurtdR+qFBEWcuNDXOTQxhn1Iw/ccsuffvxjdgxdB/mhFQO09JSaqnZ5YkJetFM+TJ0Ad3ligiSWTlGn64l3zTHkpFTIQbZLeg82tfdR9MCvrpu5/dBnRZfOSAMJWM+WQeEWEH4AenkGFywgeSizF5EM/TfrRCjvuSk8TNSU2suXJyY+27Dhk3XrhAzUJ48zqYInB26IuDXt2jxRYd9+FJtsEMU3q6jk8mGsZ0Y9RbGOcAzfprpULl0lKgP1e1IZ+BEjXnL/1RSxqUK25sLAQPLIfvkWRHLVys0psbHOh1CsT9ato7aI2gKjPvfQokUiasOUI43D/cdf/3X/X/2VXFTR/ZJFWv6C3VBbm0VOxPDe0Y4Odpg8AU60nIba2rQhHkLePNUweY0CErBrF77a3Vxbcs2db/YPF106I1zAknwQOfn3lLP4IvMt967pbq79/Kb5PVsG6XWlWyVEi3RLXiZcIPxR2mfRpBnirLF6Pa1oOnpLSTnECAR1ob48dMjUORPvNm0TZ87IujXU1naqt5da33TW+MmTYrxEOIjYqhl0omrrY3B5YuJYZyd5t4RIMCNOhm9wwQJRsKG2NuoUyoHdn23YQJdFrFFL5VddOpYQR/WLG8K+2/sxURHmNV5Qvuin0jVJ8nSJxylqYYQg0WKPTMlGenrkVS1Er+VUb6/w2lGx7XEoKqpXWe1+EeJpie0koLz+/PTTwklDqYkZkOK5kuWNXLV+aZgYAqRXr2fLINlYmoCUooDF++yyhUkCxrRB/oP+Vv8QWI5xOT2VFLSIYNCeLYPyCrMUzic+3SSWCRc2UX796FlU98uaYfqVtU9FT8IkbMLCynM5abSZ3lv5e/Bik8PDKFnRJDzV2yuv70eNTfFiq90gCjYTTVq2TjklQkML+UxuFXGJsjFSA7vrV8YwhPNH2FC6fWIitthOrlwpmxg1JkI8MKl3zSnZeA5JCnY4uXJlKsNy4gGIms5IT89QW5sQdRHvLm+nenvF7aMninnt6kqf247ckxMyybpfhLqMclRYr1F9/I53dVEjlR0gXwrxmluc9gJhQ9IaSHPJNFBmGjAB69kymLwkge4LlmKP5Q873wpYPGlxOaYkArZ+x1Bwpb1GosWOlD0A4pWjdcG1giQ0w3QWi6ajJ17uA8mPeKj+1a94nMR7JbpQomGoFpVMjHwKvWNy41H0fkQ/gww9uQ3Z8lGycuQTD0ntDGaM5MBuutpDixaJe6qVN7mO8k1hG+uIHO/q0j4tCXF3GKqIiI8kKiigxybFsHhxa9izJxoB4oC6rs8dinpzs/P8n1i+XNv5VtWaPZ9aOY+0He/qEtrjYhy0JkVroEyb8LK8uOsYGdgl19zZ3Vz7P2/+RyoXM1sBIyosYKEdYdkmyo+seBbVR1lr/bWJyw80+b5MNlS2sPJcTtlHf3LlSm3rkpsG6Zg/P/20e4OUtT1lKylXJPmyFBkh21Dh0mEXRGtifFmG/FuHqg8Fpsc13UYAk8kUU3aEnh/7W6++j8Jpb2ldyU9s8i00U9qOdXYK8/Jm/zAZ2F9dN7O7ufbkxnRC20z+Q/sfdsIFjDkV/RWwtW/11wvlT3v3fjB/fv/cuYfffffbnR9+eGDNmv65c/fNnn1g1aoj+/cXWEKZgd/8Zl9LC2398+bVP/pI/EQV+WD+fHknACAthK04sGpVVOOQ3KSsfatfFrD2p/5v6CnDw+HjZC5ylbKAmf7rkYDNmLmsu7n2079vL0ksjS/jugCAYinKVoj1fBf+4L7u5tryVW+lkmzeApaWStnlJ3kKduijAHff8euSCBgAAJQZJmAPP/avqSSbrYA1XQlBNG10gva/2p8i7UmSgh0IGAAAuHNk5HwWAha4Bc3HD6OPQSQtySgFO0LANg98kl0uAABQDUbOjZFZvr/2cHdz7ecL1xZdIiOJBKz86hVIAlbmFb0AAKAkMAGb98AzRZfISNIeWPmZe1tHd3NtxsxlEDAAAHCBBOynf9/e3Vy7//443/zLh+oLGDUips9+AgIGAAAukIAJ91XRxTECAQMAADCJKZ1bIWClAAIGAACRmLZsZ1N7X8uMru7m2pzbHx0dK+lqLw0kYAdOfFF0WQAAwAPmrN7T1N4nljEqrfGsvoD9/Kb53c212txnRs6NFV0WAADwAPokmBCw0s5Bqr6A0Vy8m+9bBwEDAAAX1u8Yamrvq819pru59rO/W5DWF1VSBwIGAABgEpsHPmlq7xOfs1+8cSD8nCKAgAEAAJjEgRNfyAI2Z3U6X1RJHQgYAACASYyOTTS19934wAvdzbX2G+6Z0rm16BLpqb6A/fJv7u5urt3ws42nR8eLLgsAAPjBlM6t1z/0cndz7VfXzWxq7ytnJH31BYy+yfajR/+t6IIAAIA3zFm9RxawckbSN4SAPfHdWwc+/H9FFwQAALxh8caBqx7Z1N1cW3rVrU3tfeWMpK++gB3t6Ki3tk6cOVN0QQAAwBt6tgw2tfd1N9e6m2tN7X2r+sooExAwAAAAnDf7h2UBK2ckvX8CFvWLzCeWLx9atOjyRBlHIAEAoJxQJH37Dfd0N9duuXfNXU/tTp5mpK8tu+CZgAnpyuFLmAAA0LCcHh1vau+bMXMZLcaRPJJeSFeKGgYBAwAAoGFK59ar295YetWtS6+69dqFrwrvF9umLdvp4mCEgEHAAAAgJx58tr+pvY8+6NEyo8skYI7WGAIWR8CGh4frAAAAIvLilv9oau/729bnKJTDst1fezjUFEPA0AMDAAAvgYBBwAAAwEsgYEEQPYweAABAGWj0MHoAAACAgIABAADwEggYAAAAL4GAAQAA8BIIGAAAAC+BgAEAAPCSKgvYLIV0E1czSjF9ljKqYEpczSjF9FnKqIIpcTWjFNMPMi5/gCo4Z5FpFWJQWQHTXtwUr7hIij03aaVvSg1V0CaFKrhkEbozYfoZVSHr8geoQpT0Q3fmCQQsafqwOy5ZhO5MmD6q4JJF6M6E6ftrOlEF9/RDd+YJBCxp+rA7LlmE7kyYPqrgkkXozoTp+2s6UQX39EN35kllBSzI3u/Pks3iXqIK7omLPSmmr+aCKtgTF3tSTD/IuPwBqhA9iyyqEIMqCxgAAIAKU2UBy7PJk1t7JOtcsrtKGWWRdfoiC21eXqSvZudX+uzmZnQLcsgia3ORv0UqvBNWWQHTXtkUL3fW6UfKt7Tpa3Ulo7uQRfqmZLOoQg4an5F1yyF99kfg7V0O3VnmLPJPPxQIWEnTD/y3O4FyQWZd6Wf4kn5QIQHLKPF80ldT9vQuh+4sbRY5mIsYQMBKmn4OWRRShYza5hmlH+Ro2jLVgGCyozL1xDNNHwJWhixyqEIMKitgQSXGwLQG2qP0c8gi/yp4lz5L3Lv01VfM9yyyMxdZW7zQPTlTZQEDAABQYSouYBVoO6MKhaefQxaoQuHp55AFqpA6FRcwAAAAVQUCBgAAwEsaS8Cy7vDm0KFGFQpPP4csUIXC0089CzWwIrs4kYyyyKEKUYGA+ZR+DlmgCmXIAlUoPP10s9Aa/dTVJdMscqhCDCorYGpEabpxpVmnn0MWqEIZskAVCk8/hyxYUrMymDCXdRY5VCEGVRYwx53lTD+HLFCFMmSBKhSefg5ZqEllocGZZpFDFWJQWQELsp92l3X6OWSBKpQhC1Sh8PRzyAJVyIIqCxgAAIAK01gClnV7IYf2CKpQePo5ZIEqFJ5+DlmgCsmBgPmUfg5ZoAplyAJVKDz9HLJAFZJTWQHTBxUhMirH9HPIAlUoQxa+p59DFqhCRlRZwBx3ljP9HLJAFcqQBapQePo5ZIEqZERlBSyoREwOqlB4+jlkgSoUnn4OWaAKWVBlAQMAAFBhIGAAAAC8BAIGAADASyBgAAAAvAQCB4oB8wAABclJREFUBgAAwEsgYAAAALwEAgYAAMBLIGAAAAC8BAIGAADASyBgAAAAvAQCBgAAwEsgYAAAALwEAgYAAMBLIGAAAAC8BAIGAADASyBgAAAAvAQCBgAAwEsgYAAAALwEAgYAAMBLIGAgmDVrluW/PlKBKmRKg1+fBq9+lYCAgXABmzVrlnan/bBZEo55mU7X7rekkFyS3U+RSxJa36g7A/N1cEe9VqZ7F7vwlkTiFZUlGC81x1yAv0DAQBCECUnoMeph9l9d8nUsmEtGmRqsGDlGFYbQX+0HuJQwYeGjJuKYuEVxY2cE9aoSEDAQBNHNmSoekeTNklFaCmevgrZpb+rryHvUA+xV06YTeq6KvWvCUlb/a78+CQuvTUQtmykd0061tGr62lJZbp+pUo7ngrIBAfOD06PjS3oPNrX3pbgt3jhwZOS8yMJi0Uymyv0UF7sZmqapJIwYmap/WMy0qcDaXEx201QMe14u5VdPDD03YeEtCUZ9itRiyLc1tOKRHqeojyIoIRAwP2j7/f501Yu2u57aLbJwV44kQuWy39HKuJczXQEzWdVQDdD+bcrFUk3HOtpF3fJ31MJrM7UUw0WWTCW0n6JmZ69+6LnaaoLyAAHzg7ue2p2FgE1dul1kEWpS7VaJHWZKzbI/1ODaS6X+NzRT9W/1FEeTajpS3eliuFUsZXavlEs6MQpvKYz9foVeB9PBjrVgJTeVx/KTNjVQHiBgftA/dHbasp3pqteUzq2vvH9CzsVuxezvuf2wSFY+9HiXjByPcVFWxwK4JBsYLGYhApZW4S0FS13AHI/Rls0ib6FFBeUEAga+xWLdXNrUqq2U2+yW/e4CJp9uL7P8X22OloIFilnUnsuO1NZXm6Na+FBbaSkq26kWRlseU/FiFF6buCVllz0upQqtuKnkaqVCCxaAUgIBA5MwGbjkyRZlBRzztZvIHMghU20Wflnn2KX1q5rAEQgYmERGAlYg7gJWbHOb9RiyKAwEDFQMCBgAAAAvgYABAADwEggYAAAAL4GAAQAA8BIIGAAAAC+BgAEAAPASCBgAAAAvgYABAADwEggYAAAAL4GAAQAA8BIIGAAAAC+BgAEAAPASCBho3AV8GxZPr4+nxQbZAQED4QKmXRY99DCXjzlZ/mtalF39YpOaQnJJdj9F/XZU6JdZIq0Kn3xxevVame5d7MJbEolX1Bi/ggYEAgaCIPGXcNXD7L+65OtYMJeMMjV8MXKMKgyhv9oPcClhwsJHTSRh4gAQEDAQBNHNmSoekeTNklFaCmevgrajYOrryHvUA+xV06YTeq6KqajalNX/2q9PwsJrE1HLZkrHlLh6jD1B08UBFQYCBr7BYtFMpsr9FBe7GZqmqSSMGJmqf1jMtKnAdg2w1zTU2poODi2n6ZrYCxCp8JYEoz5FpsRjPz+g2kDAvOH066/XW1tT3D59/nk5fXflSCJULvtd0o9UznQFjImlu4Bp/zblYqmmYx3tom75O2rhtZlaimG6gHK+lueEHW9JDVQeCJg3nFi+PF0BO9rRIafvLhUm4ygfZjFAkdJ0L5X639BM1b/VU0LPtR+p7rQYbguWMrtXyiWdGIW3FMZ+v+zXQXs72E+hzwOoNhAw8C12K2Y3GfbDIln50ONdMnI8xkVZHQvgkmxgML6FCFhahbcULImAWRJxTB9UHggY+BaLdXNpU6u2Um6zW/a7C5h8ur3M8n+1OVoKFihWVXuuKmBqstoc1cKHml1LUdlOtTDa8piKF6Pw2sQtKYfuUX+1VNySWgCqDgQMTMJk4JInW5RBcczXYuXzIYdMtVmU3NCXvHigWCBgYBIZCViBuAtYsS131vnIojAQMFAxIGAAAAC8BAIGAADASyBgAAAAvAQCBgAAwEsgYAAAALwEAgYAAMBLIGAAAAC8BAIGAADASyBgAAAAvAQCBgAAwEsgYAAAALykXq9/5+OPP64DAAAAXvHxxx//f9GK/2VnbgXIAAAAAElFTkSuQmCC)
Read more about the backup to NUL on this system here:
http://sql-sasquatch.blogspot.com/2014/08/why-read-bytessec-valleys-in-sql-server.html
There are eight equally sized database files, each file on its own LUN. When these LUNs are associated with their own Windows drive letters, 'dbcc checkdb with physical_only' with maxdop 4 looks like this.
![](data:image/png;base64,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)
What if this same database is attached accessing the files via mount points rather than individual drive letters? (Windows Server 2012 allows mount points to have drive letters simultaneously associated with them.) In this case, trace flag 2549 has been set so that each database file should be considered on its own drive path, rather than the default behavior of considering only each distinct Windows drive letter to be a separate drive path.
![](data:image/png;base64,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)
Yikes!!! Read throughput is way down, and elapsed time is much longer. There's a particular stretch of time that is especially intriguing, highlighted below.
![](data:image/png;base64,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)
Huhh. For a significant period of time, all of the read bytes are coming from one LUN at a time. Lets just skip over the hours this completely confused me, and the email I sent to my colleagues complaining that things didn't make sense anymore :-)
Lets get right to the part where I decided to run 'dbcc checkdb with physical_only' against the exact same database, without trace flag 2549 enabled.
So with or without trace flag 2549, read throughput of 'dbcc checkdb with physical_only' looks nearly identical... and both look extremely different from the same operation when the database files are each accessed via their own drive letter.
Its because SQL Server 2014 RTM is ignoring trace flag 2549. And that's a shame. If there are ANY databases out there that I really want for checkdb to complete, its those which are so large that they must use mount points due to running out of Windows drive letters.
My plea to Microsoft is to enhance the checkdb/checktable read planning, rather than simply fixing the regression. I think this behavior is too important to relegate to a trace flag - leave it a trace flag and it seems vulnerable to being left off test plans. With the advent of sys.dm_io_virtual_file_stats, there's no need for checkdb/checktable to guess which files are on separate LUNs: SQL Server knows.
*****
So maybe you are curious about the sections highlighted in yellow above, where large amounts of data are being read from one drive at a time when the database files are accessed via mount points. It kinda makes sense since SQL Server checkdb is thinking "well, looks like its all on the C drive, so have to plan all reads as if going through a single disk service queue."
But if that was all there was to it... wouldn't other large portions of the checkdb look similar? Well... first of all, just wait til I post some graphs from adding trace flag 2562!! :-) But also, consider the highlighted portion below in the "good" graph from accessing all files via their own Windows drive letters.
![](data:image/png;base64,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)
Recall how checkdb during the checktable phase batches hobts - taking a table with all its hobts until the total count approaches but doesn't exceed 512. After extensive testing with checktable against individual tables, I'm convinced all the yellow highlighted areas are parts of a batch which happen to include a highly contiguous, minimally fragmented ~500 gb table which includes a varchar(8000). I'll leave that explanation for another day.
*****
*Kevin Closson is a performance engineer active in blogging (http://kevinclosson.net/) and on Twitter (@kevinclosson).
Many of his blog posts are related to Oracle, typically running on Linux x86 servers and pursuing maximum throughput at low latency ("low latency commercial computing"). But even if you primarily deal with AIX on IBMPower, or primarily deal with SQL Server... I still recommend checking out his stuff. I read Kevin's blog and many others, even if they are not directly related to my current projects, to learn new testing and analysis methods I can apply to the platforms and projects I am working on.
https://connect.microsoft.com/SQLServer/feedback/details/982532/sql-server-2014-rtm-ignores-trace-flag-2549
Full disclosure: This post reports behavior observed on Microsoft SQL Server 2014 - 12.0.2000.8 (X64). This is SQL Server 2014 RTM. I believe the behavior represents a significant regression in "dbcc checkdb with physical_only", thus I expect it may change soon. When that happens, I will update this post with a link to the kb article addressing such. This post is a followup to a previous post found here:
http://sql-sasquatch.blogspot.com/2014/08/sql-server-2014-mount-points-checkdb.html
Running integrity checks on relational database data is important. Its so important that I feel pretty strongly that it should be included in a lot more performance and benchmark scenarios than it currently is.
Kevin Closson* often points out two things which I fully agree with - the following is loose paraphrase:
1. A platform that can service OLTP workload at high volume with great performance can probably service almost any workload at high performance.
2. If you think you have an exclusively sequential workload at the storage device level, you're probably wrong.
Still... integrity checks are important. Database backups are important. Neither of them are random workflows from the database perspective - certainly not in the same way that user-driven workflow can be considered random. So... just because your system achieves super-awesome response times at high levels of transactional throughput, I'm not willing to assume that integrity check or backup on the system is optimized. You don't know until you know, and integrity checks and backups are both very important things to know. OK... enough soapbox.
I'm going to present the events and graphs here in an order different than they occurred. I'm doing this for two reasons: 1) I think it will make the behavior and its import more clear 2) I think I look smarter if I pretend that I performed the tests in the order that they are most easily explained, and skip the bumbling in-between that occurred as I struggled to understand exactly what was happening.
First, using a SQL Server backup to NUL is often proposed as a means to profile read behavior of a system. I think its a fine tool to include in disk behavior profile of a system - and doing so can give a strong start to optimizing backups on the system. So I got this system... 2.25 TB database, backup to NUL in 1 hour, 8 minutes, 59 seconds.
Read more about the backup to NUL on this system here:
http://sql-sasquatch.blogspot.com/2014/08/why-read-bytessec-valleys-in-sql-server.html
There are eight equally sized database files, each file on its own LUN. When these LUNs are associated with their own Windows drive letters, 'dbcc checkdb with physical_only' with maxdop 4 looks like this.
What if this same database is attached accessing the files via mount points rather than individual drive letters? (Windows Server 2012 allows mount points to have drive letters simultaneously associated with them.) In this case, trace flag 2549 has been set so that each database file should be considered on its own drive path, rather than the default behavior of considering only each distinct Windows drive letter to be a separate drive path.
Yikes!!! Read throughput is way down, and elapsed time is much longer. There's a particular stretch of time that is especially intriguing, highlighted below.
Huhh. For a significant period of time, all of the read bytes are coming from one LUN at a time. Lets just skip over the hours this completely confused me, and the email I sent to my colleagues complaining that things didn't make sense anymore :-)
Lets get right to the part where I decided to run 'dbcc checkdb with physical_only' against the exact same database, without trace flag 2549 enabled.
So with or without trace flag 2549, read throughput of 'dbcc checkdb with physical_only' looks nearly identical... and both look extremely different from the same operation when the database files are each accessed via their own drive letter.
Its because SQL Server 2014 RTM is ignoring trace flag 2549. And that's a shame. If there are ANY databases out there that I really want for checkdb to complete, its those which are so large that they must use mount points due to running out of Windows drive letters.
My plea to Microsoft is to enhance the checkdb/checktable read planning, rather than simply fixing the regression. I think this behavior is too important to relegate to a trace flag - leave it a trace flag and it seems vulnerable to being left off test plans. With the advent of sys.dm_io_virtual_file_stats, there's no need for checkdb/checktable to guess which files are on separate LUNs: SQL Server knows.
*****
So maybe you are curious about the sections highlighted in yellow above, where large amounts of data are being read from one drive at a time when the database files are accessed via mount points. It kinda makes sense since SQL Server checkdb is thinking "well, looks like its all on the C drive, so have to plan all reads as if going through a single disk service queue."
But if that was all there was to it... wouldn't other large portions of the checkdb look similar? Well... first of all, just wait til I post some graphs from adding trace flag 2562!! :-) But also, consider the highlighted portion below in the "good" graph from accessing all files via their own Windows drive letters.
Recall how checkdb during the checktable phase batches hobts - taking a table with all its hobts until the total count approaches but doesn't exceed 512. After extensive testing with checktable against individual tables, I'm convinced all the yellow highlighted areas are parts of a batch which happen to include a highly contiguous, minimally fragmented ~500 gb table which includes a varchar(8000). I'll leave that explanation for another day.
*****
*Kevin Closson is a performance engineer active in blogging (http://kevinclosson.net/) and on Twitter (@kevinclosson).
Many of his blog posts are related to Oracle, typically running on Linux x86 servers and pursuing maximum throughput at low latency ("low latency commercial computing"). But even if you primarily deal with AIX on IBMPower, or primarily deal with SQL Server... I still recommend checking out his stuff. I read Kevin's blog and many others, even if they are not directly related to my current projects, to learn new testing and analysis methods I can apply to the platforms and projects I am working on.
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