Friday, February 29, 2008

Christian Kleinerman: SQL Server 2008 for Developers



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SQL2008ForDevelopers.wmv 66c4e9f1-5953-4ee4-8ec0-4bb5a84cfc66 -1.4700416 good 1.49845835 christian 4.0270417 group manager 8.7155 database 14.40212505 developers 16.56184375 interested 19.21964585 give you 20.9993646 sneak peek 24.12364585 sql server 2008 27.24938545 more than cover 29.31227085 some of the 31.5614063 high level 34.6245834 continued to invest 37.3738959 t sql 39.46750005 continued 41.84453125 clr integration 47.7522917 sql server 2008 51.8142709 how store data 55.15719795 rows and columns 57.9389792 semi structured 59.78256255 data 61.6280938 different types 64.0991146 spatial data 66.00470835 model 67.4425209 how sort 69.22051045 sql server 71.9434167 location aware data 75.0675521 sales people 78.6904688 who is closest salesperson 82.4755417 relationships 86.0996667 two different points 89.22644795 couple of example 94.44464585 very cool mashups 98.38121875 virtual earth 101.94488545 other 104.60138545 semi structured 107.8182292 traditional tsql 109.88307295 xml 111.94856255 developers 114.57118755 looking xquery 118.6343646 adding clause 121.50769795 people 123.35343755 interested 125.3209167 property 127.53981255 sparse columns 132.5102813 going on 135.0413125 database 136.4481771 engine 138.2024375 outside 139.9517084 other things 141.47819795 ado.net 143.421 enhancements 145.79226045 entity framework 149.35776045 focused 152.8289271 inside database engine 157.26300005 wanted lots of demos 160.63876045 most time 162.6998542 think 164.0757292 first thing 165.6116042 show 168.79607295 areas 170.16982295 sql server 172.01625005 long time 176.0147292 sql management studio 180.0788542 2008 version 182.08044795 build 184.2674375 256 186.7032396 out in mid February 190.2076667 end of February 194.01712505 typing a query 198.33019795 intellisense 201.80057295 resources 204.1444792 department 206.0198542 where 208.9274792 department id 212.39422915 run query 215.1753125 very simple things 217.8644792 asking for 220.8014688 clr integration 223.8348125 sql server 2005 227.1141459 managed code 229.61569795 continue 231.3028021 tsql 233.14626045 way to show 235.9928542 continue to invest 238.11669795 tsql 239.74138545 developer 241.80533335 delighters 244.42827085 initialize 246.8681042 same line 251.55528125 it is there 254.30744795 compound assignment 257.7112188 += 1 259.6493438 simple select 263.2768125 run this batch 265.24363545 see works 267.52582295 very simple 269.8396146 delighters 273.49594795 compound assignment 277.4630417 regular programming 279.90157295 languages 281.8419167 questions 284.4334688 intellisense 286.09206255 tables 289.02844795 on views 290.8415521 yes 293.46578125 mostly around 296.00001045 per statement 299.1856771 current build 301.96951045 select statements 305.31469795 apply tables and views 307.56077085 and 308.53253125 working 309.68732295 providing 312.97031255 insert update delete 316.030875 not fit 319.37426045 wrapping release 323.2824792 ddl statements 326.8446563 select one 328.97046875 favorite 333.1281563 temp tables 336.7226667 intellisense 339.5009063 don’t know 342.25525005 at 344.7537188 completion list 346.8801042 scoped 348.6292292 variable 350.5689584 one area 352.78617715 specific scope 356.7540938 answer yes 359.5688646 real reason 362.6624584 sql server scoping 369.3811146 lot of reason 372.13226045 legacy 374.44412505 application 376.66415625 don’t break 381.57127085 visible throughput module 385.2274479 intellisense 387.9771667 expect to work 392.57044795 stored procedure 398.07005215 parameter intellisense 401.4494271 not right now 404.29048965 list of different 407.79192715 incremental step 412.3250521 working on this 414.48218755 slowly enable 417.44705215 programming languages 420.63853125 support intellisense 426.1087188 before fancier data models 431.32605215 semi structured data 435.01507295 among top requested 437.92307295 capabilities 441.1396771 sexy to demo 444.9863438 knew data types 448.42019795 four new data typed 452.9250417 sql server 455.76865625 date time 458.077625 small date time 460.58018755 date only 464.48658335 trim the 466.70408335 time portion 468.7083125 such work 471.0198646 table inside 476.7686146 columns 481.4274792 new data types 483.73794795 old 487.3298542 date 491.30206255 use database 494.05189585 try to 497.27250005 declare variable type date 501.3971667 birthdate column 504.1143438 compare it 458.71190625 date only 460.5226771 data type 463.1789792 left all work 465.9310417 trim time portion 470.4939375 table inside 478.0539688 employees 481.2133021 declare 483.18127085 columns 484.8693021 date 487.49500005 hierarchy 491.43436465 use database 492.9050313 try 494.49658335 to declare 497.37063545 variable for 499.9955417 date 501.93552085 conversion 504.77744795 date type 507.8439896 results not so interesting 511.2177917 execution plan 515.3731042 going to query 517.24813545 processing 518.5287813 avoid 519.96943755 scans 522.2476771 million 523.90568755 row table 525.3439792 sitting 526.65814585 long time 528.2513438 complete 530.53052085 create index 532.59388545 column 534.1864167 birthdate 536.84612505 run same query 539.79753125 previous releases 543.18853125 date time data type 545.6582813 lost 547.2854896 lose 548.533375 track 549.94131255 fact 551.7201875 unable 553.78620835 use index 556.252625 index key 558.34890625 lookup 561.2858125 straight parts 563.63062505 contain 565.34794795 specific values 567.4446146 faster 569.13295835 response time 571.06638545 date 573.47530215 time only 577.57001045 date time offset 580.31768755 both 582.59989585 time zone offset 584.8498542 in sync 588.57156255 shipped 590.22602085 with 592.4740313 visual studio 2008 596.34863545 joint effort 599.4154896 developers 601.8226667 vb or c# 605.7311563 exactly represented 608.79082295 know 612.1968021 jump through lot of hoops 616.10212505 operations client 618.04325005 server 620.5123438 designed together 625.2606146 through ado.net stack 628.26377085 base class 629.855 library 632.2327188 run date and time 635.45280215 comments 637.9807709 creativity of name 642.4536667 date time 643.6689167 with 646.4196875 additional semantics 649.23420835 increased 650.82575 precision 651.9209792 range 653.14069795 application 655.82642715 compatibility 657.8605938 old 659.82869795 still there 664.8610729 convert data structures over 668.67086465 updating changing 670.4869896 column 672.08037505 alter table 675.23807295 date time 678.10919795 take care 679.92532295 heavy lifting 682.98657295 another 685.39344795 data type 689.8635417 topic 692.6466146 hierarchy id 695.61319795 new data type 700.3334688 this 701.64664585 modeling 703.39494795 hierarchies 706.3665625 lots of applications 709.9598438 think hr table 712.55342715 employees 715.39727085 manager 717.8357292 folders files 722.7127084 hierarchical nature 726.2759792 sql server modeled 729.08820835 column here 731.0532813 manager id 733.77493755 reflecting back 736.14887505 to column 737.55530215 queries 738.84033335 how do I 740.9629271 everyone 744.0259167 under bill gates 747.1202292 write application 749.18411465 recursive 750.99526045 functional 753.3719792 procedure 756.1225938 inside sql server 759.2170417 stored procedure 761.71508335 recursion 764.27850005 queries 765.78063545 common 769.12201045 significantly easier 773.25007295 hierarchy id 775.40457295 data type 778.2479167 empty node 781.56184375 two string method 785.2803542 very familiar 787.8734584 leveraging 790.40546875 infrastructure 792.9394688 to implement 795.90803125 user defined type 798.2204792 methods 800.0302917 run method 802.9103125 employee node 805.6899584 column 807.5959167 expression 810.3176146 hierarchy 812.94034375 root ceo 815.28512505 fictitious 818.06632295 slash one 822.69220835 work 824.94423965 different parts 827.00612505 change 829.2527917 more interesting part 832.6938125 typical query 836.0057292 someone called 838.7260313 very simple query 841.94556255 david bradley 846.0375938 method 850.3833646 =1 from 852.28756255 external table 855.1969792 very very quickly 858.1323646 everyone 862.5395209 recursive queries 865.1975417 simplicity 867.88371875 high performance 870.57364585 results 872.60321875 tree node 874.16657295 client 876.9468959 type on client 879.63427085 methods available 882.7613334 hierarchy id 889.04302085 very cool 891.76138545 another area 894.1363438 always hear about 896.69964585 query language 899.23346875 fantastic 902.41896875 querying data 905.51431255 some of things 906.9836667 done 908.98306255 extension 912.3599688 sql query 916.61026045 2006 standard 920.36202085 table called sales 924.36057295 state 925.3299792 city 926.95173965 sales amount 930.29595835 group by 931.7668334 state 933.2061146 city 934.8905313 sum of sales 937.70492715 sale date 941.51743755 what want 944.4569688 subtotals 947.3318542 all sale dates 953.51877085 cube rollup 956.6781667 all possible 959.2702292 subtotals 963.55070835 introduced 965.61601045 values 966.92833335 total 970.2390521 all state=florida 974.0835834 regardless 975.71151045 total 979.30300005 city=Miami 983.2741146 Miami 985.86963545 make sense 990.11807295 always be florida 995.2769896 grouping sets 1001.64940625 sale data 1007.21325005 treated together 1009.9020417 run this 1011.8389063 only subtotals 1014.40051045 per sale date 1016.99920835 combination 1018.84102085 city state 1020.9658542 unique key 1023.9678021 possible values 1027.4675834 unique combination 1030.40445835 city and state 1034.59220835 use for totaling 1037.1245417 aggregation 1039.34256255 people 1042.00198965 building applications 1046.0305417 appreciate a lot 1049.2815938 grouping 1051.18525005 restriction 1053.8145 cant group 1057.40794795 even expression 1061.00300005 calculated values 1065.8779167 doesn’t change rules 1069.3469271 types to be comparable 1072.12723965 old legacy 1075.8803542 wouldn’t want to be 1079.5369063 all other data types 1083.97238545 aggregation 1087.44258335 dynamic sql with this 1090.78726045 we don’t like 1093.16102085 dynamic sql 1095.78588545 features 1098.9445313 fewer and fewer 1103.0099896 danger sql injection 1106.00556255 if use 1107.9128334 grouping 1110.07189585 will work 1112.13263545 ideally don’t have to 1114.9452917 another are 1118.6972917 new dml statement 1122.0099271 more elaborate 1123.8531667 extensions 1126.3544167 based on ANSI 1128.32158335 standard 1135.60196875 merge statement 1143.6397709 upsert statement 1148.6701042 insert update delete merge 1151.5752813 modify 1154.54452085 simple 1156.13976045 id and name 1159.26468755 insert three values 1163.89014585 destination table 1165.8585521 id and name 1168.8908438 source table 1172.3297188 data warehouse 1175.5789688 know data 1177.9550938 three rows 1180.95452085 no rows destination 1183.45538545 merge 1185.76663545 specify destination 1189.2052813 using 1190.61219795 source 1193.5835521 series 1198.42256255 join condition 1200.89487505 sql server compare 1202.95905215 rows 1204.6751667 source table 1206.7681146 destination 1208.45918755 table 1210.5840938 exists or don’t 1214.39389585 c.id 1216.77173965 =d.id 1220.89687505 here have different 1223.8042188 when matched 1225.4587813 then 1228.74078125 row and destination 1231.3366459 found 1233.0532709 when matched 1235.92848965 do an update 1238.4939688 set d.name 1241.3363334 to c.name 1244.05583335 also give 1245.71227085 instruction 1247.77663545 not matched 1250.8687292 then insert 1253.1505 specify 1257.14931255 id of source 1260.3105625 c.id name of source 1265.62218755 add expressions 1268.0583542 logic 1269.27719795 update 1271.1855417 only sales 1276.06165625 salesperson 1277.99688545 crazy 1279.21663545 want 1281.4043646 matched and 1284.74963545 include expression 1288.12515625 join condition 1290.52951045 run this 1292.8414688 three rows 1295.21956255 destination 1296.9364167 all values 1299.3433646 part 1301.34470835 insert clause 1304.12470835 modify data 1308.5318646 id2 not doubling 1311.90962505 exact 1315.0341146 sync 1318.25238545 some rows 1319.7503542 existed 1322.0039688 don’t update 1324.91248965 final extension 1328.5040417 fourth row to source 1335.7232396 four tables 1338.8802188 three 1340.8187917 additional 1343.06752085 when source 1345.6958542 not matched 1347.75538545 then 1348.72806255 delete 1351.9747917 fit in 1353.3194688 source table 1356.81856255 make two tables identical 1361.16369795 four rows 1363.5402084 affected 1366.35157295 three rows each 1369.82168755 wanted to 1372.63357295 destination 1379.04127085 exist 1383.0109688 doesn’t exist 1385.1680521 if condition 1387.5395938 doesn’t match 1390.1670938 change condition 1392.98108335 how to compare 1395.26088545 pretty 1396.3889063 much 1398.98193755 rows and destination 1402.35725005 not matched 1405.0771875 very powerful 1407.48155215 longer 1410.1691459 inside sql server 1413.57758335 single statement 1418.10880215 lot of operations 1423.267625 touching data only once 1428.2994271 if exists then begin 1433.2964792 stored procedures 1437.26975005 all logic 1438.73388545 single 1443.1431042 optimized 1447.17713545 around large amounts 1450.11270835 of data 1452.2049688 performance 1455.30270835 tools for 1457.23914585 data importing 1459.8644063 data warehousing 1463.55132295 merge operations 1466.86588545 integration 1468.8653646 services 1470.74509375 inside 1473.24014585 discussion 1476.49302085 out of the box 1478.6803438 very least 1480.92956255 get not 1482.5546146 inside 1484.3048542 packages 1486.39863545 more efficient 1490.83768755 around a 1495.46020835 beyond relational them 1499.64919795 one capabilities 1503.1200209 unstructured data 1507.52448965 pretty much file data 1511.49357295 some tables 1514.5272396 should file 1516.7766146 file system 1518.87298965 depends 1521.08971875 where want to 1523.9364792 management 1525.6242292 performance 1527.3136667 programming 1529.24934375 file stream 1533.37350005 use the 1535.3098021 program model 1536.6857396 want 1537.65658335 tsql 1538.9672188 win32 1541.5912084 sql server 1545.06023965 files in filesystem 1547.46777085 managed 1549.5309271 by sql server 1551.7822396 back up 1553.7844063 restore 1555.6568542 everything 1557.47232295 open file 1559.0642084 win32 1565.52602085 scenarios 1569.27661465 lets walk through 1572.77580215 photo gallery 1575.2762917 previously 1576.77758335 url 1578.99357295 over unc 1582.77538545 to fileserver 1587.1218125 creating user type 1590.0908542 data type 1592.15348965 filestream 1593.93531255 attribute 1596.2168021 existing type 1600.40583335 table thing 1603.1551563 I can insert data 1606.55912505 set values 1608.43442715 filestream 1611.18820835 select out 1613.06065625 open it 1614.6546667 filesystem 1616.7817188 go and specify 1618.6575938 syntax 1620.0347709 ado.net 1621.87480215 give filename 1624.06170835 fileopen 1626.31402085 filestream 1629.1889063 managed code 1632.09358335 coincidentally 1636.0664271 class called 1639.40962505 managed filestream 1641.4384375 class 1642.7506667 open close 1645.1594688 pulling value 1648.2542917 location filestream 1651.0636667 how does 1653.2845209 select * to 1657.03870835 returning 1660.69807295 varbinary max 1663.09777085 blob 1666.66243755 if want 1668.06951045 name 1669.413 to open path 1671.8194896 have 1673.94383335 intrinsic 1676.31973965 select 1680.1636563 go into 1681.47669795 details 1683.2572917 show 1684.3534167 enable 1685.94478125 database 1690.69582295 alter database 1693.3206042 filegroup 1696.00996875 contains filestream 1698.29206255 data 1702.25971875 on a database basis 1706.66727085 folder all files 1710.0736563 inherit 1713.7928646 database permissions 1718.2628438 doesn’t have permission 1722.3569063 inherit permissions 1727.2934688 go and 1729.8279792 specify 1731.3242292 managed 1734.0139792 by sql server 1736.10852085 all access 1738.8561771 are redirected 1741.48400005 sql server 1744.29642715 kernel mode 1747.13905215 driver filter 1750.7669792 actual permissions 1754.98390625 setting this up 1757.01718755 hoster 1759.2059167 sql server 2008 1763.1752396 kernel mode driver 1767.73858335 setup 1770.42815625 ask 1771.95588545 want or not 1775.86568755 ask in setup itself 1779.4590209 in all versions 1782.67589585 including express 1787.20981255 internal debate 1790.0205938 alter database 1791.89895835 add file 1793.52115625 path open 1796.1782292 c demos 1798.7434792 empty 1801.49095835 create this 1805.0231459 file folder 1808.1488959 filestream data 1810.89850005 this point 1813.1202396 use this database 1815.55756255 create table 1817.5870834 mediaclips 1819.9314792 varbinary max 1822.5268021 filestream 1824.1527917 run this 1827.15023965 insert row into 1829.83862505 table 1831.77532295 message chairman 1835.9345313 select * from dbo 1839.5882292 mediaclips 1841.5290417 one row 1842.9989792 column 1844.81114585 media clip 1847.43544795 inserted 1851.71750005 datalength 1855.8418438 mediaclip column 1859.87470835 show in a minute 1863.0624063 how populated 1866.00102085 show some of the things 1869.09426045 launch 1872.65796875 around world 1875.8149792 next month 1877.7839063 show the 1879.6250417 live mashup 1883.16171875 application 1886.59469795 upload video clip 1889.3797292 browse file 1891.3161667 video file 1893.2856042 2MB 1895.0660521 open it 1898.7561667 inserting happened 1901.5988959 sql server 1903.50493755 code 1905.75402085 run query 1907.88228125 2MB 1910.0374063 code use 1913.0370938 managed code 1914.88114585 used to 1916.57058335 insert 1918.85032295 filestream data 1923.50750005 mediahelper file 1928.32046875 just show 1931.2578542 programming filestream 1933.978125 win32 1935.38538545 model 1938.10177085 insertion of file 1943.48076045 iwn32 rights command 1947.01263545 insert 1948.6045521 benefits 1950.66864585 stream video 1958.7604896 more interesting thing 1961.3542917 font 1965.6384167 some calls 1968.60712505 sp1 1972.82748965 orcas 1974.89145835 codenames 1980.8245417 vs2008 1983.6398542 code where 1987.3299688 open sql filestream 1990.38995835 filepath value 1992.39133335 query 1994.5171563 download 1997.6442292 select mediaclip 2000.70265625 pathname 2002.14465625 time 2004.6434063 play video clip 2008.21052085 sql server 2010.73706255 display 2012.83238545 stored 2022.24012505 other interesting thing 2024.7692188 not show 2026.05181255 backup 2029.14467715 all files backed 2032.11505215 up together 2034.7401563 additional folder 2037.39805215 backup 2039.7409167 restore database 2042.96313545 all content same place 2046.8979271 biggest pains 2048.60369795 url 2050.2905938 unc path 2052.88715625 keeping in sync 2054.8852917 hard 2056.7895834 heavy lifting 2059.26238545 takes file 2061.7286563 filesystem 2065.72984375 puts into 2069.41914585 sql backup file 2072.57126045 jump into 2074.4504792 couple of other 2079.66823965 new capability 2084.01183335 how to pass large volumes 2088.63843755 table value parameters 2092.67132295 order in application 2097.3904271 pass stored 2102.42270835 how declare 2104.7631146 stored procedure 2108.4195313 xml representations 2112.51527085 2000 parameters 2115.79764585 commonly not used 2119.54746875 whoever tried this 2123.39395835 largely appreciate 2127.05002085 new table types 2131.7059792 think about 2133.52045835 aliased 2137.9898021 temporary table definition 2143.51769795 defined as I int 2146.27059375 simplest one 2148.61412505 demo purposed 2151.77039585 type 2154.17802085 simple table 2157.1799063 single integer 2160.36625005 procedure 2164.5209167 tvpinsert 2169.08751045 type parameter 2172.1817917 inside 2175.52263545 select * from @p 2179.4632917 create this 2182.6505209 stored procedure 2186.71108335 execute 2189.2451667 stored procedure 2192.1828438 reads from p 2194.33842715 inserts into t 2196.40476045 read 2198.6836563 have a value 2202.52757295 significantly more interesting 2206.46383335 client application 2210.65534375 ado.net application 2215.3415313 ported some snippets 2219.6552188 easier on typing 2225.0027813 sql server 2008 2227.28033335 say it 2229.53369795 create 2231.8151146 new console application 2234.7220417 c# 2239.22144795 several snippets 2242.25234375 typical headers 2244.75426045 ado.net stack 2249.75406255 simple standard 2254.50383335 code 2257.0980417 establishing 2259.5976667 connection 2262.3483959 interesting 2265.0360417 create parameter 2268.06850005 command 2269.7260938 invoke 2271.8161771 stored procedure 2275.72507295 usp_tvpinsert 2279.9427813 parameter name 2283.44395835 interesting additions 2288.16601045 latest .net framework 2292.226 type structure 2295.1650938 tells stack 2298.1027917 it is is complex 2302.85269795 one of two things 2305.4478021 ienumerable 2308.1360313 much simpler 2312.16463545 only small number 2314.6679063 larger number 2317.5131667 interface 2320.1689167 data table 2321.8230417 new 2323.2950417 give it a name 2325.85969795 column name 2328.98088545 I and 2332.1081042 declare data table 2335.0452084 add new table 2338.20182295 int I 2341.48119795 adding 2343.23220835 100 rows 2345.23640625 on the client 2348.17257295 table of 100 rows 2351.61269795 set breakpoint 2354.61038545 execute 2357.60988545 step through 2360.2674896 management studio 2362.48587505 query 2364.23888545 refresh this 2367.20663545 101 rows 2369.2694792 inserted 2372.5807188 data types 2375.9579584 two things 2384.05188545 spatial capabilities 2388.0850521 part of 2389.77192715 sql server 2391.7484688 adds 2394.5837917 two new data types 2397.4283959 geometry 2399.55362505 geography 2403.14750005 geometry location 2407.5877188 planar coordinates 2411.77376045 coordinates 2413.5568021 meaning 2415.4941875 application 2419.744625 virtual earth 2421.77587505 anything 2424.93161465 geometry library 2428.4321563 location data 2430.8361771 variables 2433.4312813 declared 2435.93157295 geometry type 2438.62162505 standard method 2442.99788545 polygon 2447.5902396 say select this 2450.55926045 nice application 2454.46878125 have it redrawn 2458.25258335 first column 2461.0609688 querying 2465.1215209 fillcolor 2469.344375 runt his 2473.4397917 sql server 2476.59676045 this queries 2478.75244795 directly 2481.15732295 multiple drawing 2484.7870625 two geometries 2488.28414585 show that 2490.2204792 very basic 2492.255875 geometry 2494.6264792 operations 2496.69200005 compute 2498.00214585 union 2500.3793125 two operations 2502.59856255 select 2506.53607295 unioned 2509.50382295 shape 2 2513.03656255 combination of two shapes 2516.59962505 intersection 2518.9147813 sql server 2523.09864585 yellow red 2529.0072813 slightly more complex 2532.19900005 coordinates 2534.76201045 table 2536.66682295 coastline 2538.4158021 country name 2540.9223334 australia 2543.3847813 query 2545.88401045 geography 2548.54162505 coastline 2551.44727085 additional 2553.60682295 background 2557.4818021 generate buffer 2560.6034688 around 2563.6076771 specify width 2566.2641667 space 2571.63906255 sql server 2575.2945521 open gis 2577.5139792 standard 2580.0774688 geographic data 2583.01693755 produces results 2586.01576045 geometry data type 2588.79833335 geography 2592.7052292 latitude longitude 2597.3292292 very interesting 2599.79801045 applications 2602.5476875 create 2605.08163545 simple mashup 2608.9580938 map of US 2612.2046042 zip code 2615.26932295 draw region 2618.1162917 select id 2621.67614585 sql table I have 2626.1779896 gives me 2627.89698965 Redmond 2629.8341771 campus is 2634.39532295 actual shape 2638.7416771 queries 2642.7112396 very interesting 2650.4922917 how get the 2652.30665625 locations 2654.1192188 zip codes 2656.3370625 sql server 2659.30530215 providing geo data 2666.1197084 get data 2669.11986465 some of them 2675.7756667 public 2678.74601045 database 2681.65221875 zip codes 2684.6522292 coordinates 2687.6249271 goes to database 2690.4357813 geography 2693.2775417 rendering 2702.78038545 sensor database 2705.12594795 datasets 2708.5968021 congressional districts 2712.84203125 zip codes 2716.84650005 idea of zip code 2722.84732295 planar 2727.47208335 geography 2730.9737188 surface of earth 2733.56557295 however 2736.06631255 sql server anything 2738.56744795 interesting 2740.3468542 bits back 2742.3497813 interesting things 2745.38102085 click up here 2747.5047188 sql server 2749.4725521 zip codes 2752.78943755 intersecting that point 2757.0703959 latitude longitude 2760.03975005 took a while 2762.94420835 something 2764.6617917 like convert 2769.6025417 passed virtual earth 2773.13320835 all items 2776.07169795 where geometry 2779.57112505 intersects 2782.2941771 parameter 2784.94727085 whole 12 seconds 2787.7601667 spatial index 2790.38783335 click here 2792.69639585 use very simple 2795.69968755 technology 2799.63686465 set of geometries 2803.91718755 clicking on here 2807.91926045 significantly faster 2811.85663545 12 seconds 2815.5769167 sub second operations 2818.7637917 index 2820.0135938 doing 2822.5164896 know sort of 2826.3269792 based coordinates 2828.9869584 specify 2831.4552084 grids 2833.51667715 what does is 2836.83043755 takes whole space 2839.45430215 breaks 2841.3611667 different layers 2844.2360313 four layers 2847.4258438 which values 2852.8380417 lie within 2855.3474271 region 2858.44171875 within this group 2861.7859167 do not need to search 2864.50215625 determine 2867.0364167 next one 2868.56812505 four times 2870.7296667 very quickly 2873.7857396 set of possible 2878.3837292 then actual operation 2882.6017813 narrow space fast 2886.13393755 intersection 2888.72636465 other operations 2891.8822292 lots of things 2894.13512505 unions of types 2897.47682295 buffers of types 2901.5089792 power of query processor 2905.13539585 space 2909.01100005 variation 2911.2605313 management 2913.7627188 query 2917.4498021 get it plotter 2920.23027085 into map 2925.5746042 table all columns 2930.42019795 pushpin 2934.0465938 title 2942.7644688 there is a query 2946.6100938 human resources 2950.8299375 sales representatives 2954.8601459 address line 2958.26837505 return the shape 2961.5171563 virtual earth 2964.67412505 rest of context 2968.0500209 all other column 2973.39182295 spatial capabilities 2976.82944795 sales total 2981.0217813 specific employee id 2984.61402085 column sales 2987.5536042 run query again 2990.5219896 pushpin 2992.61627085 additional 2994.39820835 field sales 2997.11756255 start to also say 2999.58568755 sql server 3002.52395835 top three 3005.55709375 decreasing 3009.43068755 sales order 3011.4010313 top three 3014.08644795 salespeople 3017.9301667 graphically 3021.1822396 operations 3024.4959896 coastline 3028.026875 buffer around this 3031.64981255 shape with buffer 3034.33794795 around this 3036.62053125 convert string 3040.74538545 generate 3043.7776667 circle around it 3048.12205215 region 3050.74750005 sized by sales 3055.9378542 probably how people use it 3059.6286563 sales amount 3061.99808335 reason 3064.3141563 fixed number 3067.81338545 some reason 3072.03245835 circles in Canada is larger 3078.3762084 either a bug 3081.4085938 artifact 3085.2192084 latter 3088.4722917 because of curvature 3092.8775 way larger 3097.03475 switched 3100.22575 virtual earth 3104.78726045 exact same data 3108.1629167 one in Canada 3111.9127396 all same size 3117.75633335 geomashups 3121.6629271 interesting applications 3125.94662505 spatial business 3130.2287292 location data 3133.5711146 all information modeled 3137.9168438 very last one 3140.3549792 one minute 3143.8227292 sparse columns 3149.1371667 sparse columns 3153.66789585 simplest definitions 3157.41782295 tables 3159.76020835 lot of empty space 3164.6042188 sql server stores nulls 3168.23270835 efficiently 3170.76215625 scenario 3173.2934167 property 3176.3914167 set of employees 3179.6371563 different 3183.9509063 address 3186.57788545 all information 3189.4855938 product catalog 3193.57903125 size specified 3196.5469792 overall 3199.55001045 sparsely 3202.6760209 exactly about 3205.23771875 scenario 3207.17338545 change model 3209.2678959 application 3212.01870835 vertical table 3215.55081255 how to transfer 3218.1723542 leave 3219.73826045 application 3221.7403646 developers 3225.39519795 illustration purposes 3228.64569795 create table 3233.36537505 say keep it simple 3237.1497292 a is name 3239.8357813 varchar 3244.05223965 just for time reasons 3246.7114167 sparse 3248.83552085 id 3250.5855834 int 3252.27358335 sparse 3256.33884375 name value pair 3259.99331255 modeling question 3262.68088545 column set 3265.77495835 column called c 3268.08914585 type xml 3270.0277917 column set 3271.6813542 for 3274.6219167 all sparse 3277.74646875 columns 3282.27501045 insert 3284.46627085 statement 3287.5272188 name 3288.65381255 id 3290.2795625 values 3292.87451045 will do just 3296.33931255 id 3297.4053438 null 3300.62395835 second rule 3302.9372084 doesn’t have name 3306.0946771 does have id 3309.4079271 two rows 3311.59388545 column set 3314.9684271 redefined 3318.5654167 select * 3321.8130521 only column set 3326.62607295 xml representation 3329.59469795 not null 3331.47207295 if 3333.3176771 large 3334.7522396 number of 3336.8794271 this way 3339.31656255 using column set 3341.75414585 not null 3344.22257295 insert 3346.06950005 into a 3348.4123542 c column 3351.0990313 set specific value 3353.9123542 xml says 3356.9441042 id of seven 3361.47480215 insert this 3365.6351667 select name 3368.75823965 id 3372.1957917 all three columns 3374.5707917 xml 3377.3526042 null a 3380.8546667 set of values 3383.3547292 really need 3388.63476045 query choose 3390.41762505 columns 3392.75926045 size color 3394.72927085 t shirts 3397.22887505 really need 3400.70015625 different 3403.32670835 parsing xml 3411.23008335 specific column 3416.51252085 non null 3419.76300005 values xml 3422.20475 ado team 3424.6707188 interesting 3427.2343021 make it in this 3430.515875 very soon 3436.3282292 thank you 3440.7054167 check

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