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• Ability to Choose From Multiple SQLite DBs for Iphone Application

  - by Mark

  I am working on the design and implementation of an iPhone application ( a newbie, but I am getting the hang of it) where a person can download specific contact information about teachers based on their majors. The information is currently on different edu websites. And I have exported the information into SQLite databases. Is it possible to develop the application that when it is first initiated, it can give the user the option of which particular SQLite database they want for their application? Or if not, would it be better to merge all the DBs into one DB, and allow the user the option of downloading specific information from the SQLite db. I see that the db's can be downloaded into an app, but have yet to find a solution where there can be an option to download from different SQLite dbs. Thanks!

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• Foreign key definition in sqlite

  - by Hab

  Cant add foreign key constraint in sqlite ...........

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• Shrinking TCP Window Size to 0 on Cisco ASA

  - by Brent

  Having an issue with any large file transfer that crosses our Cisco ASA unit come to an eventual pause. Setup Test1: Server A, FileZilla Client <- 1GBPS - Cisco ASA <- 1 GBPS - Server B, FileZilla Server TCP Window size on large transfers will drop to 0 after around 30 seconds of a large file transfer. RDP session then becomes unresponsive for a minute or two and then is sporadic. After a minute or two, the FTP transfer resumes, but at 1-2 MB/s. When the FTP transfer is over, the responsiveness of the RDP session returns to normal. Test2: Server C in same network as Server B, FileZilla Client <- local network - Server B, FileZilla Server File will transfer at 30+ MB/s. Details ASA: 5520 running 8.3(1) with ASDM 6.3(1) Windows: Server 2003 R2 SP2 with latest patches Server: VMs running on HP C3000 blade chasis FileZilla: 3.3.5.1, latest stable build Transfer: 20 GB SQL .BAK file Protocol: Active FTP over tcp/20, tcp/21 Switches: Cisco Small Business 2048 Gigabit running latest 2.0.0.8 VMware: 4.1 HP: Flex-10 3.15, latest version Notes All servers are VMs. Thoughts Pretty sure the ASA is at fault since a transfer between VMs on the same network will not show a shrinking Window size. Our ASA is pretty vanilla. No major changes made to any of the settings. It has a bunch of NAT and ACLs. Wireshark Sample No. Time Source Destination Protocol Info 234905 73.916986 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131981791 Win=65535 Len=0 234906 73.917220 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234907 73.917224 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234908 73.917231 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131984551 Win=64155 Len=0 234909 73.917463 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234910 73.917467 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234911 73.917469 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234912 73.917476 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131988691 Win=60015 Len=0 234913 73.917706 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234914 73.917710 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234915 73.917715 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131991451 Win=57255 Len=0 234916 73.917949 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234917 73.917953 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234918 73.917958 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131994211 Win=54495 Len=0 234919 73.918193 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234920 73.918197 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234921 73.918202 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131996971 Win=51735 Len=0 234922 73.918435 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234923 73.918440 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234924 73.918445 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131999731 Win=48975 Len=0 234925 73.918679 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234926 73.918684 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234927 73.918689 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132002491 Win=46215 Len=0 234928 73.918922 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234929 73.918927 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234930 73.918932 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132005251 Win=43455 Len=0 234931 73.919165 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234932 73.919169 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234933 73.919174 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132008011 Win=40695 Len=0 234934 73.919408 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234935 73.919413 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234936 73.919418 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132010771 Win=37935 Len=0 234937 73.919652 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234938 73.919656 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234939 73.919661 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132013531 Win=35175 Len=0 234940 73.919895 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234941 73.919899 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234942 73.919904 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132016291 Win=32415 Len=0 234943 73.920138 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234944 73.920142 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234945 73.920147 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132019051 Win=29655 Len=0 234946 73.920381 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234947 73.920386 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234948 73.920391 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132021811 Win=26895 Len=0 234949 73.920625 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234950 73.920629 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234951 73.920632 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234952 73.920638 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132025951 Win=22755 Len=0 234953 73.920868 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234954 73.920871 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234955 73.920876 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132028711 Win=19995 Len=0 234956 73.921111 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234957 73.921115 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234958 73.921120 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132031471 Win=17235 Len=0 234959 73.921356 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234960 73.921362 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234961 73.921370 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132034231 Win=14475 Len=0 234962 73.921598 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234963 73.921606 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234964 73.921613 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132036991 Win=11715 Len=0 234965 73.921841 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234966 73.921848 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234967 73.921855 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132039751 Win=8955 Len=0 234968 73.922085 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234969 73.922092 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234970 73.922099 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132042511 Win=6195 Len=0 234971 73.922328 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234972 73.922335 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234973 73.922342 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132045271 Win=3435 Len=0 234974 73.922571 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234975 73.922579 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234976 73.922586 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132048031 Win=675 Len=0 234981 75.866453 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 675 bytes 234985 76.020168 1.1.1.1 2.2.2.2 TCP [TCP ZeroWindow] ftp-data ivecon-port [ACK] Seq=1 Ack=132048706 Win=0 Len=0 234989 76.771633 2.2.2.2 1.1.1.1 TCP [TCP ZeroWindowProbe] ivecon-port ftp-data [ACK] Seq=132048706 Ack=1 Win=65535 Len=1 234990 76.771648 1.1.1.1 2.2.2.2 TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] ftp-data ivecon-port [ACK] Seq=1 Ack=132048706 Win=0 Len=0 234997 78.279701 2.2.2.2 1.1.1.1 TCP [TCP ZeroWindowProbe] ivecon-port ftp-data [ACK] Seq=132048706 Ack=1 Win=65535 Len=1 234998 78.279714 1.1.1.1 2.2.2.2 TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] ftp-data ivecon-port [ACK] Seq=1 Ack=132048706 Win=0 Len=0

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• Shrinking Windows Size to 0 on Cisco ASA

  - by Brent

  Having an issue with any large file transfer that crosses our Cisco ASA unit come to an eventual pause. Setup Test1: Server A, FileZilla Client <- 1GBPS - Cisco ASA <- 1 GBPS - Server B, FileZilla Server TCP Window size on large transfers will drop to 0 after around 30 seconds of a large file transfer. RDP session then becomes unresponsive for a minute or two and then is sporadic. After a minute or two, the FTP transfer resumes, but at 1-2 MB/s. When the FTP transfer is over, the responsiveness of the RDP session returns to normal. Test2: Server C in same network as Server B, FileZilla Client <- local network - Server B, FileZilla Server File will transfer at 30+ MB/s. Details ASA: 5520 running 8.3(1) with ASDM 6.3(1) Windows: Server 2003 R2 SP2 with latest patches Server: VMs running on HP C3000 blade chasis FileZilla: 3.3.5.1, latest stable build Transfer: 20 GB SQL .BAK file Protocol: Active FTP over tcp/20, tcp/21 Switches: Cisco Small Business 2048 Gigabit running latest 2.0.0.8 VMware: 4.1 HP: Flex-10 3.15, latest version Notes All servers are VMs. Thoughts Pretty sure the ASA is at fault since a transfer between VMs on the same network will not show a shrinking Window size. Our ASA is pretty vanilla. No major changes made to any of the settings. It has a bunch of NAT and ACLs. Wireshark Sample No. Time Source Destination Protocol Info 234905 73.916986 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131981791 Win=65535 Len=0 234906 73.917220 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234907 73.917224 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234908 73.917231 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131984551 Win=64155 Len=0 234909 73.917463 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234910 73.917467 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234911 73.917469 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234912 73.917476 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131988691 Win=60015 Len=0 234913 73.917706 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234914 73.917710 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234915 73.917715 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131991451 Win=57255 Len=0 234916 73.917949 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234917 73.917953 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234918 73.917958 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131994211 Win=54495 Len=0 234919 73.918193 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234920 73.918197 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234921 73.918202 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131996971 Win=51735 Len=0 234922 73.918435 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234923 73.918440 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234924 73.918445 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=131999731 Win=48975 Len=0 234925 73.918679 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234926 73.918684 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234927 73.918689 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132002491 Win=46215 Len=0 234928 73.918922 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234929 73.918927 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234930 73.918932 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132005251 Win=43455 Len=0 234931 73.919165 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234932 73.919169 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234933 73.919174 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132008011 Win=40695 Len=0 234934 73.919408 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234935 73.919413 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234936 73.919418 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132010771 Win=37935 Len=0 234937 73.919652 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234938 73.919656 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234939 73.919661 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132013531 Win=35175 Len=0 234940 73.919895 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234941 73.919899 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234942 73.919904 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132016291 Win=32415 Len=0 234943 73.920138 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234944 73.920142 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234945 73.920147 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132019051 Win=29655 Len=0 234946 73.920381 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234947 73.920386 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234948 73.920391 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132021811 Win=26895 Len=0 234949 73.920625 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234950 73.920629 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234951 73.920632 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234952 73.920638 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132025951 Win=22755 Len=0 234953 73.920868 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234954 73.920871 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234955 73.920876 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132028711 Win=19995 Len=0 234956 73.921111 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234957 73.921115 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234958 73.921120 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132031471 Win=17235 Len=0 234959 73.921356 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234960 73.921362 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234961 73.921370 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132034231 Win=14475 Len=0 234962 73.921598 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234963 73.921606 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234964 73.921613 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132036991 Win=11715 Len=0 234965 73.921841 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234966 73.921848 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234967 73.921855 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132039751 Win=8955 Len=0 234968 73.922085 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234969 73.922092 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234970 73.922099 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132042511 Win=6195 Len=0 234971 73.922328 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234972 73.922335 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234973 73.922342 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132045271 Win=3435 Len=0 234974 73.922571 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234975 73.922579 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 1380 bytes 234976 73.922586 1.1.1.1 2.2.2.2 TCP ftp-data ivecon-port [ACK] Seq=1 Ack=132048031 Win=675 Len=0 234981 75.866453 2.2.2.2 1.1.1.1 FTP-DATA FTP Data: 675 bytes 234985 76.020168 1.1.1.1 2.2.2.2 TCP [TCP ZeroWindow] ftp-data ivecon-port [ACK] Seq=1 Ack=132048706 Win=0 Len=0 234989 76.771633 2.2.2.2 1.1.1.1 TCP [TCP ZeroWindowProbe] ivecon-port ftp-data [ACK] Seq=132048706 Ack=1 Win=65535 Len=1 234990 76.771648 1.1.1.1 2.2.2.2 TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] ftp-data ivecon-port [ACK] Seq=1 Ack=132048706 Win=0 Len=0 234997 78.279701 2.2.2.2 1.1.1.1 TCP [TCP ZeroWindowProbe] ivecon-port ftp-data [ACK] Seq=132048706 Ack=1 Win=65535 Len=1 234998 78.279714 1.1.1.1 2.2.2.2 TCP [TCP ZeroWindowProbeAck] [TCP ZeroWindow] ftp-data ivecon-port [ACK] Seq=1 Ack=132048706 Win=0 Len=0

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• Android Jelly bean database is locked (code 5)

  - by mtraxdroid

  Im getting a database is locked (code 5) in my ListActivity the code works in the other versions of the Emulator but fails in the 4.1 version of the emulator E/SQLiteLog( 2132): (5) database is locked E/SQLiteDatabase( 2132): Failed to open database '/data/data/id.online.mydroid/databases/geo.db'. E/SQLiteDatabase( 2132): android.database.sqlite.SQLiteDatabaseLockedException: database is locked (code 5): , while compiling: PRAGMA al_mode E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteConnection.nativePrepareStatement(Native Method) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteConnection.acquirePreparedStatement(SQLiteConnection.java:882) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteConnection.executeForString(SQLiteConnection.java:627) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteConnection.setJournalMode(SQLiteConnection.java:313) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteConnection.setWalModeFromConfiguration(SQLiteConnection.java:287) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteConnection.open(SQLiteConnection.java:215) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteConnection.open(SQLiteConnection.java:193) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteConnectionPool.openConnectionLocked(SQLiteConnectionPool.java:463) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteConnectionPool.open(SQLiteConnectionPool.java:185) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteConnectionPool.open(SQLiteConnectionPool.java:177) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteDatabase.openInner(SQLiteDatabase.java:804) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteDatabase.open(SQLiteDatabase.java:789) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteDatabase.openDatabase(SQLiteDatabase.java:694) E/SQLiteDatabase( 2132): at android.app.ContextImpl.openOrCreateDatabase(ContextImpl.java:804) E/SQLiteDatabase( 2132): at android.content.ContextWrapper.openOrCreateDatabase(ContextWrapper.java:221) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteOpenHelper.getDatabaseLocked(SQLiteOpenHelper.java:224) E/SQLiteDatabase( 2132): at android.database.sqlite.SQLiteOpenHelper.getReadableDatabase(SQLiteOpenHelper.java:188) E/SQLiteDatabase( 2132): at id.online.mydroid.myDB.openForRead(myDB.java:158) E/SQLiteDatabase( 2132): at id.online.mydroid.mydroid.refreshCount(mydroid.java:207) E/SQLiteDatabase( 2132): at id.online.mydroid.mydroid.onResume(mydroid.java:525) Blockquote

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• Big Data Appliance X4-2 Release Announcement

  - by Jean-Pierre Dijcks

  Today we are announcing the release of the 3rd generation Big Data Appliance. Read the Press Release here. Software Focus The focus for this 3rd generation of Big Data Appliance is: Comprehensive and Open - Big Data Appliance now includes all Cloudera Software, including Back-up and Disaster Recovery (BDR), Search, Impala, Navigator as well as the previously included components (like CDH, HBase and Cloudera Manager) and Oracle NoSQL Database (CE or EE). Lower TCO then DIY Hadoop Systems Simplified Operations while providing an open platform for the organization Comprehensive security including the new Audit Vault and Database Firewall software, Apache Sentry and Kerberos configured out-of-the-box Hardware Update A good place to start is to quickly review the hardware differences (no price changes!). On a per node basis the following is a comparison between old and new (X3-2) hardware: Big Data Appliance X3-2 Big Data Appliance X4-2 CPU 2 x 8-Core Intel® Xeon® E5-2660 (2.2 GHz) 2 x 8-Core Intel® Xeon® E5-2650 V2 (2.6 GHz) Memory 64GB 64GB Disk 12 x 3TB High Capacity SAS 12 x 4TB High Capacity SAS InfiniBand 40Gb/sec 40Gb/sec Ethernet 10Gb/sec 10Gb/sec For all the details on the environmentals and other useful information, review the data sheet for Big Data Appliance X4-2. The larger disks give BDA X4-2 33% more capacity over the previous generation while adding faster CPUs. Memory for BDA is expandable to 512 GB per node and can be done on a per-node basis, for example for NameNodes or for HBase region servers, or for NoSQL Database nodes. Software Details More details in terms of software and the current versions (note BDA follows a three monthly update cycle for Cloudera and other software): Big Data Appliance 2.2 Software Stack Big Data Appliance 2.3 Software Stack Linux Oracle Linux 5.8 with UEK 1 Oracle Linux 6.4 with UEK 2 JDK JDK 6 JDK 7 Cloudera CDH CDH 4.3 CDH 4.4 Cloudera Manager CM 4.6 CM 4.7 And like we said at the beginning it is important to understand that all other Cloudera components are now included in the price of Oracle Big Data Appliance. They are fully supported by Oracle and available for all BDA customers. For more information: Big Data Appliance Data Sheet Big Data Connectors Data Sheet Oracle NoSQL Database Data Sheet (CE | EE) Oracle Advanced Analytics Data Sheet

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• Review: Data Modeling 101

  I just recently read “Data Modeling 101”by Scott W. Ambler where he gave an overview of fundamental data modeling skills. I think this article was excellent for anyone who was just starting to learn or refresh their skills in regards to the modeling of data.  Scott defines data modeling as the act of exploring data oriented structures.  He goes on to explain about how data models are actually used by defining three different types of models. Types of Data Models Conceptual Data Model  Logical Data Model (LDMs) Physical Data Model(PDMs) He further expands on modeling by exploring common data modeling notations because there are no industry standards for the practice of data modeling. Scott then defines how to actually model data by expanding on entities, attributes, identities, and relationships which are the basic building blocks of data models. In addition he discusses the value of normalization for redundancy and demoralization for performance. Finally, he discuss ways in which Developers and DBAs can become better data modelers through the use of practice, and seeking guidance from more experienced data modelers.

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• HTML5 data-* (custom data attribute)

  - by Renso

  Goal: Store custom data with the data attribute on any DOM element and retrieve it. Previously under HTML4 we used to use classes to store custom data, something to the affect of <input class="account void limit-5000 over-4999" /> and then have to parse the data out of the class In a book published by Peter-Paul Koch in 2007, ppk on JavaScript, he explains why and how to use custom attributes to make data more accessible to JavaScript, using name-value pairs. Accessing a custom attribute account-limit=5000 is much easier and more intuitive than trying to parse it out of a class, Plus, what if the class name for example "color-5" has a representative class definition in a CSS stylesheet that hides it away or worse some JavaScript plugin that automatically adds 5000 to it, or something crazy like that, just because it is a valid class name. As you can see there are quite a few reasons why using classes is a bad design and why it was important to define custom data attributes in HTML5. Syntax: You define the data attribute by simply prefixing any data item you want to store with any HTML element with "data-". For example to store our customers account data with a hidden input element: <input type="hidden" data-account="void" data-limit=5000 data-over=4999  /> How to access the data: account  -     element.dataset.account limit    -     element.dataset.limit You can also access it by using the more traditional get/setAttribute method or if using jQuery $('#element').attr('data-account','void') Browser support: All except for IE. There is an IE hack around this at http://gist.github.com/362081. Special Note: Be AWARE, do not use upper-case when defining your data elements as it is all converted to lower-case when reading it, so: data-myAccount="A1234" will not be found when you read it with: element.dataset.myAccount Use only lowercase when reading so this will work: element.dataset.myaccount

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• Master Data Management – A Foundation for Big Data Analysis

  - by Manouj Tahiliani

  While Master Data Management has crossed the proverbial chasm and is on its way to becoming mainstream, businesses are being hammered by a new megatrend called Big Data. Big Data is characterized by massive volumes, its high frequency, the variety of less structured data sources such as email, sensors, smart meters, social networks, and Weblogs, and the need to analyze vast amounts of data to determine value to improve upon management decisions. Businesses that have embraced MDM to get a single, enriched and unified view of Master data by resolving semantic discrepancies and augmenting the explicit master data information from within the enterprise with implicit data from outside the enterprise like social profiles will have a leg up in embracing Big Data solutions. This is especially true for large and medium-sized businesses in industries like Retail, Communications, Financial Services, etc that would find it very challenging to get comprehensive analytical coverage and derive long-term success without resolving the limitations of the heterogeneous topology that leads to disparate, fragmented and incomplete master data. For analytical success from Big Data or in other words ROI from Big Data Investments, businesses need to acquire, organize and analyze the deluge of data to make better decisions. There will need to be a coexistence of structured and unstructured data and to maintain a tight link between the two to extract maximum insights. MDM is the catalyst that helps maintain that tight linkage by providing an understanding about the identity, characteristics of Persons, Companies, Products, Suppliers, etc. associated with the Big Data and thereby help accelerate ROI. In my next post I will discuss about patterns for co-existing Big Data Solutions and MDM. Feel free to provide comments and thoughts on above as well as Integration or Architectural patterns.

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• How to Assure an Effective Data Model

  As a general rule in my opinion the effectiveness of a data model can be directly related to the accuracy and complexity of a project’s requirements. For example there is no need to work on very detailed data models when the details surrounding a specific data model have not been defined or even clarified. Developing data models when the clarity of project requirements is limited tends to introduce designed issues because the proper details to create an effective data model are not even known. One way to avoid this issue is to create data models that correspond to the complexity of the existing project requirements so that when requirements are updated then new data models can be created based any new discoveries regarding requirements on a fine grain level.  This allows for data models to be composed of general entities to be created initially when a project’s requirements are very vague and then the entities are refined as new and more substantial requirements are defined or redefined. This promotes communication amongst all stakeholders within a project as they go through the process of defining and finalizing project requirements.In addition, here are some general tips that can be applied to projects in regards to data modeling.Initially model all data generally and slowly reactor the data model as new requirements and business constraints are applied to a project.Ensure that data modelers have the proper tools and training they need to design a data model accurately.Create a common location for all project documents so that everyone will be able to review a project’s data models along with any other project documentation.All data models should follow a clear naming schema that tells readers the intended purpose for the data and how it is going to be applied within a project.

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• An SQLite/STDIN Conundrum, Specific to AIX

  - by mikfreedman

  Hi there! I'm been playing around with SQlite at work, specifically with trying to get the sqlite3 command line tool to accept stdin instead of a file. Sounds easy enough, on linux you can execute a command like: echo 'test' | sqlite3 test.db '.import /dev/stdin test' unfortunately - our machines at work run AIX (5 & 6) and as far as I can tell, there is no equivalent to the virtual file /dev/stdin. I managed to hack together an equivalent command that works on AIX using a temporary file. echo 'test' | cat - > /tmp/blah ; sqlite3 test.db '.import /dev/stdin test' ; rm /tmp/blah Now, does it need to use STDIN? isn't this temporary file thing enough? Probably, but I was hoping someone with better unix-fu had a more elegant solution. note: the data I would like to import is only provided via STDOUT, so that's what the echo 'test' command is all about

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• SQLite DB borked when opened on a different machine

  - by pruefsumme

  Hello, I'm using SQLite to store some data. The primary database is on a NAS (Debian Lenny, 2.6.15, armv4l) since the NAS runs a script which updates the data every day. A typical "select * from tableX" looks like this: 2010-12-28|20|62.09|25170.0 2010-12-28|21|49.28|23305.7 2010-12-28|22|48.51|22051.1 2010-12-28|23|47.17|21809.9 When I copy the DB to my main computer (Mac OS X) and run the same SQL query, the output is: 2010-12-28|20|1.08115035175016e-160|25170.0 2010-12-28|21|2.39343503830763e-259|-9.25596535779558e+61 2010-12-28|22|-1.02951149572792e-86|1.90359837597183e+185 2010-12-28|23|-1.10707273937033e-234|-2.35343828462275e-185 The 3rd and 4th column have the type REAL. Interesting fact: When the numbers are integer (i.e. they end with ".0"), there is no difference between the two databases. In all other cases, the differences are ... hm ... surprising? I can't seem to find a pattern. If someone's got a clue - please share!

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• SQL SERVER – Why Do We Need Data Quality Services – Importance and Significance of Data Quality Services (DQS)

  - by pinaldave

  Databases are awesome.  I’m sure my readers know my opinion about this – I have made SQL Server my life’s work after all!  I love technology and all things computer-related.  Of course, even with my love for technology, I have to admit that it has its limits.  For example, it takes a human brain to notice that data has been input incorrectly.  Computer “brains” might be faster than humans, but human brains are still better at pattern recognition.  For example, a human brain will notice that “300” is a ridiculous age for a human to be, but to a computer it is just a number.  A human will also notice similarities between “P. Dave” and “Pinal Dave,” but this would stump most computers. In a database, these sorts of anomalies are incredibly important.  Databases are often used by multiple people who rely on this data to be true and accurate, so data quality is key.  That is why the improved SQL Server features Master Data Management talks about Data Quality Services.  This service has the ability to recognize and flag anomalies like out of range numbers and similarities between data.  This allows a human brain with its pattern recognition abilities to double-check and ensure that P. Dave is the same as Pinal Dave. A nice feature of Data Quality Services is that once you set the rules for the program to follow, it will not only keep your data organized in the future, but go to the past and “fix up” any data that has already been entered.  It also allows you do combine data from multiple places and it will apply these rules across the board, so that you don’t have any weird issues that crop up when trying to fit a round peg into a square hole. There are two parts of Data Quality Services that help you accomplish all these neat things.  The first part is DQL Server, which you can think of as the hardware component of the system.  It is installed on the side of (it needs to install separately after SQL Server is installed) SQL Server and runs quietly in the background, performing all its cleanup services. DQS Client is the user interface that you can interact with to set the rules and check over your data.  There are three main aspects of Client: knowledge base management, data quality projects and administration.  Knowledge base management is the part of the system that allows you to set the rules, or program the “knowledge base,” so that your database is clean and consistent. Data Quality projects are what run in the background and clean up the data that is already present.  The administration allows you to check out what DQS Client is doing, change rules, and generally oversee the entire process.  The whole process is user-friendly and a pleasure to use.  I highly recommend implementing Data Quality Services in your database. Here are few of my blog posts which are related to Data Quality Services and I encourage you to try this out. SQL SERVER – Installing Data Quality Services (DQS) on SQL Server 2012 SQL SERVER – Step by Step Guide to Beginning Data Quality Services in SQL Server 2012 – Introduction to DQS SQL SERVER – DQS Error – Cannot connect to server – A .NET Framework error occurred during execution of user-defined routine or aggregate “SetDataQualitySessions” – SetDataQualitySessionPhaseTwo SQL SERVER – Configuring Interactive Cleansing Suggestion Min Score for Suggestions in Data Quality Services (DQS) – Sensitivity of Suggestion SQL SERVER – Unable to DELETE Project in Data Quality Projects (DQS) Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Data Quality Services, DQS

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• Welcome Oracle Data Integration 12c: Simplified, Future-Ready Solutions with Extreme Performance

  - by Irem Radzik

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 The big day for the Oracle Data Integration team has finally arrived! It is my honor to introduce you to Oracle Data Integration 12c. Today we announced the general availability of 12c release for Oracle’s key data integration products: Oracle Data Integrator 12c and Oracle GoldenGate 12c. The new release delivers extreme performance, increase IT productivity, and simplify deployment, while helping IT organizations to keep pace with new data-oriented technology trends including cloud computing, big data analytics, real-time business intelligence. With the 12c release Oracle becomes the new leader in the data integration and replication technologies as no other vendor offers such a complete set of data integration capabilities for pervasive, continuous access to trusted data across Oracle platforms as well as third-party systems and applications. Oracle Data Integration 12c release addresses data-driven organizations’ critical and evolving data integration requirements under 3 key themes: Future-Ready Solutions Extreme Performance Fast Time-to-Value       There are many new features that support these key differentiators for Oracle Data Integrator 12c and for Oracle GoldenGate 12c. In this first 12c blog post, I will highlight only a few:·Future-Ready Solutions to Support Current and Emerging Initiatives: Oracle Data Integration offer robust and reliable solutions for key technology trends including cloud computing, big data analytics, real-time business intelligence and continuous data availability. Via the tight integration with Oracle’s database, middleware, and application offerings Oracle Data Integration will continue to support the new features and capabilities right away as these products evolve and provide advance features. E    Extreme Performance: Both GoldenGate and Data Integrator are known for their high performance. The new release widens the gap even further against competition. Oracle GoldenGate 12c’s Integrated Delivery feature enables higher throughput via a special application programming interface into Oracle Database. As mentioned in the press release, customers already report up to 5X higher performance compared to earlier versions of GoldenGate. Oracle Data Integrator 12c introduces parallelism that significantly increases its performance as well. Fast Time-to-Value via Higher IT Productivity and Simplified Solutions:  Oracle Data Integrator 12c’s new flow-based declarative UI brings superior developer productivity, ease of use, and ultimately fast time to market for end users.  It also gives the ability to seamlessly reuse mapping logic speeds development.Oracle GoldenGate 12c ‘s Integrated Delivery feature automatically optimally tunes the process, saving time while improving performance. This is just a quick glimpse into Oracle Data Integrator 12c and Oracle GoldenGate 12c. On November 12th we will reveal much more about the new release in our video webcast "Introducing 12c for Oracle Data Integration". Our customer and partner speakers, including SolarWorld, BT, Rittman Mead will join us in launching the new release. Please join us at this free event to learn more from our executives about the 12c release, hear our customers’ perspectives on the new features, and ask your questions to our experts in the live Q&A. Also, please continue to follow our blogs, tweets, and Facebook updates as we unveil more about the new features of the latest release. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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• What really happens when I use varchar(10) in the sqlite command-line shell?

  - by romandas

  I'm messing around with SQLite for the first time by working through some of the SQLite documentation. In particular, I'm using Command Line Shell For SQLite and the SoupToNuts SQLite Tutorial on Sourceforge. According to the SQLite datatype documentation, there are only 5 datatypes in SQLite. However, in the two tutorial documents above, I see where the authors use commands such as create table tbl1(one varchar(10), two smallint); or create table t1 (t1key INTEGER PRIMARY KEY,data TEXT,num double,timeEnter DATE); which contain datatypes that aren't listed by SQLite, yet these commands work just fine. Additionally, when I ran .dump to see the SQL statements, these datatype specifications are preserved. So, what gives? Does SQLite keep a reference for any datatype specified in the SQL yet converts it behind the scenes to one of its 5 datatypes? Or is there something else I'm missing?

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• Integrating Nagios with a ticketing system/incident mnagement system

  - by sektor

  Is there a free ticketing system/incident management system which will help me in achieving the following? 1) If a service goes down then Nagios alerts the on-duty staff and pushes the status to some backend or DB as a ticket, say the initial status is "New". 2) The on-duty staff logs in through a frontend and acknowledges the new ticket by marking it as "In progress", so now the status of the ticket changes from "New" to "In progress". 3) If even after "n" number of minutes no person from on-duty staff has changed the ticket status to "In progress" then Nagios alerts the next level of contacts. Although if the on-duty staff has acknowledged the ticket then there is no need to alert the next level. 4) When the service comes up Nagios closes the ticket by marking it "Closed" Now I already have Nagios monitoring set up and currently it alerts by sending text messages and mails, what I'm looking for is some framework which only escalates the issue(alerts the second level) if the first level(on-duty staff) fails to respond to the initial alert. By "responding to the alert" I mean, the on-duty staff can login via some frontend and basically change the status to something like "Acknowledged" or "In progress".

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• Banshee encountered a Fatal Error (sqlite error 11: database disk image is malformed)

  - by Nik

  I am running ubuntu 10.10 Maverick Meerkat, and recently I am helping in testing out indicator-weather using the unstable buids. However there was a bug which caused my system to freeze suddenly (due to indicator-weather not ubuntu) and the only way to recover is to do a hard reset of the system. This happened a couple of times. And when i tried to open banshee after a couple of such resets I get the following fatal error which forces me to quit banshee. The screenshot is not clear enough to read the error, so I am posting it below, An unhandled exception was thrown: Sqlite error 11: database disk image is malformed (SQL: BEGIN TRANSACTION; DELETE FROM CoreSmartPlaylistEntries WHERE SmartPlaylistID IN (SELECT SmartPlaylistID FROM CoreSmartPlaylists WHERE IsTemporary = 1); DELETE FROM CoreSmartPlaylists WHERE IsTemporary = 1; COMMIT TRANSACTION) at Hyena.Data.Sqlite.Connection.CheckError (Int32 errorCode, System.String sql) [0x00000] in <filename unknown>:0 at Hyena.Data.Sqlite.Connection.Execute (System.String sql) [0x00000] in <filename unknown>:0 at Hyena.Data.Sqlite.HyenaSqliteCommand.Execute (Hyena.Data.Sqlite.HyenaSqliteConnection hconnection, Hyena.Data.Sqlite.Connection connection) [0x00000] in <filename unknown>:0 Exception has been thrown by the target of an invocation. at System.Reflection.MonoCMethod.Invoke (System.Object obj, BindingFlags invokeAttr, System.Reflection.Binder binder, System.Object[] parameters, System.Globalization.CultureInfo culture) [0x00000] in <filename unknown>:0 at System.Reflection.MonoCMethod.Invoke (BindingFlags invokeAttr, System.Reflection.Binder binder, System.Object[] parameters, System.Globalization.CultureInfo culture) [0x00000] in <filename unknown>:0 at System.Reflection.ConstructorInfo.Invoke (System.Object[] parameters) [0x00000] in <filename unknown>:0 at System.Activator.CreateInstance (System.Type type, Boolean nonPublic) [0x00000] in <filename unknown>:0 at System.Activator.CreateInstance (System.Type type) [0x00000] in <filename unknown>:0 at Banshee.Gui.GtkBaseClient.Startup () [0x00000] in <filename unknown>:0 at Hyena.Gui.CleanRoomStartup.Startup (Hyena.Gui.StartupInvocationHandler startup) [0x00000] in <filename unknown>:0 .NET Version: 2.0.50727.1433 OS Version: Unix 2.6.35.27 Assembly Version Information: gkeyfile-sharp (1.0.0.0) Banshee.AudioCd (1.9.0.0) Banshee.MiniMode (1.9.0.0) Banshee.CoverArt (1.9.0.0) indicate-sharp (0.4.1.0) notify-sharp (0.4.0.0) Banshee.SoundMenu (1.9.0.0) Banshee.Mpris (1.9.0.0) Migo (1.9.0.0) Banshee.Podcasting (1.9.0.0) Banshee.Dap (1.9.0.0) Banshee.LibraryWatcher (1.9.0.0) Banshee.MultimediaKeys (1.9.0.0) Banshee.Bpm (1.9.0.0) Banshee.YouTube (1.9.0.0) Banshee.WebBrowser (1.9.0.0) Banshee.Wikipedia (1.9.0.0) pango-sharp (2.12.0.0) Banshee.Fixup (1.9.0.0) Banshee.Widgets (1.9.0.0) gio-sharp (2.14.0.0) gudev-sharp (1.0.0.0) Banshee.Gio (1.9.0.0) Banshee.GStreamer (1.9.0.0) System.Configuration (2.0.0.0) NDesk.DBus.GLib (1.0.0.0) gconf-sharp (2.24.0.0) Banshee.Gnome (1.9.0.0) Banshee.NowPlaying (1.9.0.0) Mono.Cairo (2.0.0.0) System.Xml (2.0.0.0) Banshee.Core (1.9.0.0) Hyena.Data.Sqlite (1.9.0.0) System.Core (3.5.0.0) gdk-sharp (2.12.0.0) Mono.Addins (0.4.0.0) atk-sharp (2.12.0.0) Hyena.Gui (1.9.0.0) gtk-sharp (2.12.0.0) Banshee.ThickClient (1.9.0.0) Nereid (1.9.0.0) NDesk.DBus.Proxies (0.0.0.0) Mono.Posix (2.0.0.0) NDesk.DBus (1.0.0.0) glib-sharp (2.12.0.0) Hyena (1.9.0.0) System (2.0.0.0) Banshee.Services (1.9.0.0) Banshee (1.9.0.0) mscorlib (2.0.0.0) Platform Information: Linux 2.6.35-27-generic i686 unknown GNU/Linux Disribution Information: [/etc/lsb-release] DISTRIB_ID=Ubuntu DISTRIB_RELEASE=10.10 DISTRIB_CODENAME=maverick DISTRIB_DESCRIPTION="Ubuntu 10.10" [/etc/debian_version] squeeze/sid Just to make it clear, this happened only after the hard resets and not before. I used to use banshee everyday and it worked perfectly. Can anyone help me fix this?

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• The problem about use the exist sqlite database,

  - by flybirdtt

  I have a sqlite database, and i put this file in "assets" folder. The code like below, Pls help and tell what's wrong in this code, How to use my own sqlite database. public class DataBaseHelper extends SQLiteOpenHelper { private static String DB_PATH = "/data/data/com.SGMalls/databases/"; private static String DB_NAME = "mallMapv2.sqlite"; private SQLiteDatabase myDataBase; private final Context myContext; public DataBaseHelper(Context context) { super(context, DB_NAME, null, 1); this.myContext = context; } public void createDataBase() throws IOException { File dbDir = new File(DB_PATH); if (!dbDir.exists()) { dbDir.mkdir(); } boolean dbExist = checkDataBase(); if (dbExist) { } else { this.getReadableDatabase(); try { copyDataBase(); } catch (IOException e) { throw new Error("Error copying database"); } } close(); } private boolean checkDataBase() { SQLiteDatabase checkDB = null; boolean isnull=false; try { String myPath = DB_PATH + DB_NAME; checkDB = SQLiteDatabase.openDatabase(myPath, null, SQLiteDatabase.OPEN_READONLY); } catch (SQLiteException e) { // database does't exist yet. } if (checkDB != null) { isnull=true; checkDB.close(); } return isnull; } private void copyDataBase() throws IOException { InputStream myInput = myContext.getAssets().open(DB_NAME); String outFileName = DB_PATH + DB_NAME; OutputStream myOutput = new FileOutputStream(outFileName); byte[] buffer = new byte[1024]; int length; while ((length = myInput.read(buffer)) > 0) { myOutput.write(buffer, 0, length); } // Close the streams myOutput.flush(); myOutput.close(); myInput.close(); } public void openDataBase() throws SQLException { // Open the database String myPath = DB_PATH + DB_NAME; myDataBase = SQLiteDatabase.openDatabase(myPath, null, SQLiteDatabase.OPEN_READONLY); } @Override public synchronized void close() { if (myDataBase != null) myDataBase.close(); super.close(); } @Override public void onCreate(SQLiteDatabase db) { } @Override public void onUpgrade(SQLiteDatabase db, int oldVersion, int newVersion) { } } public class GetData { private static String DB_PATH = "/data/data/com.SGMalls/databases/mallMapv2.sqlite"; // private static String DB_NAME = "mallMapv2.sqlite"; public static ArrayList<Mall> getMalls() { ArrayList<Mall> mallsList = new ArrayList<Mall>(); SQLiteDatabase malldatabase = SQLiteDatabase.openDatabase(DB_PATH, null, SQLiteDatabase.OPEN_READONLY); String queryString="select id,title from malls order by title"; Cursor cursor=malldatabase.rawQuery(queryString, null); if(cursor!=null){ cursor.moveToFirst(); while(!cursor.isLast()){ Mall mall=new Mall(); mall.setMallid(cursor.getInt(0)); mall.setMallname(cursor.getString(0)); mallsList.add(mall); cursor.moveToNext(); } } malldatabase.close(); return mallsList; } } The error message: ERROR/Database(725): sqlite3_open_v2("/data/data/com.SGMalls/databases/ mallMapv2.sqlite", &handle, 1, NULL) failed 03-15 22:34:11.747: ERROR/AndroidRuntime(725): Uncaught handler: thread main exiting due to uncaught exception 03-15 22:34:11.766: ERROR/AndroidRuntime(725): java.lang.Error: Error copying database Thanks very much

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• [Silverlight] Suggestion – Move INotifyCollectionChanged from System.Windows.dll to System.dll

  - by Benjamin Roux

  I just submitted a suggestion on Microsoft Connect to move the INotifyCollectionChanged from System.Windows.dll to System.dll. You can review it here: https://connect.microsoft.com/VisualStudio/feedback/details/560184/move-inotifycollectionchanged-from-system-windows-dll-to-system-dll Here’s the reason why I suggest that. Actually I wanted to take advantages of the new feature of Silverlight/Visual Studio 2010 for sharing assemblies (see http://blogs.msdn.com/clrteam/archive/2009/12/01/sharing-silverlight-assemblies-with-net-apps.aspx). Everything went fine until I try to share a custom collection (with custom business logic) implementing INotifyCollectionChanged. This modification has been made in the .NET Framework 4 (see https://connect.microsoft.com/VisualStudio/feedback/details/488607/move-inotifycollectionchanged-to-system-dll) so maybe it could be done in Silverlight too. If you think this is justifiable you can vote for it.

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• Setup was unable to create a new system partition or locate an existing system partition

  - by PearlFactory

  Have got a new kickn server as new DEV machine It has got two 3ware 9650 Cached Controllers with 8 x 300gig Velociraptor Drives First Problem was the 9.5.1.1 drivers Had to press F8 as soon as the Win 2008 r2 server cd started to load. Once in Adavanced Startup options Disable Driver Signing options Next Issue was I got everything running and accidently selected wrong raid part to do install once I restarted All I would get after waiting the 10 mins for the reboot to start & loading the driver was "setup was unable to create a new system partition or locate an existing system partition"  Finally after about 1 hour I removed all drives apart from the 2 needed for system part on cont 0 deleted system part and recreated this RAID1 mirror. (ALso make sure all USB drives are out on boot..only add them when browsing  the driver to be added )  Restarted loaded driver selected install and Once system is up I will go back and add drives and new parts on both controllers AT least I did not get stuck for a day as is the norm..lol

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• Big Data – Final Wrap and What Next – Day 21 of 21

  - by Pinal Dave

  In yesterday’s blog post we explored various resources related to learning Big Data and in this blog post we will wrap up this 21 day series on Big Data. I have been exploring various terms and technology related to Big Data this entire month. It was indeed fun to write about Big Data in 21 days but the subject of Big Data is much bigger and larger than someone can cover it in 21 days. My first goal was to write about the basics and I think we have got that one covered pretty well. During this 21 days I have received many questions and answers related to Big Data. I have covered a few of the questions in this series and a few more I will be covering in the next coming months. Now after understanding Big Data basics. I am personally going to do a list of the things next. I thought I will share the same with you as this will give you a good idea how to continue the journey of the Big Data. Build a schedule to read various Apache documentations Watch all Pluralsight Courses Explore HortonWorks Sandbox Start building presentation about Big Data – this is a great way to learn something new Present in User Groups Meetings on Big Data Topics Write more blog posts about Big Data I am going to continue learning about Big Data – I want you to continue learning Big Data. Please leave a comment how you are going to continue learning about Big Data. I will publish all the informative comments on this blog with due credit. I want to end this series with the infographic by UMUC. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Partner Webcast - Focus on Oracle Data Profiling and Data Quality 11g

  - by lukasz.romaszewski(at)oracle.com

  Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:RO;} Partner Webcast Focus on Oracle Data Profiling and Data Quality 11g February 24th, 12am  CET   Oracle offers an integrated suite Data Quality software architected to discover and correct today's data quality problems and establish a platform prepared for tomorrow's yet unknown data challenges. Oracle Data Profiling provides data investigation, discovery, and profiling in support of quality, migration, integration, stewardship, and governance initiatives. It includes a broad range of features that expand upon basic profiling, including automated monitoring, business-rule validation, and trend analysis. Oracle Data Quality for Data Integrator provides cleansing, standardization, matching, address validation, location enrichment, and linking functions for global customer data and operational business data. It ensures that data adheres to established standards that are adaptable to fit each organization's specific needs.  Both single - and double - byte data are processed in local languages to provide a unique and centralized view of customers, products and services.   During this in-person briefing, Data Integration Solution Specialists will be providing a technical overview and a walkthrough.   Agenda ·         Oracle Data Integration Strategy overview ·         A focus on Oracle Data Profiling and Oracle Data Quality for Data Integrator: o   Oracle Data Profiling o   Oracle Data Quality for Data Integrator o   Live demoo   Q&A Delivery Format  This FREE online LIVE eSeminar will be delivered over the Web and Conference Call. Registrations   received less than 24hours  prior to start time may not receive confirmation to attend. To register , click here. For any questions please contact [email protected]. 

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• iPhone SDK / Core Data usage scenario, similar to GAE data store?

  - by boliva

  Hi all, I am currently rewriting a map based App which I wrote in the past, specifically for 2.2.1 devices. Originally I wrote it to make use of SQLite databases but I would like to try and migrate it over Core Data, now that it's available on 3.X (for which I am rewriting to). I am fairly experienced in iPhone/Obj-C development, SQL and server backend technologies, but I have never had the chance to work with Core Data so IDK really if it's the appropiate tool for what I am trying to accomplish. The App works on a limited area in a map over which there are about 4000 placemarks, with different kinds of icons and sizes. Of course not all 4000 placemarks are shown at once but only those currently visible in the map viewport, and depending on the zoom level. What I am doing right now is, after the user moves the map in any way (panning or zooming) I am requesting from the backend server the required information for the placemarks that would be visible given the viewport coordinates boundaries and zoom level, however the process isn't as smooth as I'd like (the backend is sending its response in XML and I am compressing it using gzip), it takes anywhere from 1 to 3 seconds to update the display of the placemarks after the user ends moving the map. What I would like to do is to prefetch all the placemarks data at the App launch and use it all through the app life time - I don't mind storing it for later use because the data should be dynamic. The way I would do it right now is, after retrieving all the data, to store it on an SQLite db which I would query later, whenever the user moves the map, to return only the placemarks inside the viewport coordinate boundaries and specific to a given zoom level. Now, the question itself is, if is it possible to use some more 'native', object driven way to carry this queries process, which got me thinking about Core Data and if it is in any way similar to what Google App Engine offers through its datastore where you can fetch a number of objects from the backend given a certain query or criteria, without resorting to an SQL query itself. Like I said before I don't have any experience on Core Data but I have a pretty deep understanding of Obj-C and iPhone development, as well as SQL databases. Any guides on how to achieve what I'm trying (if possible at all) would be greatly appreciated.

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• populate CoreData data model from JSON files prior to app start

  - by johannes_d

  I am creating an iPad App that displays data I got from an API in JSON format. My Core Data model has several entities(Countries, Events, Talks, ...). For each entity I have one .json file that contains all instances of the entity and its attributes as well as its relationships. I would like to populate my Core Data data model with these entities before the start of the App (otherwise it takes about 15 minutes for the iPad to create all the instances of the entities from the several JSON files using factory methods). I am currently importing the data into CoreData like this: -(void)fetchDataIntoDocument:(UIManagedDocument *)document { dispatch_queue_t dataQ = dispatch_queue_create("Data import", NULL); dispatch_async(dataQ, ^{ //Fetching data from application bundle NSURL *tedxgroupsurl = [[NSBundle mainBundle] URLForResource:@"contries" withExtension:@"json"]; NSURL *tedxeventsurl = [[NSBundle mainBundle] URLForResource:@"events" withExtension:@"json"]; //converting the JSON files to NSDictionaries NSError *error = nil; NSDictionary *countries = [NSJSONSerialization JSONObjectWithData:[NSData dataWithContentsOfURL:countriesurl] options:kNilOptions error:&error]; countries = [countries objectForKey:@"countries"]; NSDictionary *events = [NSJSONSerialization JSONObjectWithData:[NSData dataWithContentsOfURL:eventsurl] options:kNilOptions error:&error]; events = [events objectForKey:@"events"]; //creating entities using factory methods in NSManagedObject Subclasses (Country / Event) [document.managedObjectContext performBlock:^{ NSLog(@"creating countries"); for (NSDictionary *country in countries) { [Country countryWithCountryInfo:country inManagedObjectContext:document.managedObjectContext]; //creating Country entities } NSLog(@"creating events"); for (NSDictionary *event in events) { [Event eventWithEventInfo:event inManagedObjectContext:document.managedObjectContext]; // creating Event entities } NSLog(@"done creating, saving document"); [document saveToURL:document.fileURL forSaveOperation:UIDocumentSaveForOverwriting completionHandler:NULL]; }]; }); dispatch_release(dataQ); } This combines the different JSON files into one UIManagedDocument which i can then perform fetchRequests on to populate tableViews, mapView, etc. I'm looking for a way to create this document outside my application & add it to the mainBundle. Then I could copy it once to the apps DocumentsDirectory and be able I use it (instead of creating the Document within the app from the original JSON files). Any help is appreciated!

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• Using sqlite from vala without dependence on glib

  - by celil

  I need to use the Sqlite vapi without any depedence on GLib. SQlite is non-gobject library, so it should be possible to do that. However, when I try to compile the following file with the --profile posix option, using Sqlite; void main() { stdout.printf("Hello, World!"); } I get am error messages: sqlite3.vapi:357.56-357.59: error: The symbol `GLib' could not be found public int bind_blob (int index, void* value, int n, GLib.DestroyNotify destroy_notify); ^^^^ sqlite3.vapi:362.68-362.71: error: The symbol `GLib' could not be found public int bind_text (int index, owned string value, int n = -1, GLib.DestroyNotify destroy_notify = GLib.g_free); ^^^^ sqlite3.vapi:411.42-411.45: error: The symbol `GLib' could not be found public void result_blob (uint8[] data, GLib.DestroyNotify? destroy_notify = GLib.g_free); ^^^^ sqlite3.vapi:420.59-420.62: error: The symbol `GLib' could not be found public void result_text (string value, int length = -1, GLib.DestroyNotify? destroy_notify = GLib.g_free); ^^^^ Compilation failed: 4 error(s), 0 warning(s) It seems that several of the functions defined in the sqlite vapi make references to the GLib.g_free and GLib.DestroyNotify symbols. Are there any posix alternatives to those?

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