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  • Would this data requirement suit a Document -Oriented database?

    - by codecowboy
    I have a requirement to allow users to fill in journal/diary entries per day. I want to provide a handful of known journal templates with x columns to fill in. An example might be a thought diary; a user has to record a thought in one column, describe the situation, rate how they felt etc. The other requirement is that a user should be able to create their own diary templates. They might have a need for a 10 column diary entry per day and might need to rate some aspect out of 50 instead of 10. In an RDBMS, I can see this getting quite complicated. I could have individual tables for my known templates as the fields will be fixed. But for custom diary templates I imagine I would would need a table storing custom_field_types (the diary columns), a table storing entries referencing their field types (custom_entries) and then a third custom_diary table which would store rows matching custom_entries to diaries. Leaving performance / scaling aside, would it be any simpler or make more sense to use a document oriented database like MongoDB to store this data? This is for a web application which might later need an API for mobile devices.

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  • How much sense does it make for a veteran .Net developer to move to ROR professionally?

    - by SharePoint Newbie
    Hi, I consider myself a moderately skilled (definitely not stupid) .Net developer. Over the past 5 years I've been working with ASP.Net, ASP.Net MVC, SharePoint, WPF, Silverlight, RDBMS (SQL Server and Oracle). I maintain/contribute a couple of .Net OSS. I've also picked up F# and Haskell over the previous year. I am currently employed at one of the better (best) software firms out there and would surely love to continue working here. However over the past 6 months opportunities in .Net have mostly dried up and all new work is headed towards ROR (and whatever is left towards Java). I have never been apprehensive about learning a new stack/language for fun and have previously picked up Haskell and Python in my free time. I am however apprehensive as to what impact moving to a new entirely different stack would have on my career. What would you do: Change jobs if you don't find anything on .Net soon. Try out the ROR stack for some time. If you find that its not your cup of tea, move back. (How would this impact my career and job opportunities in the longer run?) Also it would be very helpful if there are any ASP.Net MVC folks who have switched over to ROR professionally who can share their experiences. Edit: I have not done any development on a *nix box before. I've however used Ubuntu for fun and games. Sorry if this sounds subjective.

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  • How do I develop database-utilizing application in an agile/test-driven-development way?

    - by user39019
    I want to add databases (traditional client/server RDBMS's like Mysql/Postgresql as opposed to NoSQL, or embedded databases) to my toolbox as a developer. I've been using SQLite for simpler projects with only 1 client, but now I want to do more complicated things (ie, db-backed web development). I usually like following agile and/or test-driven-development principles. I generally code in Perl or Python. Questions: How do I test my code such that each run of the test suite starts with a 'pristine' state? Do I run a separate instance of the database server every test? Do I use a temporary database? How do I design my tables/schema so that it is flexible with respect to changing requirements? Do I start with an ORM for my language? Or do I stick to manually coding SQL? One thing I don't find appealing is having to change more than one thing (say, the CREATE TABLE statement and associated crud statements) for one change, b/c that's error prone. On the other hand, I expect ORM's to be a low slower and harder to debug than raw SQL. What is the general strategy for migrating data between one version of the program and a newer one? Do I carefully write ALTER TABLE statements between each version, or do I dump the data and import fresh in the new version?

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  • At what point does caching become necessary for a web application?

    - by Zaemz
    I'm considering the architecture for a web application. It's going to be a single page application that updates itself whenever the user selects different information on several forms that are available that are on the page. I was thinking that it shouldn't be good to rely on the user's browser to correctly interpret the information and update the view, so I'll send the user's choices to the server, and then get the data, send it back to the browser, and update the view. There's a table with 10,000 or so rows in a MySQL database that's going to be accessed pretty often, like once every 5-30 seconds for each user. I'm expecting 200-300 concurrent users at one time. I've read that a well designed relational database with simple queries are nothing for a RDBMS to handle, really, but I would still like to keep things quick for the client. Should this even be a concern for me at the moment? At what point would it be helpful to start using a separate caching service like Memcached or Redis, or would it even be necessary? I know that MySQL caches popular queries and the results, would this suffice?

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  • Oracle Direct ???????·????

    - by ???02
    Oracle Direct ???????·???????????????????????????????????????? ????????????????????????????????? ????????????????????? ???????????????????????????????????????ID??·??????????????????Oracle Database 11g?????!? Oracle Database 11g~???????~Oracle Database 11g???????????????????????·??·???????????????????????????????????????????????????????????????????????????????!!??(PDF) ??(WMV) ??(MP4)??????????!!??????~Oracle Database???~J-SOX?????????????Oracle?????????????????????????????????(PDF) ??(WMV) ??(MP4)??!!??????~OracleDatabase????~Oracle RDBMS ????????????????????????????????????????????(PDF) ??(WMV) ??(MP4)?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????(PDF) ??(WMV) ??(MP4)????·???????????????·?????????????????·????????????????????????????????DB?OS?????????????????????????????????????????????????????????·????????????????????????????????????????????????????????????????????????????????????(PDF) ??(WMV) ??(MP4)????????????????????????????????????????????????????????????????????????????????????????Oracle Data Masking?????????????????????????????????????????????????????????????????(PDF) ??(Flash)??????????! ?????????????Oracle DBA & Developer Days 2010??????????????! ??????????????????????????????????????????????DB???????????????????????(PDF) ??(WMV) ??(MP4)??????????????????????????????????????????????????????????????SQL????????????????????????????????????????????????????????????????????????(PDF) ??(WMV) ??(MP4)?????????????????????????????????????????????????????????????????Oracle?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????(PDF) ??(WMV) ??(MP4)???????!??????????????????????????????????·?????????????????????????????????????????????????????????????????????????????????????????????????!??(PDF) ??(WMV) ??(MP4)ID??·?????????????????????????!????ID?????????????????????????ID?????????????????????????????????????????????????????????????????????????????(PDF) ??(WMV) ??(MP4)ID???????????!????DB?OS?????/??????????????????????????????????????????????????????????????????????????????????????????????????????????????OS?????/???????????????????????????(PDF) ??(WMV) ??(MP4)??????·????????PC????!???????????????????????????????????????????????????????????????????????????????????????????????????????????(PDF) ??(WMV) ??(MP4)ID???????????????????????????????????!??ID·???????????????????ID·???????????????????????????????????????????????????????Oracle Identity Management 11g ?????????????????????????ID·?????????????????????11g ?????????????????????????????????????????????(PDF) ??(WMV) ??(MP4)????·???????????????????~????????????????????????????????????????????????????????????????????????????????????????????????????????·????????ID?????????????????????????????????????????????? ??ID/????????????????????(PDF)???????????????????????????????????~???????????????????????????????????????????IT??????????????????????·??????????????????????IT?????????????????????????????????????????????????????????????????IT ?????????????????????????????????????????????????(PDF)??????·????Sun??????! ??????·?????????????????????????·?????????????Sun Directory Server Enterprise Edition???OS??????????????????????????????13?????????????????????????????????????????????????????????????????????????????????????(PDF)Active Directory?????????????????????????Active Directory?????????????????????????????? ???????????????????????????????????!??(PDF)Active Directory?? ~??????~Active Directory?????????????????????????Active Directory?????????????????????????????? ???????????????????????????????????!??(PDF)Active Directory?? ~????????~Windows7??!Active Directory + Oracle ????????? ????? ???SAP?Notes?????????/??????????????Web??????????????????????????????????????????????????????????????????????????????????????????????????????????·????? Oracle Enterprise Single Sign-On Suite??????????(PDF) ?????? Oracle Direct

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  • What's up with OCFS2?

    - by wcoekaer
    On Linux there are many filesystem choices and even from Oracle we provide a number of filesystems, all with their own advantages and use cases. Customers often confuse ACFS with OCFS or OCFS2 which then causes assumptions to be made such as one replacing the other etc... I thought it would be good to write up a summary of how OCFS2 got to where it is, what we're up to still, how it is different from other options and how this really is a cool native Linux cluster filesystem that we worked on for many years and is still widely used. Work on a cluster filesystem at Oracle started many years ago, in the early 2000's when the Oracle Database Cluster development team wrote a cluster filesystem for Windows that was primarily focused on providing an alternative to raw disk devices and help customers with the deployment of Oracle Real Application Cluster (RAC). Oracle RAC is a cluster technology that lets us make a cluster of Oracle Database servers look like one big database. The RDBMS runs on many nodes and they all work on the same data. It's a Shared Disk database design. There are many advantages doing this but I will not go into detail as that is not the purpose of my write up. Suffice it to say that Oracle RAC expects all the database data to be visible in a consistent, coherent way, across all the nodes in the cluster. To do that, there were/are a few options : 1) use raw disk devices that are shared, through SCSI, FC, or iSCSI 2) use a network filesystem (NFS) 3) use a cluster filesystem(CFS) which basically gives you a filesystem that's coherent across all nodes using shared disks. It is sort of (but not quite) combining option 1 and 2 except that you don't do network access to the files, the files are effectively locally visible as if it was a local filesystem. So OCFS (Oracle Cluster FileSystem) on Windows was born. Since Linux was becoming a very important and popular platform, we decided that we would also make this available on Linux and thus the porting of OCFS/Windows started. The first version of OCFS was really primarily focused on replacing the use of Raw devices with a simple filesystem that lets you create files and provide direct IO to these files to get basically native raw disk performance. The filesystem was not designed to be fully POSIX compliant and it did not have any where near good/decent performance for regular file create/delete/access operations. Cache coherency was easy since it was basically always direct IO down to the disk device and this ensured that any time one issues a write() command it would go directly down to the disk, and not return until the write() was completed. Same for read() any sort of read from a datafile would be a read() operation that went all the way to disk and return. We did not cache any data when it came down to Oracle data files. So while OCFS worked well for that, since it did not have much of a normal filesystem feel, it was not something that could be submitted to the kernel mail list for inclusion into Linux as another native linux filesystem (setting aside the Windows porting code ...) it did its job well, it was very easy to configure, node membership was simple, locking was disk based (so very slow but it existed), you could create regular files and do regular filesystem operations to a certain extend but anything that was not database data file related was just not very useful in general. Logfiles ok, standard filesystem use, not so much. Up to this point, all the work was done, at Oracle, by Oracle developers. Once OCFS (1) was out for a while and there was a lot of use in the database RAC world, many customers wanted to do more and were asking for features that you'd expect in a normal native filesystem, a real "general purposes cluster filesystem". So the team sat down and basically started from scratch to implement what's now known as OCFS2 (Oracle Cluster FileSystem release 2). Some basic criteria were : Design it with a real Distributed Lock Manager and use the network for lock negotiation instead of the disk Make it a Linux native filesystem instead of a native shim layer and a portable core Support standard Posix compliancy and be fully cache coherent with all operations Support all the filesystem features Linux offers (ACL, extended Attributes, quotas, sparse files,...) Be modern, support large files, 32/64bit, journaling, data ordered journaling, endian neutral, we can mount on both endian /cross architecture,.. Needless to say, this was a huge development effort that took many years to complete. A few big milestones happened along the way... OCFS2 was development in the open, we did not have a private tree that we worked on without external code review from the Linux Filesystem maintainers, great folks like Christopher Hellwig reviewed the code regularly to make sure we were not doing anything out of line, we submitted the code for review on lkml a number of times to see if we were getting close for it to be included into the mainline kernel. Using this development model is standard practice for anyone that wants to write code that goes into the kernel and having any chance of doing so without a complete rewrite or.. shall I say flamefest when submitted. It saved us a tremendous amount of time by not having to re-fit code for it to be in a Linus acceptable state. Some other filesystems that were trying to get into the kernel that didn't follow an open development model had a lot harder time and a lot harsher criticism. March 2006, when Linus released 2.6.16, OCFS2 officially became part of the mainline kernel, it was accepted a little earlier in the release candidates but in 2.6.16. OCFS2 became officially part of the mainline Linux kernel tree as one of the many filesystems. It was the first cluster filesystem to make it into the kernel tree. Our hope was that it would then end up getting picked up by the distribution vendors to make it easy for everyone to have access to a CFS. Today the source code for OCFS2 is approximately 85000 lines of code. We made OCFS2 production with full support for customers that ran Oracle database on Linux, no extra or separate support contract needed. OCFS2 1.0.0 started being built for RHEL4 for x86, x86-64, ppc, s390x and ia64. For RHEL5 starting with OCFS2 1.2. SuSE was very interested in high availability and clustering and decided to build and include OCFS2 with SLES9 for their customers and was, next to Oracle, the main contributor to the filesystem for both new features and bug fixes. Source code was always available even prior to inclusion into mainline and as of 2.6.16, source code was just part of a Linux kernel download from kernel.org, which it still is, today. So the latest OCFS2 code is always the upstream mainline Linux kernel. OCFS2 is the cluster filesystem used in Oracle VM 2 and Oracle VM 3 as the virtual disk repository filesystem. Since the filesystem is in the Linux kernel it's released under the GPL v2 The release model has always been that new feature development happened in the mainline kernel and we then built consistent, well tested, snapshots that had versions, 1.2, 1.4, 1.6, 1.8. But these releases were effectively just snapshots in time that were tested for stability and release quality. OCFS2 is very easy to use, there's a simple text file that contains the node information (hostname, node number, cluster name) and a file that contains the cluster heartbeat timeouts. It is very small, and very efficient. As Sunil Mushran wrote in the manual : OCFS2 is an efficient, easily configured, quickly installed, fully integrated and compatible, feature-rich, architecture and endian neutral, cache coherent, ordered data journaling, POSIX-compliant, shared disk cluster file system. Here is a list of some of the important features that are included : Variable Block and Cluster sizes Supports block sizes ranging from 512 bytes to 4 KB and cluster sizes ranging from 4 KB to 1 MB (increments in power of 2). Extent-based Allocations Tracks the allocated space in ranges of clusters making it especially efficient for storing very large files. Optimized Allocations Supports sparse files, inline-data, unwritten extents, hole punching and allocation reservation for higher performance and efficient storage. File Cloning/snapshots REFLINK is a feature which introduces copy-on-write clones of files in a cluster coherent way. Indexed Directories Allows efficient access to millions of objects in a directory. Metadata Checksums Detects silent corruption in inodes and directories. Extended Attributes Supports attaching an unlimited number of name:value pairs to the file system objects like regular files, directories, symbolic links, etc. Advanced Security Supports POSIX ACLs and SELinux in addition to the traditional file access permission model. Quotas Supports user and group quotas. Journaling Supports both ordered and writeback data journaling modes to provide file system consistency in the event of power failure or system crash. Endian and Architecture neutral Supports a cluster of nodes with mixed architectures. Allows concurrent mounts on nodes running 32-bit and 64-bit, little-endian (x86, x86_64, ia64) and big-endian (ppc64) architectures. In-built Cluster-stack with DLM Includes an easy to configure, in-kernel cluster-stack with a distributed lock manager. Buffered, Direct, Asynchronous, Splice and Memory Mapped I/Os Supports all modes of I/Os for maximum flexibility and performance. Comprehensive Tools Support Provides a familiar EXT3-style tool-set that uses similar parameters for ease-of-use. The filesystem was distributed for Linux distributions in separate RPM form and this had to be built for every single kernel errata release or every updated kernel provided by the vendor. We provided builds from Oracle for Oracle Linux and all kernels released by Oracle and for Red Hat Enterprise Linux. SuSE provided the modules directly for every kernel they shipped. With the introduction of the Unbreakable Enterprise Kernel for Oracle Linux and our interest in reducing the overhead of building filesystem modules for every minor release, we decide to make OCFS2 available as part of UEK. There was no more need for separate kernel modules, everything was built-in and a kernel upgrade automatically updated the filesystem, as it should. UEK allowed us to not having to backport new upstream filesystem code into an older kernel version, backporting features into older versions introduces risk and requires extra testing because the code is basically partially rewritten. The UEK model works really well for continuing to provide OCFS2 without that extra overhead. Because the RHEL kernel did not contain OCFS2 as a kernel module (it is in the source tree but it is not built by the vendor in kernel module form) we stopped adding the extra packages to Oracle Linux and its RHEL compatible kernel and for RHEL. Oracle Linux customers/users obviously get OCFS2 included as part of the Unbreakable Enterprise Kernel, SuSE customers get it by SuSE distributed with SLES and Red Hat can decide to distribute OCFS2 to their customers if they chose to as it's just a matter of compiling the module and making it available. OCFS2 today, in the mainline kernel is pretty much feature complete in terms of integration with every filesystem feature Linux offers and it is still actively maintained with Joel Becker being the primary maintainer. Since we use OCFS2 as part of Oracle VM, we continue to look at interesting new functionality to add, REFLINK was a good example, and as such we continue to enhance the filesystem where it makes sense. Bugfixes and any sort of code that goes into the mainline Linux kernel that affects filesystems, automatically also modifies OCFS2 so it's in kernel, actively maintained but not a lot of new development happening at this time. We continue to fully support OCFS2 as part of Oracle Linux and the Unbreakable Enterprise Kernel and other vendors make their own decisions on support as it's really a Linux cluster filesystem now more than something that we provide to customers. It really just is part of Linux like EXT3 or BTRFS etc, the OS distribution vendors decide. Do not confuse OCFS2 with ACFS (ASM cluster Filesystem) also known as Oracle Cloud Filesystem. ACFS is a filesystem that's provided by Oracle on various OS platforms and really integrates into Oracle ASM (Automatic Storage Management). It's a very powerful Cluster Filesystem but it's not distributed as part of the Operating System, it's distributed with the Oracle Database product and installs with and lives inside Oracle ASM. ACFS obviously is fully supported on Linux (Oracle Linux, Red Hat Enterprise Linux) but OCFS2 independently as a native Linux filesystem is also, and continues to also be supported. ACFS is very much tied into the Oracle RDBMS, OCFS2 is just a standard native Linux filesystem with no ties into Oracle products. Customers running the Oracle database and ASM really should consider using ACFS as it also provides storage/clustered volume management. Customers wanting to use a simple, easy to use generic Linux cluster filesystem should consider using OCFS2. To learn more about OCFS2 in detail, you can find good documentation on http://oss.oracle.com/projects/ocfs2 in the Documentation area, or get the latest mainline kernel from http://kernel.org and read the source. One final, unrelated note - since I am not always able to publicly answer or respond to comments, I do not want to selectively publish comments from readers. Sometimes I forget to publish comments, sometime I publish them and sometimes I would publish them but if for some reason I cannot publicly comment on them, it becomes a very one-sided stream. So for now I am going to not publish comments from anyone, to be fair to all sides. You are always welcome to email me and I will do my best to respond to technical questions, questions about strategy or direction are sometimes not possible to answer for obvious reasons.

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  • ??ORACLE(?):PMON Release Lock

    - by Liu Maclean(???)
    ?????Oracle????????????PMON???????,??????ORACLE PROCESS,??cleanup dead process????release enqueue lock ,???cleanup latch? ????????????????, ????????????Pmon cleanup dead process?release lock??????????? ??Oracle=> MicroOracle, Maclean???????????Oracle behavior: SQL> select * from v$version; BANNER -------------------------------------------------------------------------------- Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - 64bit Production PL/SQL Release 11.2.0.3.0 - Production CORE    11.2.0.3.0      Production TNS for Linux: Version 11.2.0.3.0 - Production NLSRTL Version 11.2.0.3.0 - Production SQL> select * from global_name; GLOBAL_NAME -------------------------------------------------------------------------------- www.oracledatabase12g.com SQL> select pid,program  from v$process;        PID PROGRAM ---------- ------------------------------------------------          1 PSEUDO          2 [email protected] (PMON)          3 [email protected] (PSP0)          4 [email protected] (VKTM)          5 [email protected] (GEN0)          6 [email protected] (DIAG)          7 [email protected] (DBRM)          8 [email protected] (PING)          9 [email protected] (ACMS)         10 [email protected] (DIA0)         11 [email protected] (LMON)         12 [email protected] (LMD0)         13 [email protected] (LMS0)         14 [email protected] (RMS0)         15 [email protected] (LMHB)         16 [email protected] (MMAN)         17 [email protected] (DBW0)         18 [email protected] (LGWR)         19 [email protected] (CKPT)         20 [email protected] (SMON)         21 [email protected] (RECO)         22 [email protected] (RBAL)         23 [email protected] (ASMB)         24 [email protected] (MMON)         25 [email protected] (MMNL)         26 [email protected] (MARK)         27 [email protected] (D000)         28 [email protected] (SMCO)         29 [email protected] (S000)         30 [email protected] (LCK0)         31 [email protected] (RSMN)         32 [email protected] (TNS V1-V3)         33 [email protected] (W000)         34 [email protected] (TNS V1-V3)         35 [email protected] (TNS V1-V3)         37 [email protected] (ARC0)         38 [email protected] (ARC1)         40 [email protected] (ARC2)         41 [email protected] (ARC3)         43 [email protected] (GTX0)         44 [email protected] (RCBG)         46 [email protected] (QMNC)         47 [email protected] (TNS V1-V3)         48 [email protected] (TNS V1-V3)         49 [email protected] (Q000)         50 [email protected] (Q001)         51 [email protected] (GCR0) SQL> drop table maclean; Table dropped. SQL> create table maclean(t1 int); Table created. SQL> insert into maclean values(1); 1 row created. SQL> commit; Commit complete. ?????????, ?????????:PID=2  PMONPID=11 LMONPID=18 LGWRPID=20 SMONPID=12 LMD ??????2???”enq: TX – row lock contention”?????,???KILL??????,??????PMON?recover dead process?release TX lock: PROCESS A: QL> select addr,spid,pid from v$process where addr = ( select paddr from v$session where sid=(select distinct sid from v$mystat)); ADDR             SPID                            PID ---------------- ------------------------ ---------- 00000000BD516B80 17880                            46 SQL> select distinct sid from v$mystat;        SID ----------         22 SQL> update maclean set t1=t1+1; 1 row updated. PROCESS B SQL> select addr,spid,pid from v$process where addr = ( select paddr from v$session where sid=(select distinct sid from v$mystat)); ADDR             SPID                            PID ---------------- ------------------------ ---------- 00000000BD515AD0 17908                            45 SQL> update maclean set t1=t1+1; HANG.............. PROCESS B ??"enq: TX – row lock contention"?HANG? ????PROCESS C?? ?SMON?10500 event trace ??PMON?KST TRACE: SQL> set linesize 200 pagesize 1400 SQL> select * from v$lock where sid=22; ADDR             KADDR                   SID TY        ID1        ID2      LMODE    REQUEST      CTIME      BLOCK ---------------- ---------------- ---------- -- ---------- ---------- ---------- ---------- ---------- ---------- 00000000BDCD7618 00000000BDCD7670         22 AE        100          0          4          0         48          2 00007F63268A9E28 00007F63268A9E88         22 TM      77902          0          3          0         32          2 00000000B9BB4950 00000000B9BB49C8         22 TX     458765        892          6          0         32          1 PROCESS A holde?ENQUEUE LOCK??? AE?TM?TX SQL> alter system switch logfile; System altered. SQL> alter system checkpoint; System altered. SQL> alter system flush buffer_cache; System altered. SQL> alter system set "_trace_events"='10000-10999:255:2,20,33'; System altered. SQL> ! kill -9 17880 KILL PROCESS A ???PROCESS B??update ?PMON ? PROCESS B ?errorstack ?KST TRACE????? SQL> oradebug setorapid 2; Oracle pid: 2, Unix process pid: 17533, image: [email protected] (PMON) SQL> oradebug dump errorstack 4; Statement processed. SQL> oradebug tracefile_name /s01/orabase/diag/rdbms/vprod/VPROD1/trace/VPROD1_pmon_17533.trc SQL> oradebug setorapid 45; Oracle pid: 45, Unix process pid: 17908, image: [email protected] (TNS V1-V3) SQL> oradebug dump errorstack 4; Statement processed. SQL>oradebug tracefile_name /s01/orabase/diag/rdbms/vprod/VPROD1/trace/VPROD1_ora_17908.trc ??PMON? KST TRACE: 2012-05-18 10:37:34.557225 :8001ECE8:db_trace:ktur.c@5692:ktugru(): [10444:2:1] next rollback uba: 0x00000000.0000.00 2012-05-18 10:37:34.557382 :8001ECE9:db_trace:ksl2.c@16009:ksl_update_post_stats(): [10005:2:1] KSL POST SENT postee=18 num=4 loc='ksa2.h LINE:285 ID:ksasnd' id1=0 id2=0 name=   type=0 2012-05-18 10:37:34.557514 :8001ECEA:db_trace:ksq.c@8540:ksqrcli(): [10704:2:1] ksqrcl: release TX-0007000d-0000037c mode=X 2012-05-18 10:37:34.558819 :8001ECF0:db_trace:ksl2.c@16009:ksl_update_post_stats(): [10005:2:1] KSL POST SENT postee=45 num=5 loc='kji.h LINE:3418 ID:kjata: wake up enqueue owner' id1=0 id2=0 name=   type=0 2012-05-18 10:37:34.559047 :8001ECF8:db_trace:ksl2.c@16009:ksl_update_post_stats(): [10005:2:1] KSL POST SENT postee=12 num=6 loc='kjm.h LINE:1224 ID:kjmpost: post lmd' id1=0 id2=0 name=   type=0 2012-05-18 10:37:34.559271 :8001ECFC:db_trace:ksq.c@8826:ksqrcli(): [10704:2:1] ksqrcl: SUCCESS 2012-05-18 10:37:34.559291 :8001ECFD:db_trace:ktu.c@8652:ktudnx(): [10813:2:1] ktudnx: dec cnt xid:7.13.892 nax:0 nbx:0 2012-05-18 10:37:34.559301 :8001ECFE:db_trace:ktur.c@3198:ktuabt(): [10444:2:1] ABORT TRANSACTION - xid: 0x0007.00d.0000037c 2012-05-18 10:37:34.559327 :8001ECFF:db_trace:ksq.c@8540:ksqrcli(): [10704:2:1] ksqrcl: release TM-0001304e-00000000 mode=SX 2012-05-18 10:37:34.559365 :8001ED00:db_trace:ksq.c@8826:ksqrcli(): [10704:2:1] ksqrcl: SUCCESS 2012-05-18 10:37:34.559908 :8001ED01:db_trace:ksq.c@8540:ksqrcli(): [10704:2:1] ksqrcl: release AE-00000064-00000000 mode=S 2012-05-18 10:37:34.559982 :8001ED02:db_trace:ksq.c@8826:ksqrcli(): [10704:2:1] ksqrcl: SUCCESS 2012-05-18 10:37:34.560217 :8001ED03:db_trace:ksfd.c@15379:ksfdfods(): [10298:2:1] ksfdfods:fob=0xbab87b48 aiopend=0 2012-05-18 10:37:34.560336 :GSIPC:kjcs.c@4876:kjcsombdi(): GSIPC:SOD: 0xbc79e0c8 action 3 state 0 chunk (nil) regq 0xbc79e108 batq 0xbc79e118 2012-05-18 10:37:34.560357 :GSIPC:kjcs.c@5293:kjcsombdi(): GSIPC:SOD: exit cleanup for 0xbc79e0c8 rc: 1, loc: 0x303 2012-05-18 10:37:34.560375 :8001ED04:db_trace:kss.c@1414:kssdch(): [10809:2:1] kssdch(0xbd516b80 = process, 3) 1 0 exit 2012-05-18 10:37:34.560939 :8001ED06:db_trace:kmm.c@10578:kmmlrl(): [10257:2:1] KMMLRL: Entering: flg(0x0) rflg(0x4) 2012-05-18 10:37:34.561091 :8001ED07:db_trace:kmm.c@10472:kmmlrl_process_events(): [10257:2:1] KMMLRL: Events: succ(3) wait(0) fail(0) 2012-05-18 10:37:34.561100 :8001ED08:db_trace:kmm.c@11279:kmmlrl(): [10257:2:1] KMMLRL: Reg/update: flg(0x0) rflg(0x4) 2012-05-18 10:37:34.563325 :8001ED0B:db_trace:kmm.c@12511:kmmlrl(): [10257:2:1] KMMLRL: Update: ret(0) 2012-05-18 10:37:34.563335 :8001ED0C:db_trace:kmm.c@12768:kmmlrl(): [10257:2:1] KMMLRL: Exiting: flg(0x0) rflg(0x4) 2012-05-18 10:37:34.563354 :8001ED0D:db_trace:ksl2.c@2598:kslwtbctx(): [10005:2:1] KSL WAIT BEG [pmon timer] 300/0x12c 0/0x0 0/0x0 wait_id=78 seq_num=79 snap_id=1 PMON??dead process A??????????TX Lock:ksqrcl: release TX-0007000d-0000037c mode=X ?????Post Process B,??Process B ?acquire?TX lock???????:KSL POST SENT postee=45 num=5 loc=’kji.h LINE:3418 ID:kjata: wake up enqueue owner’ id1=0 id2=0 name=   type=0 Process B???PMON??????????ksl2.c@14563:ksliwat(): [10005:45:151] KSL POST RCVD poster=2 num=5 loc=’kji.h LINE:3418 ID:kjata: wake up enqueue owner’ id1=0 id2=0 name=   type=0 fac#=3 posted=0×3 may_be_posted=1kslwtbctx(): [10005:45:151] KSL WAIT BEG [latch: ges resource hash list] 3162668560/0xbc827e10 91/0x5b 0/0×0 wait_id=14 seq_num=15 snap_id=1kslwtectx(): [10005:45:151] KSL WAIT END [latch: ges resource hash list] 3162668560/0xbc827e10 91/0x5b 0/0×0 wait_id=14 seq_num=15 snap_id=1 ?RAC????POST LMD(lock Manager)??,????????GES??:2012-05-18 10:37:34.559047 :8001ECF8:db_trace:ksl2.c@16009:ksl_update_post_stats(): [10005:2:1] KSL POST SENT postee=12 num=6 loc=’kjm.h LINE:1224 ID:kjmpost: post lmd’ id1=0 id2=0 name=   type=0 ??ksqrcl: release TX????????:ksq.c@8826:ksqrcli(): [10704:2:1] ksqrcl: SUCCESS ??PMON abort Process A???Transaction2012-05-18 10:37:34.559291 :8001ECFD:db_trace:ktu.c@8652:ktudnx(): [10813:2:1] ktudnx: dec cnt xid:7.13.892 nax:0 nbx:02012-05-18 10:37:34.559301 :8001ECFE:db_trace:ktur.c@3198:ktuabt(): [10444:2:1] ABORT TRANSACTION – xid: 0×0007.00d.0000037c ??Process A?????maclean??TM lock:ksq.c@8540:ksqrcli(): [10704:2:1] ksqrcl: release TM-0001304e-00000000 mode=SXksq.c@8826:ksqrcli(): [10704:2:1] ksqrcl: SUCCESS ??Process A?????AE ( Prevent Dropping an edition in use) lock:ksq.c@8540:ksqrcli(): [10704:2:1] ksqrcl: release AE-00000064-00000000 mode=Sksq.c@8826:ksqrcli(): [10704:2:1] ksqrcl: SUCCESS ??cleanup process Akjcs.c@4876:kjcsombdi(): GSIPC:SOD: 0xbc79e0c8 action 3 state 0 chunk (nil) regq 0xbc79e108 batq 0xbc79e118GSIPC:kjcs.c@5293:kjcsombdi(): GSIPC:SOD: exit cleanup for 0xbc79e0c8 rc: 1, loc: 0×303kss.c@1414:kssdch(): [10809:2:1] kssdch(0xbd516b80 = process, 3) 1 0 exit 0xbd516b80??PROCESS A ?paddr ???? kssdch???????? ??process???state object SO KSS: delete children of state obj. PMON ??kmmlrl()????instance goodness??update for session drop deltakmmlrl(): [10257:2:1] KMMLRL: Entering: flg(0×0) rflg(0×4)kmmlrl_process_events(): [10257:2:1] KMMLRL: Events: succ(3) wait(0) fail(0)kmmlrl(): [10257:2:1] KMMLRL: Reg/update: flg(0×0) rflg(0×4)kmmlrl(): [10257:2:1] KMMLRL: Update: ret(0)kmmlrl(): [10257:2:1] KMMLRL: Exiting: flg(0×0) rflg(0×4) ????????PMON???? 3s???”pmon timer”??kslwtbctx(): [10005:2:1] KSL WAIT BEG [pmon timer] 300/0x12c 0/0×0 0/0×0 wait_id=78 seq_num=79 snap_id=1

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  • Long-running transactions structured approach

    - by disown
    I'm looking for a structured approach to long-running (hours or more) transactions. As mentioned here, these type of interactions are usually handled by optimistic locking and manual merge strategies. It would be very handy to have some more structured approach to this type of problem using standard transactions. Various long-running interactions such as user registration, order confirmation etc. all have transaction-like semantics, and it is both error-prone and tedious to invent your own fragile manual roll-back and/or time-out/clean-up strategies. Taking a RDBMS as an example, I realize that it would be a major performance cost associated with keeping all the transactions open. As an alternative, I could imagine having a database supporting two isolation levels/strategies simultaneously, one for short-running and one for long-running conversations. Long-running conversations could then for instance have more strict limitations on data access to facilitate them taking more time (read-only semantics on some data, optimistic locking semantics etc). Are there any solutions which could do something similar?

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  • What are your thoughts on Raven DB?

    - by Ronnie Overby
    What are your thoughts on Raven DB? I see this below my title: The question you're asking appears subjective and is likely to be closed. Please don't do that. I think the question is legit because: Raven DB is brand-spanking-new. RDBMS's are probably the de facto for data persistence for .net developers, which Raven DB is not. Given these points, I would like to know your general opinions. Admittedly, the question is sort of broad. That is intentional, because I am trying to learn as much about it as possible, however here are some of my initial concerns and questions: What about using Raven DB for data storage in a shared web hosting environment, since Raven DB is interacted with through HTTP? Are there any areas that Raven DB is particularly well or not well suited for? How does it rank among alternatives, from a .net developer's perspective?

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  • Problem using Hibernate-Search

    - by KCore
    Hi, I am using hibernate search for my application. It is well configured and running perfectly till some time back, when it stopped working suddenly. The reason according to me being the number of my model (bean) classes. I have some 90 classes, which I add to my configuration, while building my Hibernate Configuration. When, I disable hibernate search (remove the search annotations and use Configuration instead of AnnotationsConfiguration), I try to start my application, it Works fine. But,the same app when I enable search, it just hangs up. I tried debugging and found the exact place where it hangs. After adding all the class to my AnnotationsConfiguration object, when I say cfg.buildSessionfactory(), It never comes out of that statement. (I have waited for hours!!!) Also when I decrease the number of my model classes (like say to half i.e. 50) it comes out of that statement and the application works fine.. Can Someone tell why is this happening?? My versions of hibernate are: hibernate-core-3.3.1.GA.jar hibernate-annotations-3.4.0.GA.jar hibernate-commons-annotations-3.1.0.GA.jar hibernate-search-3.1.0.GA.jar Also if need to avoid using AnnotationsConfiguration, I read that I need to configure the search event listeners explicitly.. can anyone list all the neccessary listeners and their respective classes? (I tried the standard ones given in Hibernate Search books, but they give me ClassNotFound exception and I have all the neccesarty libs in classpath) Here are the last few lines of hibernate trace I managed to pull : 16:09:32,814 INFO AnnotationConfiguration:369 - Hibernate Validator not found: ignoring 16:09:32,892 INFO ConnectionProviderFactory:95 - Initializing connection provider: org.hibernate.connection.C3P0ConnectionProvider 16:09:32,895 INFO C3P0ConnectionProvider:103 - C3P0 using driver: com.mysql.jdbc.Driver at URL: jdbc:mysql://localhost:3306/autolinkcrmcom_data 16:09:32,898 INFO C3P0ConnectionProvider:104 - Connection properties: {user=root, password=****} 16:09:32,900 INFO C3P0ConnectionProvider:107 - autocommit mode: false 16:09:33,694 INFO SettingsFactory:116 - RDBMS: MySQL, version: 5.1.37-1ubuntu5.1 16:09:33,696 INFO SettingsFactory:117 - JDBC driver: MySQL-AB JDBC Driver, version: mysql-connector-java-3.1.10 ( $Date: 2005/05/19 15:52:23 $, $Revision: 1.1.2.2 $ ) 16:09:33,701 INFO Dialect:175 - Using dialect: org.hibernate.dialect.MySQLDialect 16:09:33,707 INFO TransactionFactoryFactory:59 - Using default transaction strategy (direct JDBC transactions) 16:09:33,709 INFO TransactionManagerLookupFactory:80 - No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) 16:09:33,711 INFO SettingsFactory:170 - Automatic flush during beforeCompletion(): disabled 16:09:33,714 INFO SettingsFactory:174 - Automatic session close at end of transaction: disabled 16:09:32,814 INFO AnnotationConfiguration:369 - Hibernate Validator not found: ignoring 16:09:32,892 INFO ConnectionProviderFactory:95 - Initializing connection provider: org.hibernate.connection.C3P0ConnectionProvider 16:09:32,895 INFO C3P0ConnectionProvider:103 - C3P0 using driver: com.mysql.jdbc.Driver at URL: jdbc:mysql://localhost:3306/autolinkcrmcom_data 16:09:32,898 INFO C3P0ConnectionProvider:104 - Connection properties: {user=root, password=****} 16:09:32,900 INFO C3P0ConnectionProvider:107 - autocommit mode: false 16:09:33,694 INFO SettingsFactory:116 - RDBMS: MySQL, version: 5.1.37-1ubuntu5.1 16:09:33,696 INFO SettingsFactory:117 - JDBC driver: MySQL-AB JDBC Driver, version: mysql-connector-java-3.1.10 ( $Date: 2005/05/19 15:52:23 $, $Revision: 1.1.2.2 $ ) 16:09:33,701 INFO Dialect:175 - Using dialect: org.hibernate.dialect.MySQLDialect 16:09:33,707 INFO TransactionFactoryFactory:59 - Using default transaction strategy (direct JDBC transactions) 16:09:33,709 INFO TransactionManagerLookupFactory:80 - No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) 16:09:33,711 INFO SettingsFactory:170 - Automatic flush during beforeCompletion(): disabled 16:09:33,714 INFO SettingsFactory:174 - Automatic session close at end of transaction: disabled 16:09:33,716 INFO SettingsFactory:181 - JDBC batch size: 15 16:09:33,719 INFO SettingsFactory:184 - JDBC batch updates for versioned data: disabled 16:09:33,721 INFO SettingsFactory:189 - Scrollable result sets: enabled 16:09:33,723 DEBUG SettingsFactory:193 - Wrap result sets: disabled 16:09:33,725 INFO SettingsFactory:197 - JDBC3 getGeneratedKeys(): enabled 16:09:33,727 INFO SettingsFactory:205 - Connection release mode: auto 16:09:33,730 INFO SettingsFactory:229 - Maximum outer join fetch depth: 2 16:09:33,732 INFO SettingsFactory:232 - Default batch fetch size: 1000 16:09:33,735 INFO SettingsFactory:236 - Generate SQL with comments: disabled 16:09:33,737 INFO SettingsFactory:240 - Order SQL updates by primary key: disabled 16:09:33,740 INFO SettingsFactory:244 - Order SQL inserts for batching: disabled 16:09:33,742 INFO SettingsFactory:420 - Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory 16:09:33,744 INFO ASTQueryTranslatorFactory:47 - Using ASTQueryTranslatorFactory 16:09:33,747 INFO SettingsFactory:252 - Query language substitutions: {} 16:09:33,750 INFO SettingsFactory:257 - JPA-QL strict compliance: disabled 16:09:33,752 INFO SettingsFactory:262 - Second-level cache: enabled 16:09:33,754 INFO SettingsFactory:266 - Query cache: disabled 16:09:33,757 INFO SettingsFactory:405 - Cache region factory : org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge 16:09:33,759 INFO RegionFactoryCacheProviderBridge:61 - Cache provider: net.sf.ehcache.hibernate.EhCacheProvider 16:09:33,762 INFO SettingsFactory:276 - Optimize cache for minimal puts: disabled 16:09:33,764 INFO SettingsFactory:285 - Structured second-level cache entries: disabled 16:09:33,766 INFO SettingsFactory:314 - Statistics: disabled 16:09:33,769 INFO SettingsFactory:318 - Deleted entity synthetic identifier rollback: disabled 16:09:33,771 INFO SettingsFactory:333 - Default entity-mode: pojo 16:09:33,774 INFO SettingsFactory:337 - Named query checking : enabled 16:09:33,869 INFO Version:20 - Hibernate Search 3.1.0.GA 16:09:35,134 DEBUG DocumentBuilderIndexedEntity:157 - Field selection in projections is set to false for entity **com.xyz.abc**. recognized hibernaterecognized hibernaterecognized hibernaterecognized hibernaterecognized hibernaterecognized hibernaterecognized hibernaterecognized hibernaterecognized hibernaterecognized hibernateDocumentBuilderIndexedEntity Donno what the last line indicates ??? (hibernaterecognized....) After the last line it doesnt do anything (no trace too ) and just hangs....

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  • ALTER TABLE without locking the table?

    - by Daniel
    When doing an ALTER TABLE statement in MySQL, the whole table is read-locked for the duration of the statement. If it's a big table, that means insert or update statements could be locked for a looooong time. Is there a way to do a "hot alter", like adding a column in such a way that the table is still updatable throughout the process? Mostly I'm interested in a solution for MySQL but I'd be interested in other RDBMS if MySQL can't do it. To clarify, my purpose is simply to avoid downtime when a new feature that requires an extra table column is pushed to production. Any database schema will change over time, that's just a fact of life. I don't see why we should accept that these changes must inevitably result in downtime; that's just weak.

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  • Data Integration/EAI Project Lessons Learned

    - by Greg Harman
    Have you worked on a significant data or application integration project? I'm interested in hearing what worked for you and what didn't and how that affected the project both during and after implementation (i.e. during ongoing operation, maintenance and expansion). In addition to these lessons learned, please describe the project by including a quick overview of: The data sources and targets. Specifics are not necessary, but I'd like to know general technology categories e.g. RDBMS table, application accessed via a proprietary socket protocol, web service, reporting tool. The overall architecture of the project as related to data flows. Different human roles in the project (was this all done by one engineer? Did it include analysts with a particular expertise?) Any third-party products utilized, commercial or open source.

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  • How to model a social news feed on Google App Engine

    - by PEZ
    We want to implement a "News feed" where a user can see messages broadcasted by her friends, sorted with newest message first. But the feed should reflect changes in her friends list. (If she adds new friends, messages from those should be included in the feed, and if she removes friends their messages should not be included.) If we use the pubsub-test example and attach a recipient list to each message this means a lot of manipulation of the message recipients lists when users connect and disconnect friends. We first modeled publish-subscribe "fan out" using conventional RDBMS thinking. It seemed to work at first, but then, since the IN operator works the way it does, we quickly realized we couldn't continue on that path. We found Brett Slatkin's presentation from last years Google I/O and we have now watched it a few times but it isn't clear to us how to do it with "dynamic" recipient lists. What we need are some hints on how to "think" when modeling this.

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  • MongoDB Schema Design - Real-time Chat

    - by Nick
    I'm starting a project which I think will be particularly suited to MongoDB due to the speed and scalability it affords. The module I'm currently interested in is to do with real-time chat. If I was to do this in a traditional RDBMS I'd split it out into: Channel (A channel has many users) User (A user has one channel but many messages) Message (A message has a user) The the purpose of this use case, I'd like to assume that there will be typically 5 channels active at one time, each handling at most 5 messages per second. Specific queries that need to be fast: Fetch new messages (based on an bookmark, time stamp maybe, or an incrementing counter?) Post a message to a channel Verify that a user can post in a channel Bearing in mind that the document limit with MongoDB is 4mb, how would you go about designing the schema? What would yours look like? Are there any gotchas I should watch out for?

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  • Designing DAL in .NET to be "data-source independent" and not just "database independent" ?

    - by Munish Goyal
    How to design such flexible DAL (specifically in .NET) ? What interfaces .NET provides and what should be done on my own ? Its a greenfield project starting with SQL Server as data source but in future, parts of it will move to different NoSQL type of datastores. Also, we may need to experiment with lot of different datastores (like some data may have to go with Cassandra, some with RDBMS, some to other DHT etc.) Therefore easily switchable access layer will be needed. All i know right now is the 'data' and 'operations needed on that data'.

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  • Graph Databases' Implementation

    - by user1478153
    I am having trouble visualizing a Graph Database. Visualizing an RDBMS is really very simple and I was able to understand from the first tutorial itself when I started learning it some 4-5 years ago. But I am not able to understand Graph Databases. I am also unable to get any good links on this topic, hence posting this question here. Specifically, I am looking for the following: Some really simple book/link on Graph Dbs Atleast some knowledge on the implementation details of a Graph DB (I hope all Graph DBs would be having atleast a few basic things in common). Thanks a lot in advance guys,

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  • Will there be IQueryable-like additions to IObservable? (.NET Rx)

    - by Jason
    The new IObservable/IObserver frameworks in the System.Reactive library coming in .NET 4.0 are very exciting (see this and this link). It may be too early to speculate, but will there also be a (for lack of a better term) IQueryable-like framework built for these new interfaces as well? One particular use case would be to assist in pre-processing events at the source, rather than in the chain of the receiving calls. For example, if you have a very 'chatty' event interface, using the Subscribe().Where(...) will receive all events through the pipeline and the client does the filtering. What I am wondering is if there will be something akin to IQueryableObservable, whereby these LINQ methods will be 'compiled' into some 'smart' Subscribe implementation in a source. I can imagine certain network server architectures that could use such a framework. Or how about an add-on to SQL Server (or any RDBMS for that matter) that would allow .NET code to receive new data notifications (triggers in code) and would need those notifications filtered server-side.

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  • "conveyor belt" cache architecture

    - by Andrew Matthews
    I'm producing an application with a few peculiar internal communication characteristics that make the usual suspects for data storage and transport (Qs and RDBMSs) ill-fitted. I'm wondering whether there is a product out there that matches the following characteristics: all data put into it is peristent all reads are delivered out of memory data is universally available data lives where it is most needed data is versioned (nice to have) updates are transactional (I'd like ACID characteristics) data is potentially replicated, but always in sync works on windows is based on or has bindings for .NET is really fast is really robust is redundant is scalable I'm looking at things like Microsoft codename "Velocity", but I am not sure whether it fits all of the above characteristics. Likewise, Memcached is not a perfect fit either. The current version of this app opts for an RDBMS with a signaling system for inter-system sync, but latency is too high and versioning of the DB is a pain. I need all the robustness, but with none of the trade-offs.

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  • How to merge data from two separate access 2007 databases

    - by DiegoMaK
    Hi, I have two identical databases with same structure, database a in computer a and database b in computer b. The data of database a*(a.accdb)* and database b*(b.accdb)* are different. then in database a i have for example ID:1, 2, 3 and in database B i Have ID:4,5,6 Then i need merge these databases data in only one database(a or b, doesn't matter) so the final database looks like. ID:1,2,3,4,5,6 I search an easy way to do this. because i have many tables. and do this by union query is so tedious. I search for example for a backup option for only data without scheme as in postgreSQl or many others RDBMS, but i don't see this options in access 2007. pd:only just table could be have duplicate values(I guess that pk doesn't allow copy a duplicate value and all others values will be copied well). if i wrong please correct me. thanks for your help.

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  • Tracking pageviews and displaying related data

    - by zeky
    I want track which articles a user read on a website. Then with that data, be able to know: 1) - top N articles read in the last hour/day/week/month 2) - show recommendations ("users who read this, also read that") 3) - same as (1), but for a specific section on the site Since the site has high traffic ( 1M views/day) i can't use a RDBMS for this. I started to look at NoSQL (cassandra specifically) and since it's all new to me i'm not sure it's what i need or not. I'm possitive i'm not the first one who needs something like this but couldn't find links/articles giving me pointers on how to do something like this. Is NoSQL the best aproach? Any tips on the data model? Thanks.

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  • How to import and export only data of whole database in access 2007

    - by DiegoMaK
    Hi, I have two identical databases with same structure, database a in computer a and database b in computer b. The data of database a*(a.accdb)* and database b*(b.accdb)* are different. then in database a i have for example ID:1, 2, 3 and in database B i Have ID:4,5,6 Then i need merge these databases data in only one database(a or b, doesn't matter) so the final database looks like. ID:1,2,3,4,5,6 I search an easy way to do this. because i have many tables. and do this by union query is so tedious. I search for example for a backup option for only data without scheme as in postgreSQl or many others RDBMS, but i don't see this options in access 2007. pd:only just table could be duplicate values(i guess that pk doesn't allow copy a duplicate value and all others values will be copied well). if i wrong please correct me. thanks for your help.

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  • limit of connections with database and number of java threads in an application

    - by Jyoti
    Hi, I am working to develop a JMS application(stand alone multithreaded java application) which can receive 100 messages at a time , they need to be processed and database procedures need to be called for inserting/updating data. Procedures are very heavy as validations are also performed in them. Each procedure is taking about 30 to 50 seconds of time to execute and they are capable to run concurrently. My concern is to execute 100 procedures for all 100 messages and also send reply within time limit of 90 seconds by jms application. No application server to be used(requirement) and database is Teradata (RDBMS) I am using connection pool and thread pool in java code and testing code with 90 connections. Question is : (1) What should be the limit on number of connections with database at a time? (2) How many threads at a time are recommended? Thanks, Jyoti

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  • What technologies are appropriate for a human workflow system?

    - by CCw
    I'm researching various workflow architectures and it is overwhelming. The workflow system I am creating will be almost completely human-driven. Very little, if any, asynchronous activity will be taking place. One possibility is to simply use a RDBMS and have a task table, from which stored procedures would be used to enforce synchronous access to each task. This seems very simple, but I'm having a hard time coming up with reasons why I might need to involve a heavier solution. If my system has ~500 concurrent users, and there is very little in the way of automated or asynchronous tasks, should I even consider the various workflow patterns/packages out there like Mule, BPEL/SOA, Spring Work Flow, etc?

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  • e-commerce product data/metadata schemas

    - by Shreko
    Trying to figure out how is product data/metadata schema designed. For example, how does an e-commerce site enter a product spec. Does it copy and paste from mfg spec sheet, enters it in their own fields or something else? Here is an example, looking at the D3000 Nikon DSLR Manufacturer: http://nikon.ca/en/Product.aspx?m=17300&disp=Specs futureshop.ca: www.futureshop.ca/en-CA/product/nikon-nikon-d3000-10-2mp-dslr-camera-with-18-55mm-lens-kit-d3000/10128435.aspx?path=865c2348a1542e848982c9dbd9253483en02 memoryexpress.com: www.memoryexpress.com/Products/PID-MX25539%28ME%29.aspx They are all slightly different in order or in parent/child field? What's storage is used for this type of info rdbms or xml?

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  • Is there a combination of "LIKE" and "IN" in SQL?

    - by Techpriester
    Hi folks. In SQL I (sadly) often have to use "LIKE" conditions due to databases that violate nearly every rule of normalization. I can't change that right now. But that's irrelevant to the question. Further, I often use conditions like WHERE something in (1,1,2,3,5,8,13,21) for better readability and flexibility of my SQL statements. Is there any possible way to combine these two things without writing complicated sub-selects? I want something as easy as WHERE something LIKE ('bla%', '%foo%', 'batz%') instead of WHERE something LIKE 'bla%' OR something LIKE '%foo%' OR something LIKE 'batz%' I'm working with MS SQl Server and Oracle here but I'm interested if this is possible in any RDBMS at all.

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