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  • Educate me - should I buy these prebuilt NAS (which is better) or make my own?

    - by user29336
    I'm trying to learn as much as possible, and I think I've learned quite a bit so bear with me here under my confusion. I found a coupe NAS setups. I'm not sure if one is better than the other, other than the price being higher on some, and some coming with drives VS not. Let me list my setup so you can get an idea of what I want to provide: Macbook Pro Macbook Mini for Media streaming (so far) Windows 7 Gaming Computer Xbox 360 I'd like to provide a storage system for all these devices so they can access files very easily, I'd also like any of these devices to be able to stream media from this storage system. I'd like this storage system to be hassle free in terms of my confidence in the data integrity. If a drive fails, I want to know that I can replace the drive and all my files will still exist. I'd like to access this storage system OUTSIDE of my LAN. If I'm out on a job for work I'd like to go in, or be able to have people DL some files. This brings me to a question, is this what iSCSI is? I'd like this data system to be able to download torrents. I want to mount any drive on this storage system onto my OSX laptop as if it were a local drive attached. (Is this with iSCSI is?) I'd like this system to have a GOOD web based GUI. I don't want to install software to use it. I believe those are the most of my requirements. If I'm missing something that I have no knowledge about, can someone educate me? Here are the systems I found: $729ish on Newegg Lacie 5Big Network 2 (comes with 5TB of space. iSCSI / mac compatible, torrents, nice ui, + others?) Is this overpriced for what it provides? It almost seems like a great deal to me because of the 5TB of space it comes with vs the other NAS systems that don't come with storage but cost $600-700. Should I get a different NAS system? Netgear? Others? Do they have same features? Better? Is it better to buy your own disks? What about making my own? I'm tech savy all around. It seems cheaper to buy a premade one especially with the support/warranty it provides...

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  • What happens to missed writes after a zpool clear?

    - by Kevin
    I am trying to understand ZFS' behaviour under a specific condition, but the documentation is not very explicit about this so I'm left guessing. Suppose we have a zpool with redundancy. Take the following sequence of events: A problem arises in the connection between device D and the server. This causes a large number of failures and ZFS therefore faults the device, putting the pool in degraded state. While the pool is in degraded state, the pool is mutated (data is written and/or changed.) The connectivity issue is physically repaired such that device D is reliable again. Knowing that most data on D is valid, and not wanting to stress the pool with a resilver needlessly, the admin instead runs zpool clear pool D. This is indicated by Oracle's documentation as the appropriate action where the fault was due to a transient problem that has been corrected. I've read that zpool clear only clears the error counter, and restores the device to online status. However, this is a bit troubling, because if that's all it does, it will leave the pool in an inconsistent state! This is because mutations in step 2 will not have been successfully written to D. Instead, D will reflect the state of the pool prior to the connectivity failure. This is of course not the normative state for a zpool and could lead to hard data loss upon failure of another device - however, the pool status will not reflect this issue! I would at least assume based on ZFS' robust integrity mechanisms that an attempt to read the mutated data from D would catch the mistakes and repair them. However, this raises two problems: Reads are not guaranteed to hit all mutations unless a scrub is done; and Once ZFS does hit the mutated data, it (I'm guessing) might fault the drive again because it would appear to ZFS to be corrupting data, since it doesn't remember the previous write failures. Theoretically, ZFS could circumvent this problem by keeping track of mutations that occur during a degraded state, and writing them back to D when it's cleared. For some reason I suspect that's not what happens, though. I'm hoping someone with intimate knowledge of ZFS can shed some light on this aspect.

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  • Problem connecting to Hsqldb via Hibernate when running a Eclipse GWT project.

    - by Toby
    Hi, I'm trying to run a simple GWT project where I'm trying to do a simple persitence via hibernate to a HSQLDB database. The database I'm using I have been using for at least 2 years with several osgi applications without any problems. So all I done is reused the same configuration and added a simple object mapping file. The problem I have is that I get a socket creation error when ever I try to persist the object with in GWT jetty. I now the database is up and running, I can telnet to it, run OSGI projects that uses the same config with out problems. This is the stack I get when running 25 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.Environment - Hibernate 3.3.1.GA 30 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.Environment - hibernate.properties not found 34 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.Environment - Bytecode provider name : javassist 42 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.Environment - using JDK 1.4 java.sql.Timestamp handling 162 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.Configuration - configuring from resource: hibernate.cfg.xml 162 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.Configuration - Configuration resource: hibernate.cfg.xml 268 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.Configuration - Reading mappings from resource : hbm-mappings/project.hbm.xml 382 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.HbmBinder - Mapping class: se.kanit.projectmgr.db.ProjectDAO - T_PROJECT 419 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.Configuration - Configured SessionFactory: null 3534 [21704474@qtp-26509496-0] INFO org.hibernate.connection.DriverManagerConnectionProvider - Using Hibernate built-in connection pool (not for production use!) 3534 [21704474@qtp-26509496-0] INFO org.hibernate.connection.DriverManagerConnectionProvider - Hibernate connection pool size: 1 3534 [21704474@qtp-26509496-0] INFO org.hibernate.connection.DriverManagerConnectionProvider - autocommit mode: false 3537 [21704474@qtp-26509496-0] INFO org.hibernate.connection.DriverManagerConnectionProvider - using driver: org.hsqldb.jdbcDriver at URL: jdbc:hsqldb:hsql://localhost:1476/dirtyharry 3537 [21704474@qtp-26509496-0] INFO org.hibernate.connection.DriverManagerConnectionProvider - connection properties: {user=sa, password=****} 3594 [21704474@qtp-26509496-0] WARN org.hibernate.cfg.SettingsFactory - Could not obtain connection metadata java.sql.SQLException: socket creation error at org.hsqldb.jdbc.Util.sqlException(Unknown Source) at org.hsqldb.jdbc.jdbcConnection.(Unknown Source) at org.hsqldb.jdbcDriver.getConnection(Unknown Source) at org.hsqldb.jdbcDriver.connect(Unknown Source) at java.sql.DriverManager.getConnection(DriverManager.java:582) at java.sql.DriverManager.getConnection(DriverManager.java:154) at org.hibernate.connection.DriverManagerConnectionProvider.getConnection(DriverManagerConnectionProvider.java:133) at org.hibernate.cfg.SettingsFactory.buildSettings(SettingsFactory.java:111) at org.hibernate.cfg.Configuration.buildSettings(Configuration.java:2101) at org.hibernate.cfg.Configuration.buildSessionFactory(Configuration.java:1325) at se.kanit.projectmgr.db.HibernateUtil.(HibernateUtil.java:24) at se.kanit.web.projectmgr.server.issues.IssuesService.addIssue(IssuesService.java:26) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at com.google.appengine.tools.development.agent.runtime.Runtime.invoke(Runtime.java:100) at com.google.gwt.user.server.rpc.RPC.invokeAndEncodeResponse(RPC.java:562) at com.google.gwt.user.server.rpc.RemoteServiceServlet.processCall(RemoteServiceServlet.java:188) at com.google.gwt.user.server.rpc.RemoteServiceServlet.processPost(RemoteServiceServlet.java:224) at com.google.gwt.user.server.rpc.AbstractRemoteServiceServlet.doPost(AbstractRemoteServiceServlet.java:62) at javax.servlet.http.HttpServlet.service(HttpServlet.java:713) at javax.servlet.http.HttpServlet.service(HttpServlet.java:806) at org.mortbay.jetty.servlet.ServletHolder.handle(ServletHolder.java:511) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1166) at com.google.appengine.api.blobstore.dev.ServeBlobFilter.doFilter(ServeBlobFilter.java:51) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at com.google.apphosting.utils.servlet.TransactionCleanupFilter.doFilter(TransactionCleanupFilter.java:43) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at com.google.appengine.tools.development.StaticFileFilter.doFilter(StaticFileFilter.java:122) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java:388) at org.mortbay.jetty.security.SecurityHandler.handle(SecurityHandler.java:216) at org.mortbay.jetty.servlet.SessionHandler.handle(SessionHandler.java:182) at org.mortbay.jetty.handler.ContextHandler.handle(ContextHandler.java:765) at org.mortbay.jetty.webapp.WebAppContext.handle(WebAppContext.java:418) at com.google.apphosting.utils.jetty.DevAppEngineWebAppContext.handle(DevAppEngineWebAppContext.java:70) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at com.google.appengine.tools.development.JettyContainerService$ApiProxyHandler.handle(JettyContainerService.java:349) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at org.mortbay.jetty.Server.handle(Server.java:326) at org.mortbay.jetty.HttpConnection.handleRequest(HttpConnection.java:542) at org.mortbay.jetty.HttpConnection$RequestHandler.content(HttpConnection.java:938) at org.mortbay.jetty.HttpParser.parseNext(HttpParser.java:755) at org.mortbay.jetty.HttpParser.parseAvailable(HttpParser.java:218) at org.mortbay.jetty.HttpConnection.handle(HttpConnection.java:404) at org.mortbay.io.nio.SelectChannelEndPoint.run(SelectChannelEndPoint.java:409) at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:582) 3626 [21704474@qtp-26509496-0] INFO org.hibernate.dialect.Dialect - Using dialect: org.hibernate.dialect.HSQLDialect 3640 [21704474@qtp-26509496-0] INFO org.hibernate.transaction.TransactionFactoryFactory - Using default transaction strategy (direct JDBC transactions) 3644 [21704474@qtp-26509496-0] INFO org.hibernate.transaction.TransactionManagerLookupFactory - No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) 3644 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Automatic flush during beforeCompletion(): disabled 3644 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Automatic session close at end of transaction: disabled 3645 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Scrollable result sets: disabled 3645 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - JDBC3 getGeneratedKeys(): disabled 3645 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Connection release mode: auto 3646 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Default batch fetch size: 1 3646 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Generate SQL with comments: disabled 3646 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Order SQL updates by primary key: disabled 3646 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Order SQL inserts for batching: disabled 3646 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory 3651 [21704474@qtp-26509496-0] INFO org.hibernate.hql.ast.ASTQueryTranslatorFactory - Using ASTQueryTranslatorFactory 3651 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Query language substitutions: {} 3652 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - JPA-QL strict compliance: disabled 3652 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Second-level cache: enabled 3652 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Query cache: disabled 3664 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Cache region factory : org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge 3665 [21704474@qtp-26509496-0] INFO org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge - Cache provider: org.hibernate.cache.NoCacheProvider 3666 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Optimize cache for minimal puts: disabled 3666 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Structured second-level cache entries: disabled 3678 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Statistics: disabled 3678 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Deleted entity synthetic identifier rollback: disabled 3678 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Default entity-mode: pojo 3679 [21704474@qtp-26509496-0] INFO org.hibernate.cfg.SettingsFactory - Named query checking : enabled 3775 [21704474@qtp-26509496-0] INFO org.hibernate.impl.SessionFactoryImpl - building session factory 4155 [21704474@qtp-26509496-0] INFO org.hibernate.impl.SessionFactoryObjectFactory - Not binding factory to JNDI, no JNDI name configured 4170 [21704474@qtp-26509496-0] INFO org.hibernate.tool.hbm2ddl.SchemaUpdate - Running hbm2ddl schema update 4170 [21704474@qtp-26509496-0] INFO org.hibernate.tool.hbm2ddl.SchemaUpdate - fetching database metadata 4171 [21704474@qtp-26509496-0] ERROR org.hibernate.tool.hbm2ddl.SchemaUpdate - could not get database metadata java.sql.SQLException: socket creation error at org.hsqldb.jdbc.Util.sqlException(Unknown Source) at org.hsqldb.jdbc.jdbcConnection.(Unknown Source) at org.hsqldb.jdbcDriver.getConnection(Unknown Source) at org.hsqldb.jdbcDriver.connect(Unknown Source) at java.sql.DriverManager.getConnection(DriverManager.java:582) at java.sql.DriverManager.getConnection(DriverManager.java:154) at org.hibernate.connection.DriverManagerConnectionProvider.getConnection(DriverManagerConnectionProvider.java:133) at org.hibernate.tool.hbm2ddl.SuppliedConnectionProviderConnectionHelper.prepare(SuppliedConnectionProviderConnectionHelper.java:51) at org.hibernate.tool.hbm2ddl.SchemaUpdate.execute(SchemaUpdate.java:168) at org.hibernate.impl.SessionFactoryImpl.(SessionFactoryImpl.java:346) at org.hibernate.cfg.Configuration.buildSessionFactory(Configuration.java:1327) at se.kanit.projectmgr.db.HibernateUtil.(HibernateUtil.java:24) at se.kanit.web.projectmgr.server.issues.IssuesService.addIssue(IssuesService.java:26) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at com.google.appengine.tools.development.agent.runtime.Runtime.invoke(Runtime.java:100) at com.google.gwt.user.server.rpc.RPC.invokeAndEncodeResponse(RPC.java:562) at com.google.gwt.user.server.rpc.RemoteServiceServlet.processCall(RemoteServiceServlet.java:188) at com.google.gwt.user.server.rpc.RemoteServiceServlet.processPost(RemoteServiceServlet.java:224) at com.google.gwt.user.server.rpc.AbstractRemoteServiceServlet.doPost(AbstractRemoteServiceServlet.java:62) at javax.servlet.http.HttpServlet.service(HttpServlet.java:713) at javax.servlet.http.HttpServlet.service(HttpServlet.java:806) at org.mortbay.jetty.servlet.ServletHolder.handle(ServletHolder.java:511) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1166) at com.google.appengine.api.blobstore.dev.ServeBlobFilter.doFilter(ServeBlobFilter.java:51) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at com.google.apphosting.utils.servlet.TransactionCleanupFilter.doFilter(TransactionCleanupFilter.java:43) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at com.google.appengine.tools.development.StaticFileFilter.doFilter(StaticFileFilter.java:122) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java:388) at org.mortbay.jetty.security.SecurityHandler.handle(SecurityHandler.java:216) at org.mortbay.jetty.servlet.SessionHandler.handle(SessionHandler.java:182) at org.mortbay.jetty.handler.ContextHandler.handle(ContextHandler.java:765) at org.mortbay.jetty.webapp.WebAppContext.handle(WebAppContext.java:418) at com.google.apphosting.utils.jetty.DevAppEngineWebAppContext.handle(DevAppEngineWebAppContext.java:70) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at com.google.appengine.tools.development.JettyContainerService$ApiProxyHandler.handle(JettyContainerService.java:349) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at org.mortbay.jetty.Server.handle(Server.java:326) at org.mortbay.jetty.HttpConnection.handleRequest(HttpConnection.java:542) at org.mortbay.jetty.HttpConnection$RequestHandler.content(HttpConnection.java:938) at org.mortbay.jetty.HttpParser.parseNext(HttpParser.java:755) at org.mortbay.jetty.HttpParser.parseAvailable(HttpParser.java:218) at org.mortbay.jetty.HttpConnection.handle(HttpConnection.java:404) at org.mortbay.io.nio.SelectChannelEndPoint.run(SelectChannelEndPoint.java:409) at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:582) 4172 [21704474@qtp-26509496-0] ERROR org.hibernate.tool.hbm2ddl.SchemaUpdate - could not complete schema update java.sql.SQLException: socket creation error at org.hsqldb.jdbc.Util.sqlException(Unknown Source) at org.hsqldb.jdbc.jdbcConnection.(Unknown Source) at org.hsqldb.jdbcDriver.getConnection(Unknown Source) at org.hsqldb.jdbcDriver.connect(Unknown Source) at java.sql.DriverManager.getConnection(DriverManager.java:582) at java.sql.DriverManager.getConnection(DriverManager.java:154) at org.hibernate.connection.DriverManagerConnectionProvider.getConnection(DriverManagerConnectionProvider.java:133) at org.hibernate.tool.hbm2ddl.SuppliedConnectionProviderConnectionHelper.prepare(SuppliedConnectionProviderConnectionHelper.java:51) at org.hibernate.tool.hbm2ddl.SchemaUpdate.execute(SchemaUpdate.java:168) at org.hibernate.impl.SessionFactoryImpl.(SessionFactoryImpl.java:346) at org.hibernate.cfg.Configuration.buildSessionFactory(Configuration.java:1327) at se.kanit.projectmgr.db.HibernateUtil.(HibernateUtil.java:24) at se.kanit.web.projectmgr.server.issues.IssuesService.addIssue(IssuesService.java:26) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at com.google.appengine.tools.development.agent.runtime.Runtime.invoke(Runtime.java:100) at com.google.gwt.user.server.rpc.RPC.invokeAndEncodeResponse(RPC.java:562) at com.google.gwt.user.server.rpc.RemoteServiceServlet.processCall(RemoteServiceServlet.java:188) at com.google.gwt.user.server.rpc.RemoteServiceServlet.processPost(RemoteServiceServlet.java:224) at com.google.gwt.user.server.rpc.AbstractRemoteServiceServlet.doPost(AbstractRemoteServiceServlet.java:62) at javax.servlet.http.HttpServlet.service(HttpServlet.java:713) at javax.servlet.http.HttpServlet.service(HttpServlet.java:806) at org.mortbay.jetty.servlet.ServletHolder.handle(ServletHolder.java:511) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1166) at com.google.appengine.api.blobstore.dev.ServeBlobFilter.doFilter(ServeBlobFilter.java:51) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at com.google.apphosting.utils.servlet.TransactionCleanupFilter.doFilter(TransactionCleanupFilter.java:43) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at com.google.appengine.tools.development.StaticFileFilter.doFilter(StaticFileFilter.java:122) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java:388) at org.mortbay.jetty.security.SecurityHandler.handle(SecurityHandler.java:216) at org.mortbay.jetty.servlet.SessionHandler.handle(SessionHandler.java:182) at org.mortbay.jetty.handler.ContextHandler.handle(ContextHandler.java:765) at org.mortbay.jetty.webapp.WebAppContext.handle(WebAppContext.java:418) at com.google.apphosting.utils.jetty.DevAppEngineWebAppContext.handle(DevAppEngineWebAppContext.java:70) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at com.google.appengine.tools.development.JettyContainerService$ApiProxyHandler.handle(JettyContainerService.java:349) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at org.mortbay.jetty.Server.handle(Server.java:326) at org.mortbay.jetty.HttpConnection.handleRequest(HttpConnection.java:542) at org.mortbay.jetty.HttpConnection$RequestHandler.content(HttpConnection.java:938) at org.mortbay.jetty.HttpParser.parseNext(HttpParser.java:755) at org.mortbay.jetty.HttpParser.parseAvailable(HttpParser.java:218) at org.mortbay.jetty.HttpConnection.handle(HttpConnection.java:404) at org.mortbay.io.nio.SelectChannelEndPoint.run(SelectChannelEndPoint.java:409) at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:582) 4293 [21704474@qtp-26509496-0] WARN org.hibernate.util.JDBCExceptionReporter - SQL Error: -80, SQLState: 08000 4293 [21704474@qtp-26509496-0] ERROR org.hibernate.util.JDBCExceptionReporter - socket creation error Cannot open connection org.hibernate.exception.JDBCConnectionException: Cannot open connection at org.hibernate.exception.SQLStateConverter.convert(SQLStateConverter.java:97) at org.hibernate.exception.JDBCExceptionHelper.convert(JDBCExceptionHelper.java:66) at org.hibernate.exception.JDBCExceptionHelper.convert(JDBCExceptionHelper.java:52) at org.hibernate.jdbc.ConnectionManager.openConnection(ConnectionManager.java:449) at org.hibernate.jdbc.ConnectionManager.getConnection(ConnectionManager.java:167) at org.hibernate.jdbc.JDBCContext.connection(JDBCContext.java:142) at org.hibernate.transaction.JDBCTransaction.begin(JDBCTransaction.java:85) at org.hibernate.impl.SessionImpl.beginTransaction(SessionImpl.java:1353) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at com.google.appengine.tools.development.agent.runtime.Runtime.invoke(Runtime.java:100) at org.hibernate.context.ThreadLocalSessionContext$TransactionProtectionWrapper.invoke(ThreadLocalSessionContext.java:342) at $Proxy7.beginTransaction(Unknown Source) at se.kanit.projectmgr.db.HibernateUtil.saveOrUpdate(HibernateUtil.java:115) at se.kanit.web.projectmgr.server.issues.IssuesService.addIssue(IssuesService.java:26) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at com.google.appengine.tools.development.agent.runtime.Runtime.invoke(Runtime.java:100) at com.google.gwt.user.server.rpc.RPC.invokeAndEncodeResponse(RPC.java:562) at com.google.gwt.user.server.rpc.RemoteServiceServlet.processCall(RemoteServiceServlet.java:188) at com.google.gwt.user.server.rpc.RemoteServiceServlet.processPost(RemoteServiceServlet.java:224) at com.google.gwt.user.server.rpc.AbstractRemoteServiceServlet.doPost(AbstractRemoteServiceServlet.java:62) at javax.servlet.http.HttpServlet.service(HttpServlet.java:713) at javax.servlet.http.HttpServlet.service(HttpServlet.java:806) at org.mortbay.jetty.servlet.ServletHolder.handle(ServletHolder.java:511) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1166) at com.google.appengine.api.blobstore.dev.ServeBlobFilter.doFilter(ServeBlobFilter.java:51) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at com.google.apphosting.utils.servlet.TransactionCleanupFilter.doFilter(TransactionCleanupFilter.java:43) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at com.google.appengine.tools.development.StaticFileFilter.doFilter(StaticFileFilter.java:122) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java:388) at org.mortbay.jetty.security.SecurityHandler.handle(SecurityHandler.java:216) at org.mortbay.jetty.servlet.SessionHandler.handle(SessionHandler.java:182) at org.mortbay.jetty.handler.ContextHandler.handle(ContextHandler.java:765) at org.mortbay.jetty.webapp.WebAppContext.handle(WebAppContext.java:418) at com.google.apphosting.utils.jetty.DevAppEngineWebAppContext.handle(DevAppEngineWebAppContext.java:70) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at com.google.appengine.tools.development.JettyContainerService$ApiProxyHandler.handle(JettyContainerService.java:349) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at org.mortbay.jetty.Server.handle(Server.java:326) at org.mortbay.jetty.HttpConnection.handleRequest(HttpConnection.java:542) at org.mortbay.jetty.HttpConnection$RequestHandler.content(HttpConnection.java:938) at org.mortbay.jetty.HttpParser.parseNext(HttpParser.java:755) at org.mortbay.jetty.HttpParser.parseAvailable(HttpParser.java:218) at org.mortbay.jetty.HttpConnection.handle(HttpConnection.java:404) at org.mortbay.io.nio.SelectChannelEndPoint.run(SelectChannelEndPoint.java:409) at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:582) Caused by: java.sql.SQLException: socket creation error at org.hsqldb.jdbc.Util.sqlException(Unknown Source) at org.hsqldb.jdbc.jdbcConnection.(Unknown Source) at org.hsqldb.jdbcDriver.getConnection(Unknown Source) at org.hsqldb.jdbcDriver.connect(Unknown Source) at java.sql.DriverManager.getConnection(DriverManager.java:582) at java.sql.DriverManager.getConnection(DriverManager.java:154) at org.hibernate.connection.DriverManagerConnectionProvider.getConnection(DriverManagerConnectionProvider.java:133) at org.hibernate.jdbc.ConnectionManager.openConnection(ConnectionManager.java:446) ... 49 more Any tips and ideas are greatly appreciated. Cheers. Toby.

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  • How to obtain a random sub-datatable from another data table

    - by developerit
    Introduction In this article, I’ll show how to get a random subset of data from a DataTable. This is useful when you already have queries that are filtered correctly but returns all the rows. Analysis I came across this situation when I wanted to display a random tag cloud. I already had the query to get the keywords ordered by number of clicks and I wanted to created a tag cloud. Tags that are the most popular should have more chance to get picked and should be displayed larger than less popular ones. Implementation In this code snippet, there is everything you need. ' Min size, in pixel for the tag Private Const MIN_FONT_SIZE As Integer = 9 ' Max size, in pixel for the tag Private Const MAX_FONT_SIZE As Integer = 14 ' Basic function that retreives Tags from a DataBase Public Shared Function GetTags() As MediasTagsDataTable ' Simple call to the TableAdapter, to get the Tags ordered by number of clicks Dim dt As MediasTagsDataTable = taMediasTags.GetDataValide ' If the query returned no result, return an empty DataTable If dt Is Nothing OrElse dt.Rows.Count < 1 Then Return New MediasTagsDataTable End If ' Set the font-size of the group of data ' We are dividing our results into sub set, according to their number of clicks ' Example: 10 results -> [0,2] will get font size 9, [3,5] will get font size 10, [6,8] wil get 11, ... ' This is the number of elements in one group Dim groupLenth As Integer = CType(Math.Floor(dt.Rows.Count / (MAX_FONT_SIZE - MIN_FONT_SIZE)), Integer) ' Counter of elements in the same group Dim counter As Integer = 0 ' Counter of groups Dim groupCounter As Integer = 0 ' Loop througt the list For Each row As MediasTagsRow In dt ' Set the font-size in a custom column row.c_FontSize = MIN_FONT_SIZE + groupCounter ' Increment the counter counter += 1 ' If the group counter is less than the counter If groupLenth <= counter Then ' Start a new group counter = 0 groupCounter += 1 End If Next ' Return the new DataTable with font-size Return dt End Function ' Function that generate the random sub set Public Shared Function GetRandomSampleTags(ByVal KeyCount As Integer) As MediasTagsDataTable ' Get the data Dim dt As MediasTagsDataTable = GetTags() ' Create a new DataTable that will contains the random set Dim rep As MediasTagsDataTable = New MediasTagsDataTable ' Count the number of row in the new DataTable Dim count As Integer = 0 ' Random number generator Dim rand As New Random() While count < KeyCount Randomize() ' Pick a random row Dim r As Integer = rand.Next(0, dt.Rows.Count - 1) Dim tmpRow As MediasTagsRow = dt(r) ' Import it into the new DataTable rep.ImportRow(tmpRow) ' Remove it from the old one, to be sure not to pick it again dt.Rows.RemoveAt(r) ' Increment the counter count += 1 End While ' Return the new sub set Return rep End Function Pro’s This method is good because it doesn’t require much work to get it work fast. It is a good concept when you are working with small tables, let says less than 100 records. Con’s If you have more than 100 records, out of memory exception may occur since we are coping and duplicating rows. I would consider using a stored procedure instead.

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  • SQL Server express service is not starting

    - by Mahdi Ghiasi
    I've bought my first VPS yesterday, and I have installed Microsoft SQL Server 2012 Express on it. Then I have restarted my VPS. But SQL Server Service didn't start. I've tried to start it manually, but It can't start: What is the problem? How to solve it? P.S: This is my first server management, and I'm a newbie, if you need any further details about this, please leave a comment. I'll update the question. Update 1: This is some log details from Event viewer that I thought that they may be useful for this problem: FCB::Open failed: Could not open file e:\sql11_main_t.obj.x86release\sql\mkmastr\databases\objfre\i386\MSDBData.mdf for file number 1. OS error: 3(The system cannot find the path specified.). The resource database build version is 11.00.3000. This is an informational message only. No user action is required. FileMgr::StartLogFiles: Operating system error 2(The system cannot find the file specified.) occurred while creating or opening file 'e:\sql11_main_t.obj.x86release\sql\mkmastr\databases\objfre\i386\MSDBLog.ldf'. Diagnose and correct the operating system error, and retry the operation. Starting up database 'model'. FCB::Open failed: Could not open file e:\sql11_main_t.obj.x86release\sql\mkmastr\databases\objfre\i386\model.mdf for file number 1. OS error: 3(The system cannot find the path specified.). FileMgr::StartLogFiles: Operating system error 2(The system cannot find the file specified.) occurred while creating or opening file 'e:\sql11_main_t.obj.x86release\sql\mkmastr\databases\objfre\i386\modellog.ldf'. Diagnose and correct the operating system error, and retry the operation. I'm confused about these e:\s, my VPS has just one C:\ drive, So what is e:\ ?

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  • Strange permission errors in new PostgreSQL installation

    - by Bart van Heukelom
    A freshly installed PostgreSQL (with configuration overwritten) won't start: $ sudo service postgresql start * Starting PostgreSQL 9.1 database server * Error: could not read /etc/postgresql/9.1/main/postgresql.conf: Permission denied Looks like it should be able to read it though: $ ls -l postgresql.conf -rw------- 1 postgres postgres 19450 2012-06-14 10:07 postgresql.conf But fine, I'll add chmod +r it to test if that works. $ sudo chmod +r postgresql.conf $ sudo service postgresql start * Starting PostgreSQL 9.1 database server * The PostgreSQL server failed to start. Please check the log output: Error: Could not open log file /var/log/postgresql/postgresql-9.1-main.log Huh? $ ls -l /var/log/postgresql/ total 4 -rw-r----- 1 postgres adm 827 2012-06-14 10:07 postgresql-9.1-main.log I don't get it. What can be wrong here? This used to work before. Can I maybe monitor what process attempts to open the file? It's Ubuntu 11.10 on EC2, using Chef. For completeness, here's the recipe: # Install PostgreSQL package "postgresql-9.1" # Stop server service "postgresql" do action :stop end # Overwrite configuration (setting data dir) template "/etc/postgresql/9.1/main/postgresql.conf" do source "postgresql-conf.erb" owner "postgres" group "postgres" end # Start server service "postgresql" do action :start end

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  • Windows web server and SQL Server on same dedicated server

    - by asinc
    I'm currently trying to decide on the best approach to handle hosting a few moderate traffic websites for production e-commerce and online applications. We'd like to move to a dedicated server and are looking at this as the most likely machine: Quad Core Intel Core2Quad Q9550 Processor, 2.83 Ghz X 4, 4 GB Kingston Ram This would run Windows Web Server 2008 R2 x64 and potentially also Sql Server Web 2008 and SmarterMail server. Given that we already pay for a high-end VPS for development, testing, shared version control we'd like to avoid going with two servers for production. We'd like to avoid using shared sql server hosting and have thought of using the development server as the database server as an option too - but potentially a security risk due to use for development by internal and contract users. The questions are: - Do you feel there would be performance degradation by running this on the same machine? - Are there significant issues to be concerned about if we do this? We understand that best practice would be to run separate db and app servers but the volume of traffic is currently not that high and adding another server just for database is currently too costly. - What are others doing out there? Alternatively, would you recommend instead going with two separate VPS servers with 2GB RAM each on Hyper-v which would be about the same cost as the single dedicated server above? Thanks!

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  • Fetching e-mails into Redmine via IMAP

    - by Danilo Bargen
    I'm trying to fetch e-mails into Redmine via IMAP. The e-mails I'm generating look like this: FooBar Ltd 123456 http://example.com/Foobar-Ltd-123456.html Project: backend Tracker: Dataerror Beschreibung: This is the description =========================== CLIENT_IP: 192.168.1.215 HTTP_USER_AGENT: mozilla/asdfjköl I try to fetch them into Redmine via this command: rake -f /var/www/projects/redmine/Rakefile redmine:email:receive_imap \ RAILS_ENV="production" host=example.com port=993 ssl=true username=redmine \ password=1234 project=myproject tracker=other \ allow_override=project,tracker,category,priority \ move_on_success=read move_on_failure=failed But the e-mails get moved into the failed folder. I had this setup running some time ago with a different e-mail generator but pretty much the same template, and I can't figure out why it's not working. The permissions seem to be OK too. In order to further debug this issue, I need some logfiles. Are there any logfiles written by this command? Or are there any other suggestions to solve this issue? My environment: danilo@jabba:/var/www/projects/redmine$ RAILS_ENV=production script/about About your application's environment Ruby version 1.8.7 (i486-linux) RubyGems version 1.3.5 Rack version 1.0 Rails version 2.3.5 Active Record version 2.3.5 Active Resource version 2.3.5 Action Mailer version 2.3.5 Active Support version 2.3.5 Application root /var/www/projects/redmine Environment production Database adapter mysql Database schema version 20100819172912

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  • Commvault Oracle RMAN Restore to new host

    - by Glenn Stauffer
    We use Commvault Simpana 8 and I have a situation where I have backups of an Oracle database on tape that were taken from Host A. Host A suffered a disk failure (lost its raid configuration) and the sys admins are trying to restore it; in the meantime, I'd working to bring the database back up on another host - Host B. I'm running into problems and am trying to sort out the parameters that need to be passed to the Commvault media agent to get this to work. Unfortunately, I do not have access to Commvault support and the backup person is unavailable. Any one have a clue? The backups are there and the media agent reported a successful write when they ran last night. This is what fails: RMAN run { allocate channel t1 device type sbt_tape parms='SBT_LIBRARY=/usr/local/galaxy/Base/libobk.so,BLKSIZE=262144, ENV=(CvClientName=dbsrv2,CvInstanceName=Instance001, CVOraRacDBName=BBDB, CVOraRACDBClientName=BBDB)'; restore spfile to pfile '/tmp/bbdb.ora' from autobackup; }2 3 4 allocated channel: t1 channel t1: sid=34 devtype=SBT_TAPE channel t1: CommVault Systems for Oracle: Version 7.0.0(Build76) Starting restore at 09-MAY-10 channel t1: looking for autobackup on day: 20100509 channel t1: autobackup found: c-3941155360-20100509-01 released channel: t1 RMAN-00571: =========================================================== RMAN-00569: =============== ERROR MESSAGE STACK FOLLOWS =============== RMAN-00571: =========================================================== RMAN-03002: failure of restore command at 05/09/2010 18:01:35 ORA-19870: error reading backup piece c-3941155360-20100509-01 ORA-19507: failed to retrieve sequential file, handle="c-3941155360-20100509-01", parms="" ORA-27029: skgfrtrv: sbtrestore returned error ORA-19511: Error received from media manager layer, error text: sbtrestore: Job[0] thread[26316]: InitializeCLRestore() failed.

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  • Why can't I delete my depot on Perforce?

    - by teukkam
    I'm just messing around in a local Perforce database, trying to figure out how I can reset Perforce back to a previous state without journaling or deleting and recreating the database files. I have some depots without files, one of them is called "sandbox". I created it with the p4 depot command either from the command line or using the P4Python API (at this point I don't remember which). When I type: p4 depot -d sandbox I get this: Depot sandbox isn't empty. To delete a depot, all file revisions must be removed and all lazy copy references from other depots must be severed. Use 'p4 obliterate' or 'p4 snap' to break file linkages from other depots, then clear this depot with 'p4 obliterate', then retry the deletion. I tried p4 obliterate -y sandbox which just says No records to delete. which is expectable as the depot is empty. Anyway it doesn't change the result from p4 depot -d. There are also no connections from other depots as the error message suggests. Any idea what is happening and is there a foolproof way to force a depot to be deleted without deleting the server files altogether? Ultimately I want to do this automatically from P4Python.

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  • Commvault Oracle RMAN Restore to new host

    - by Glenn Stauffer
    We use Commvault Simpana 8 and I have a situation where I have backups of an Oracle database on tape that were taken from Host A. Host A suffered a disk failure (lost its raid configuration) and the sys admins are trying to restore it; in the meantime, I'd working to bring the database back up on another host - Host B. I'm running into problems and am trying to sort out the parameters that need to be passed to the Commvault media agent to get this to work. Unfortunately, I do not have access to Commvault support and the backup person is unavailable. Any one have a clue? The backups are there and the media agent reported a successful write when they ran last night. This is what fails: run { allocate channel t1 device type sbt_tape parms='SBT_LIBRARY=/usr/local/galaxy/Base/libobk.so,BLKSIZE=262144, ENV=(CvClientName=dbsrv2,CvInstanceName=Instance001, CVOraSID=BBPROD)'; restore spfile to pfile '/tmp/bbdb.ora' from autobackup; } allocated channel: t1 channel t1: sid=34 devtype=SBT_TAPE channel t1: CommVault Systems for Oracle: Version 7.0.0(Build76) Starting restore at 09-MAY-10 channel t1: looking for autobackup on day: 20100509 channel t1: autobackup found: c-3941155360-20100509-01 released channel: t1 RMAN-00571: =========================================================== RMAN-00569: =============== ERROR MESSAGE STACK FOLLOWS =============== RMAN-00571: =========================================================== RMAN-03002: failure of restore command at 05/09/2010 18:01:35 ORA-19870: error reading backup piece c-3941155360-20100509-01 ORA-19507: failed to retrieve sequential file, handle="c-3941155360-20100509-01", parms="" ORA-27029: skgfrtrv: sbtrestore returned error ORA-19511: Error received from media manager layer, error text: sbtrestore: Job[0] thread[26316]: InitializeCLRestore() failed.

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  • Pre-filtering and shaping OData feeds using WCF Data Services and the Entity Framework - Part 2

    - by rajbk
    In the previous post, you saw how to create an OData feed and pre-filter the data. In this post, we will see how to shape the data. A sample project is attached at the bottom of this post. Pre-filtering and shaping OData feeds using WCF Data Services and the Entity Framework - Part 1 Shaping the feed The Product feed we created earlier returns too much information about our products. Let’s change this so that only the following properties are returned – ProductID, ProductName, QuantityPerUnit, UnitPrice, UnitsInStock. We also want to return only Products that are not discontinued.  Splitting the Entity To shape our data according to the requirements above, we are going to split our Product Entity into two and expose one through the feed. The exposed entity will contain only the properties listed above. We will use the other Entity in our Query Interceptor to pre-filter the data so that discontinued products are not returned. Go to the design surface for the Entity Model and make a copy of the Product entity. A “Product1” Entity gets created.   Rename Product1 to ProductDetail. Right click on the Product entity and select “Add Association” Make a one to one association between Product and ProductDetails.   Keep only the properties we wish to expose on the Product entity and delete all other properties on it (see diagram below). You delete a property on an Entity by right clicking on the property and selecting “delete”. Keep the ProductID on the ProductDetail. Delete any other property on the ProductDetail entity that is already present in the Product entity. Your design surface should look like below:    Mapping Entity to Database Tables Right click on “ProductDetail” and go to “Table Mapping”   Add a mapping to the “Products” table in the Mapping Details.   After mapping ProductDetail, you should see the following.   Add a referential constraint. Lets add a referential constraint which is similar to a referential integrity constraint in SQL. Double click on the Association between the Entities and add the constraint with “Principal” set to “Product”. Let us review what we did so far. We made a copy of the Product entity and called it ProductDetail We created a one to one association between these entities Excluding the ProductID, we made sure properties were not duplicated between these entities  We added a ProductDetail entity to Products table mapping (Entity to Database). We added a referential constraint between the entities. Lets build our project. We get the following error: ”'NortwindODataFeed.Product' does not contain a definition for 'Discontinued' and no extension method 'Discontinued' accepting a first argument of type 'NortwindODataFeed.Product' could be found …" The reason for this error is because our Product Entity no longer has a “Discontinued” property. We “moved” it to the ProductDetail entity since we want our Product Entity to contain only properties that will be exposed by our feed. Since we have a one to one association between the entities, we can easily rewrite our Query Interceptor like so: [QueryInterceptor("Products")] public Expression<Func<Product, bool>> OnReadProducts() { return o => o.ProductDetail.Discontinued == false; } Similarly, all “hidden” properties of the Product table are available to us internally (through the ProductDetail Entity) for any additional logic we wish to implement. Compile the project and view the feed. We see that the feed returns only the properties that were part of the requirement.   To see the data in JSON format, you have to create a request with the following request header Accept: application/json, text/javascript, */* (easy to do in jQuery) The result should look like this: { "d" : { "results": [ { "__metadata": { "uri": "http://localhost.:2576/DataService.svc/Products(1)", "type": "NorthwindModel.Product" }, "ProductID": 1, "ProductName": "Chai", "QuantityPerUnit": "10 boxes x 20 bags", "UnitPrice": "18.0000", "UnitsInStock": 39 }, { "__metadata": { "uri": "http://localhost.:2576/DataService.svc/Products(2)", "type": "NorthwindModel.Product" }, "ProductID": 2, "ProductName": "Chang", "QuantityPerUnit": "24 - 12 oz bottles", "UnitPrice": "19.0000", "UnitsInStock": 17 }, { ... ... If anyone has the $format operation working, please post a comment. It was not working for me at the time of writing this.  We have successfully pre-filtered our data to expose only products that have not been discontinued and shaped our data so that only certain properties of the Entity are exposed. Note that there are several other ways you could implement this like creating a QueryView, Stored Procedure or DefiningQuery. You have seen how easy it is to create an OData feed, shape the data and pre-filter it by hardly writing any code of your own. For more details on OData, Google it with your favorite search engine :-) Also check out the one of the most passionate persons I have ever met, Pablo Castro – the Architect of Aristoria WCF Data Services. Watch his MIX 2010 presentation titled “OData: There's a Feed for That” here. Download Sample Project for VS 2010 RTM NortwindODataFeed.zip

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  • ldap_modify: Insufficient access (50)

    - by Lynn Owens
    I am running an OpenLDAP 2.4 server that uses the SSL service for communication. It works for lookups. I am trying to add mirror mode replication. So this is the command that I'm executing: ldapmodify -D "cn=myuser,dc=mydomain,dc=com" -H ldaps://myloadbalancer -W -f /etc/ldap/ldif/server_id.ldif Where this is my server_id.ldif: dn: cn=config changetype: modify replace: olcServerID olcServerID: 1 myserver1 olcServerID: 2 myserver2 and this is my cn\=config.ldif in the slapd.d tree of text files: dn: cn=config objectClass: olcGlobal cn: config olcArgsFile: /var/run/slapd/slapd.args olcPidFile: /var/run/slapd/slapd.pid olcToolThreads: 1 structuralObjectClass: olcGlobal entryUUID: ff9689de-c61d-1031-880b-c3eb45d66183 creatorsName: cn=config createTimestamp: 20121118224947Z olcLogLevel: stats olcTLSCertificateFile: /etc/ldap/certs/ldapscert.pem olcTLSCertificateKeyFile: /etc/ldap/certs/ldapskey.pem olcTLSCACertificateFile: /etc/ldap/certs/ldapscert.pem olcTLSVerifyClient: never entryCSN: 20121119022009.770692Z#000000#000#000000 modifiersName: gidNumber=0+uidNumber=0,cn=peercred,cn=external,cn=auth modifyTimestamp: 20121119022009Z But unfortunately I'm getting this: Enter LDAP Password: modifying entry "cn=config" ldap_modify: Insufficient access (50) If I try to specify the config database I get this: ldapmodify -H 'ldaps://myloadbalancer/cn=config' -D "cn=myuser,cn=config" -W -f ./server_id.ldif Enter LDAP Password: ldap_bind: Invalid credentials (49)} Does anyone know how I can add the serverID to the config database so that I can complete the setup of mirror mode?

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  • Crazy problem with Nginx, PHP5-FPM on Ubuntu

    - by Emmanuel
    I've been trying to get a domain from shared hosting to my new VPS. Everything was working just 100% fine, and then all of a sudden rewrites stopped working, pictures that should work started returning 404s. I've got no idea why, but for some reason on my site: http://www.onlythebible.com/ only the home page works, all the other pages depend on rewrites which were working perfectly fine at one stage, but all of a sudden stopped working. Some of the pictures like this url: http://www.onlythebible.com/bgsPreview/Matthew-8.10.jpg which doesn't use a rewrite throws a 404? I almost certain it was nothing to do with the nginx configuration. I've got suspicions that it could be something to do with php5-fpm? The funny thing is, all of a sudden it started working again. And then an hour or so later it broke again and has now gone back to only displaying the home-page and all of the links (and some of the pictures) are just showing 404s. Does anyone have an idea of what the problem might be? I'm pretty new to the whole Linux VPS thing, but this just seems very strange. *edit Here's a line from the error log which might shed some light on the problem: 2011/02/06 03:04:59 [error] 2873#0: *220 open() "/usr/local/nginx/html/bgsPreview/Matthew-8.10.jpg" failed (2: No such file or directory), client: 114.77.115.211, server: onlythebible.com, request: "GET /bgsPreview/Matthew-8.10.jpg HTTP/1.1", host: "www.onlythebible.com", referrer: "http://www.onlythebible.com/" I wonder why it's trying to find the file in /usr/local/nginx/html instead of the proper root which is /var/www/ etc... Oh, and for some reason it's just started working again... for how long I don't know. Another thing that was a bit weird, is that the pages on my website are pulled from a database. But when I edited the database, the pages didn't change... It's almost like they've been cached or something.

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  • ASP.Net application can no longer write to DB after having run out of disk space

    - by remi.despres-smyth
    I'm a software developer troubleshooting a sticky problem on a client's production server, and I've got a bit of a problem. They have a virtual server running Windows Server 2008, SQL Server 2008 R1 and IIS7. It was provisioned with two partitions: one that has the OS (~15 Gig), and the other has IIS' web sites (another ~15 Gig). My application that's running this server has been running perfectly well, up until about an hour ago, when it started throwing System.IO.IOException: "There is not enough space on disk". As soon as my client notified me, I cleared up some space on C:\, emptied the recycle bin, and restarted SQL Server and IIS. The web server came back up and the application was running, but it no longer saves information to the database. No error message is coming up, the application can get information out of the DB, but it can no longer save data back to it. I rebooted the server, to no effect. I spoke with a sys admin at the hosting company, and he says SQL Server appears to have come up fine and the database is not in read-only mode. I confirmed that, as I can add records to tables from SQL Server Management Studio. I looked at the event log immediately after trying to save an edited record in the app, and no new events appear in there that I can tell. I'm assuming this is related to having run out of space, as it was all working fine prior to that, but I'm at a bit of a loss as to what exactly needs a kick in the pants to get going again. Can anyone help me out? What the heck is going on here?

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  • Big Data – Role of Cloud Computing in Big Data – Day 11 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the NewSQL. In this article we will understand the role of Cloud in Big Data Story What is Cloud? Cloud is the biggest buzzword around from last few years. Everyone knows about the Cloud and it is extremely well defined online. In this article we will discuss cloud in the context of the Big Data. Cloud computing is a method of providing a shared computing resources to the application which requires dynamic resources. These resources include applications, computing, storage, networking, development and various deployment platforms. The fundamentals of the cloud computing are that it shares pretty much share all the resources and deliver to end users as a service.  Examples of the Cloud Computing and Big Data are Google and Amazon.com. Both have fantastic Big Data offering with the help of the cloud. We will discuss this later in this blog post. There are two different Cloud Deployment Models: 1) The Public Cloud and 2) The Private Cloud Public Cloud Public Cloud is the cloud infrastructure build by commercial providers (Amazon, Rackspace etc.) creates a highly scalable data center that hides the complex infrastructure from the consumer and provides various services. Private Cloud Private Cloud is the cloud infrastructure build by a single organization where they are managing highly scalable data center internally. Here is the quick comparison between Public Cloud and Private Cloud from Wikipedia:   Public Cloud Private Cloud Initial cost Typically zero Typically high Running cost Unpredictable Unpredictable Customization Impossible Possible Privacy No (Host has access to the data Yes Single sign-on Impossible Possible Scaling up Easy while within defined limits Laborious but no limits Hybrid Cloud Hybrid Cloud is the cloud infrastructure build with the composition of two or more clouds like public and private cloud. Hybrid cloud gives best of the both the world as it combines multiple cloud deployment models together. Cloud and Big Data – Common Characteristics There are many characteristics of the Cloud Architecture and Cloud Computing which are also essentially important for Big Data as well. They highly overlap and at many places it just makes sense to use the power of both the architecture and build a highly scalable framework. Here is the list of all the characteristics of cloud computing important in Big Data Scalability Elasticity Ad-hoc Resource Pooling Low Cost to Setup Infastructure Pay on Use or Pay as you Go Highly Available Leading Big Data Cloud Providers There are many players in Big Data Cloud but we will list a few of the known players in this list. Amazon Amazon is arguably the most popular Infrastructure as a Service (IaaS) provider. The history of how Amazon started in this business is very interesting. They started out with a massive infrastructure to support their own business. Gradually they figured out that their own resources are underutilized most of the time. They decided to get the maximum out of the resources they have and hence  they launched their Amazon Elastic Compute Cloud (Amazon EC2) service in 2006. Their products have evolved a lot recently and now it is one of their primary business besides their retail selling. Amazon also offers Big Data services understand Amazon Web Services. Here is the list of the included services: Amazon Elastic MapReduce – It processes very high volumes of data Amazon DynammoDB – It is fully managed NoSQL (Not Only SQL) database service Amazon Simple Storage Services (S3) – A web-scale service designed to store and accommodate any amount of data Amazon High Performance Computing – It provides low-tenancy tuned high performance computing cluster Amazon RedShift – It is petabyte scale data warehousing service Google Though Google is known for Search Engine, we all know that it is much more than that. Google Compute Engine – It offers secure, flexible computing from energy efficient data centers Google Big Query – It allows SQL-like queries to run against large datasets Google Prediction API – It is a cloud based machine learning tool Other Players Besides Amazon and Google we also have other players in the Big Data market as well. Microsoft is also attempting Big Data with the Cloud with Microsoft Azure. Additionally Rackspace and NASA together have initiated OpenStack. The goal of Openstack is to provide a massively scaled, multitenant cloud that can run on any hardware. Thing to Watch The cloud based solutions provides a great integration with the Big Data’s story as well it is very economical to implement as well. However, there are few things one should be very careful when deploying Big Data on cloud solutions. Here is a list of a few things to watch: Data Integrity Initial Cost Recurring Cost Performance Data Access Security Location Compliance Every company have different approaches to Big Data and have different rules and regulations. Based on various factors, one can implement their own custom Big Data solution on a cloud. Tomorrow In tomorrow’s blog post we will discuss about various Operational Databases supporting Big Data. 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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  • Oracle Enterprise Data Quality: Ever Integration-ready

    - by Mala Narasimharajan
    It is closing in on a year now since Oracle’s acquisition of Datanomic, and the addition of Oracle Enterprise Data Quality (EDQ) to the Oracle software family. The big move has caused some big shifts in emphasis and some very encouraging excitement from the field.  To give an illustration, combined with a shameless promotion of how EDQ can help to give quick insights into your data, I did a quick Phrase Profile of the subject field of emails to the Global EDQ mailing list since it was set up last September. The results revealed a very clear theme:   Integration, Integration, Integration! As well as the important Siebel and Oracle Data Integrator (ODI) integrations, we have been asked about integration with a huge variety of Oracle applications, including EBS, Peoplesoft, CRM on Demand, Fusion, DRM, Endeca, RightNow, and more - and we have not stood still! While it would not have been possible to develop specific pre-integrations with all of the above within a year, we have developed a package of feature-rich out-of-the-box web services and batch processes that can be plugged into any application or middleware technology with ease. And with Siebel, they work out of the box. Oracle Enterprise Data Quality version 9.0.4 includes the Customer Data Services (CDS) pack – a ready set of standard processes with standard interfaces, to provide integrated: Address verification and cleansing  Individual matching Organization matching The services can are suitable for either Batch or Real-Time processing, and are enabled for international data, with simple configuration options driving the set of locale-specific dictionaries that are used. For example, large dictionaries are provided to support international name transcription and variant matching, including highly specialized handling for Arabic, Japanese, Chinese and Korean data. In total across all locales, CDS includes well over a million dictionary entries.   Excerpt from EDQ’s CDS Individual Name Standardization Dictionary CDS has been developed to replace the OEM of Informatica Identity Resolution (IIR) for attached Data Quality on the Oracle price list, but does this in a way that creates a ‘best of both worlds’ situation for customers, who can harness not only the out-of-the-box functionality of pre-packaged matching and standardization services, but also the flexibility of OEDQ if they want to customize the interfaces or the process logic, without having to learn more than one product. From a competitive point of view, we believe this stands us in good stead against our key competitors, including Informatica, who have separate ‘Identity Resolution’ and general DQ products, and IBM, who provide limited out-of-the-box capabilities (with a steep learning curve) in both their QualityStage data quality and Initiate matching products. Here is a brief guide to the main services provided in the pack: Address Verification and Standardization EDQ’s CDS Address Cleaning Process The Address Verification and Standardization service uses EDQ Address Verification (an OEM of Loqate software) to verify and clean addresses in either real-time or batch. The Address Verification processor is wrapped in an EDQ process – this adds significant capabilities over calling the underlying Address Verification API directly, specifically: Country-specific thresholds to determine when to accept the verification result (and therefore to change the input address) based on the confidence level of the API Optimization of address verification by pre-standardizing data where required Formatting of output addresses into the input address fields normally used by applications Adding descriptions of the address verification and geocoding return codes The process can then be used to provide real-time and batch address cleansing in any application; such as a simple web page calling address cleaning and geocoding as part of a check on individual data.     Duplicate Prevention Unlike Informatica Identity Resolution (IIR), EDQ uses stateless services for duplicate prevention to avoid issues caused by complex replication and synchronization of large volume customer data. When a record is added or updated in an application, the EDQ Cluster Key Generation service is called, and returns a number of key values. These are used to select other records (‘candidates’) that may match in the application data (which has been pre-seeded with keys using the same service). The ‘driving record’ (the new or updated record) is then presented along with all selected candidates to the EDQ Matching Service, which decides which of the candidates are a good match with the driving record, and scores them according to the strength of match. In this model, complex multi-locale EDQ techniques can be used to generate the keys and ensure that the right balance between performance and matching effectiveness is maintained, while ensuring that the application retains control of data integrity and transactional commits. The process is explained below: EDQ Duplicate Prevention Architecture Note that where the integration is with a hub, there may be an additional call to the Cluster Key Generation service if the master record has changed due to merges with other records (and therefore needs to have new key values generated before commit). Batch Matching In order to allow customers to use different match rules in batch to real-time, separate matching templates are provided for batch matching. For example, some customers want to minimize intervention in key user flows (such as adding new customers) in front end applications, but to conduct a more exhaustive match on a regular basis in the back office. The batch matching jobs are also used when migrating data between systems, and in this case normally a more precise (and automated) type of matching is required, in order to minimize the review work performed by Data Stewards.  In batch matching, data is captured into EDQ using its standard interfaces, and records are standardized, clustered and matched in an EDQ job before matches are written out. As with all EDQ jobs, batch matching may be called from Oracle Data Integrator (ODI) if required. When working with Siebel CRM (or master data in Siebel UCM), Siebel’s Data Quality Manager is used to instigate batch jobs, and a shared staging database is used to write records for matching and to consume match results. The CDS batch matching processes automatically adjust to Siebel’s ‘Full Match’ (match all records against each other) and ‘Incremental Match’ (match a subset of records against all of their selected candidates) modes. The Future The Customer Data Services Pack is an important part of the Oracle strategy for EDQ, offering a clear path to making Data Quality Assurance an integral part of enterprise applications, and providing a strong value proposition for adopting EDQ. We are planning various additions and improvements, including: An out-of-the-box Data Quality Dashboard Even more comprehensive international data handling Address search (suggesting multiple results) Integrated address matching The EDQ Customer Data Services Pack is part of the Enterprise Data Quality Media Pack, available for download at http://www.oracle.com/technetwork/middleware/oedq/downloads/index.html.

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  • SQL SERVER – PAGELATCH_DT, PAGELATCH_EX, PAGELATCH_KP, PAGELATCH_SH, PAGELATCH_UP – Wait Type – Day 12 of 28

    - by pinaldave
    This is another common wait type. However, I still frequently see people getting confused with PAGEIOLATCH_X and PAGELATCH_X wait types. Actually, there is a big difference between the two. PAGEIOLATCH is related to IO issues, while PAGELATCH is not related to IO issues but is oftentimes linked to a buffer issue. Before we delve deeper in this interesting topic, first let us understand what Latch is. Latches are internal SQL Server locks which can be described as very lightweight and short-term synchronization objects. Latches are not primarily to protect pages being read from disk into memory. It’s a synchronization object for any in-memory access to any portion of a log or data file.[Updated based on comment of Paul Randal] The difference between locks and latches is that locks seal all the involved resources throughout the duration of the transactions (and other processes will have no access to the object), whereas latches locks the resources during the time when the data is changed. This way, a latch is able to maintain the integrity of the data between storage engine and data cache. A latch is a short-living lock that is put on resources on buffer cache and in the physical disk when data is moved in either directions. As soon as the data is moved, the latch is released. Now, let us understand the wait stat type  related to latches. From Book On-Line: PAGELATCH_DT Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Destroy mode. PAGELATCH_EX Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Exclusive mode. PAGELATCH_KP Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Keep mode. PAGELATCH_SH Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Shared mode. PAGELATCH_UP Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. The latch request is in Update mode. PAGELATCH_X Explanation: When there is a contention of access of the in-memory pages, this wait type shows up. It is quite possible that some of the pages in the memory are of very high demand. For the SQL Server to access them and put a latch on the pages, it will have to wait. This wait type is usually created at the same time. Additionally, it is commonly visible when the TempDB has higher contention as well. If there are indexes that are heavily used, contention can be created as well, leading to this wait type. Reducing PAGELATCH_X wait: The following counters are useful to understand the status of the PAGELATCH: Average Latch Wait Time (ms): The wait time for latch requests that have to wait. Latch Waits/sec: This is the number of latch requests that could not be granted immediately. Total Latch Wait Time (ms): This is the total latch wait time for latch requests in the last second. If there is TempDB contention, I suggest that you read the blog post of Robert Davis right away. He has written an excellent blog post regarding how to find out TempDB contention. The same blog post explains the terms in the allocation of GAM, SGAM and PFS. If there was a TempDB contention, Paul Randal explains the optimal settings for the TempDB in his misconceptions series. Trace Flag 1118 can be useful but use it very carefully. I totally understand that this blog post is not as clear as my other blog posts. I suggest if this wait stats is on one of your higher wait type. Do leave a comment or send me an email and I will get back to you with my solution for your situation. May the looking at all other wait stats and types together become effective as this wait type can help suggest proper bottleneck in your system. Read all the post in the Wait Types and Queue series. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com)   Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • Spreadsheet RDBMS

    - by John Nilsson
    I'm looking for a software (or set of software) that will let me combine spreadsheet and database workflows. Data entry in spreadsheet to enable simple entry from clipboard, analysis based on joins, unions and aggregates and pivot/data pilot summaries. So far I've only found either spreadsheets OR db applications but no good combination. OO base with calc for tables doesn't support aggregates f.ex. Google Spreadsheet + Visualizaion API doesn't support unions or joins, zoho db doesn't let me paste from clipboard. Any hints on software that could be used? Basically I'm trying to do some analysis of my personal bank transactions. Problem 1, ETL. The data has to be moved from my bank to a database. My current solution is to manually copy and paste the data into one spread sheet per account from my internet bank. Pains: Not very scriptable. Lots of scrolling to reach the point to paste. Have to apply sorting and formatting to the pasted data each time. Problem 2, analysis. I then want to aggregate the different accounts in one sweep to track transfers per type of transfer over all accounts. The actual aggregation is still unsolved because I can't find a UNION equivalent in the spreadsheets I've tried.

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  • Open Source but not Free Software (or vice versa)

    - by TRiG
    The definition of "Free Software" from the Free Software Foundation: “Free software” is a matter of liberty, not price. To understand the concept, you should think of “free” as in “free speech,” not as in “free beer.” Free software is a matter of the users' freedom to run, copy, distribute, study, change and improve the software. More precisely, it means that the program's users have the four essential freedoms: The freedom to run the program, for any purpose (freedom 0). The freedom to study how the program works, and change it to make it do what you wish (freedom 1). Access to the source code is a precondition for this. The freedom to redistribute copies so you can help your neighbor (freedom 2). The freedom to distribute copies of your modified versions to others (freedom 3). By doing this you can give the whole community a chance to benefit from your changes. Access to the source code is a precondition for this. A program is free software if users have all of these freedoms. Thus, you should be free to redistribute copies, either with or without modifications, either gratis or charging a fee for distribution, to anyone anywhere. Being free to do these things means (among other things) that you do not have to ask or pay for permission to do so. The definition of "Open Source Software" from the Open Source Initiative: Open source doesn't just mean access to the source code. The distribution terms of open-source software must comply with the following criteria: Free Redistribution The license shall not restrict any party from selling or giving away the software as a component of an aggregate software distribution containing programs from several different sources. The license shall not require a royalty or other fee for such sale. Source Code The program must include source code, and must allow distribution in source code as well as compiled form. Where some form of a product is not distributed with source code, there must be a well-publicized means of obtaining the source code for no more than a reasonable reproduction cost preferably, downloading via the Internet without charge. The source code must be the preferred form in which a programmer would modify the program. Deliberately obfuscated source code is not allowed. Intermediate forms such as the output of a preprocessor or translator are not allowed. Derived Works The license must allow modifications and derived works, and must allow them to be distributed under the same terms as the license of the original software. Integrity of The Author's Source Code The license may restrict source-code from being distributed in modified form only if the license allows the distribution of "patch files" with the source code for the purpose of modifying the program at build time. The license must explicitly permit distribution of software built from modified source code. The license may require derived works to carry a different name or version number from the original software. No Discrimination Against Persons or Groups The license must not discriminate against any person or group of persons. No Discrimination Against Fields of Endeavor The license must not restrict anyone from making use of the program in a specific field of endeavor. For example, it may not restrict the program from being used in a business, or from being used for genetic research. Distribution of License The rights attached to the program must apply to all to whom the program is redistributed without the need for execution of an additional license by those parties. License Must Not Be Specific to a Product The rights attached to the program must not depend on the program's being part of a particular software distribution. If the program is extracted from that distribution and used or distributed within the terms of the program's license, all parties to whom the program is redistributed should have the same rights as those that are granted in conjunction with the original software distribution. License Must Not Restrict Other Software The license must not place restrictions on other software that is distributed along with the licensed software. For example, the license must not insist that all other programs distributed on the same medium must be open-source software. License Must Be Technology-Neutral No provision of the license may be predicated on any individual technology or style of interface. These definitions, although they derive from very different ideologies, are broadly compatible, and most Free Software is also Open Source Software and vice versa. I believe, however, that it is possible for this not to be the case: It is possible for software to be Open Source without being Free, or to be Free without being Open Source. Questions Is my belief correct? Is it possible for software to fall into one camp and not the other? Does any such software actually exist? Please give examples. Clarification I've already accepted an answer now, but I seem to have confused a lot of people, so perhaps a clarification is in order. I was not asking about the difference between copyleft (or "viral", though I don't like that term) and non-copyleft ("permissive") licenses. Nor was I asking about your personal idiosyncratic definitions of "Free" and "Open". I was asking about "Free Software as defined by the FSF" and "Open Source Software as defined by the OSI". Are the two always the same? Is it possible to be one without being the other? And the answer, it seems, is that it's impossible to be Free without being Open, but possible to be Open without being Free. Thank you everyone who actually answered the question.

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  • Finding all IP ranges blelonging to a specific ISP

    - by Jim Jim
    I'm having an issue with a certain individual who keeps scraping my site in an aggressive manner; wasting bandwidth and CPU resources. I've already implemented a system which tails my web server access logs, adds each new IP to a database, keeps track of the number of requests made from that IP, and then, if the same IP goes over a certain threshold of requests within a certain time period, it's blocked via iptables. It may sound elaborate, but as far as I know, there exists no pre-made solution designed to limit a certain IP to a certain amount of bandwidth/requests. This works fine for most crawlers, but an extremely persistent individual is getting a new IP from his/her ISP pool each time they're blocked. I would like to block the ISP entirely, but don't know how to go about it. Doing a whois on a few sample IPs, I can see that they all share the same "netname", "mnt-by", and "origin/AS". Is there a way I can query the ARIN/RIPE database for all subnets using the same mnt-by/AS/netname? If not, how else could I go about getting every IP belonging to this ISP? Thanks.

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  • SQL Server Management Studio not scripting all objects

    - by Ian Boyd
    i've been attempting to script a database using SQL Server 2005 Management Studio. i cannot get it to script some objects. It scripts others, but skips some. i can provide detailed screen shots the options being selected including all tables the folder where the script files will go the folder being empty before scripting the scripting process saying Sucess when scripting a table the destination folder no longer empty, with a hundred or so script files the script of some tables not being in the folder. And earlier SSMS would not script some views. Is this a known thing that the the Generate Scripts task does not generate scripts? Update Known issue on Microsoft Connect, but Microsoft couldn't repro the steps, so they closed closed the ticket. Fails on SQL Server 2005, also fails on SQL Server 2008. Update Two Some basic questions: 1.What version of SQL Server? Microsoft SQL Server 2000 - 8.00.194 (Intel X86) Microsoft SQL Server 2005 - 9.00.3042.00 (Intel X86) Microsoft SQL Server 2008 - 10.0.2531.0 (Intel X86) Microsoft SQL Server 2005 Management Studio: 9.00.4035.00 Microsoft SQL Server 2008 Management Studio: 10.0.1600.22 2.What O/S are you running on? Windows Server 2000 Windows Server 2003 Windows Server 2008 3.How are you logging in to SQL server? sa/password Trusted authentication 4.Have you verified your account has full access to all objects? Yes, i have access to all objects. 5.Can you use the objects that fail to script? (eg: select top(10) * from nonScriptingTable) Yes, all objects work fine. SQL Server Enterprise Manager can script the objects fine. Update Three They fail no matter what version of SQL Server you script against. It wasn't a problem in Enterprise Manager: Client Tools SQL Server 2000 SQL Server 2005 SQL Server 2008 ============ =============== =============== =============== 2000 Yes n/a n/a 2005 No No No 2008 No No No Update Four No errors found in the database using: DBCC CHECKDB go DBCC CHECKCONSTRAINTS go DBCC CHECKFILEGROUP go DBCC CHECKIDENT go DBCC CHECKCATALOG go EXECUTE sp_msforeachtable 'DBCC CHECKTABLE (''?'')' Honk if you hate SSMS.

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  • Snort/Barnyard2 Logging

    - by Eric
    I need some help with my Snort/Barnyard2 setup. My goal is to have Snort send unified2 logs to Barnyard2 and then have Barnyard2 send the data to other locations. Here is my currrent setup. OS Scientific Linux 6 Snort Version 2.9.2.3 Barnyard2 Version 2.1.9 Snort command snort -c /etc/snort/snort.conf -i eth2 & Barnyard2 command /usr/local/bin/barnyard2 -c /etc/snort/barnyard2.conf -d /var/log/snort -f snort.log -w /var/log/snort/barnyard.waldo & snort.conf output unified2: filename snort.log, limit 128 barnyard2.conf output alert_syslog: host=127.0.0.1 output database: log, mysql, user=snort dbname=snort password=password host=localhost With this setup, barnyard2 is showing all of the correct information in the database and I'm using BASE to view it on the web GUI. I was hoping to be able to send the full packet data to syslog with barnyard2 but after reading around, it seems that it is impossible to do that. So I then started trying to modify the snort.conf file and add lines like "output alert_full: alert.full". This definitely gave me a lot more information but still not the full packet data like I want. So my question is, is there anyway I can use barnyard2 to send the full packet data of alerts to a human readable file? Since I can't send it directly to syslog, I can create another process to take the data from that file and ship it off to another server. If not, what flags and/or snort.conf configuration would you recommend to get the most data possible but still be able to handle quite a bit of traffic? In the end of it all, these alerts will be shipped to a central server via a SSH tunnel. I'm trying to stay away from databases.

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  • Perl TDS character sets

    - by skiphoppy
    I'm using the FreeTDS driver with DBD::Sybase, connecting to an MS SQL Server. When I query certain values of certain records, I get this error: DBD::Sybase::st fetchrow_arrayref failed: OpenClient message: LAYER = (0) ORIGIN = (0) SEVERITY = (9) NUMBER = (99) Server , database Message String: WARNING! Some character(s) could not be converted into client's character set. Unconverted bytes were changed to question marks ('?'). This seems to happen for records that contain special Windows character-set characters, such as curly quotes, copied and pasted from people's Outlook and Word messages. Unfortunately, I do not have any control of this database; sanitizing the input on the way in is obviously the way to go, but is not available to me. What FreeTDS settings do I need to change to be able to successfully query these records? Additional information: The query works fine from tsql. I only get this error through Perl's DBD::Sybase interface. (Should I test through something else? I don't have the expertise yet to install PHP or Python. I've got jTDS and can use it, but I think that's a completely different implementation, not an interface to FreeTDS.) Adding client charset = UTF-8 to my freetds.conf file results in "Out of memory!" printed to STDERR.

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  • Atlassian Crucible very slow on large repository

    - by Mitch Lindgren
    Hi everyone, My company has been running a trial of Atlassian Crucible for some months now. For repositories where it's working properly, users have given very positive feedback about the tool. The problem I'm having is that we have several different projects, each with its own repository, and some of those repositories are very large. One repository in particular has a large number of branches and probably around 9,000 files per branch. Browsing that repository in Crucible is extremely slow. Crucible is running on a CentOS VM. The VM has 4GB of RAM, and I've set Crucible's maximum at 3GB, of which it is currently using 2GB. I've brought this up in a support ticket with Atlassian, and they suggested the following: In particular because you have a rather large SVN repository you will likely find that Fisheye will be creating a large index file on disk. To help improve performance a few things you can try are: Increasing the available memory available to Fisheye (see the document above). Migrating to an external database: confluence.atlassian.com/display/FISHEYE/Migrating+to+an+External+Database Excluding files and directories from your index that aren't needed: confluence.atlassian.com/display/FISHEYE/Allow+(Process) (Sorry for not hyperlinking; don't have the rep.) I've tried all of these things to an extent, but so far none have helped greatly. I was originally running Crucible on a Windows box with 2GB of RAM using the built in HSQL DB. Moving to MySQL on CentOS saw a performance increase for some repositories, and made Crucible much more stable, but did not seem to help much with our biggest repository. There are only so many files/branches I can exclude from indexing while maintaining the tool's usefulness. That being the case, does anyone have any tips on how to speed up Crucible on large repositories, without investing in insanely powerful hardware? Thanks! Edit: To clarify, since I didn't mention it explicitly above, I am using FishEye.

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