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• Advanced Record-Level Business Intelligence with Inner Queries

  - by gt0084e1

  While business intelligence is generally applied at an aggregate level to large data sets, it's often useful to provide a more streamlined insight into an individual records or to be able to sort and rank them. For instance, a salesperson looking at a specific customer could benefit from basic stats on that account. A marketer trying to define an ideal customer could pull the top entries and look for insights or patterns. Inner queries let you do sophisticated analysis without the overhead of traditional BI or OLAP technologies like Analysis Services. Example - Order History Constancy Let's assume that management has realized that the best thing for our business is to have customers ordering every month. We'll need to identify and rank customers based on how consistently they buy and when their last purchase was so sales & marketing can respond accordingly. Our current application may not be able to provide this and adding an OLAP server like SSAS may be overkill for our needs. Luckily, SQL Server provides the ability to do relatively sophisticated analytics via inner queries. Here's the kind of output we'd like to see. Creating the Queries Before you create a view, you need to create the SQL query that does the calculations. Here we are calculating the total number of orders as well as the number of months since the last order. These fields might be very useful to sort by but may not be available in the app. This approach provides a very streamlined and high performance method of delivering actionable information without radically changing the application. It's also works very well with self-service reporting tools like Izenda. SELECT CustomerID,CompanyName, ( SELECT COUNT(OrderID) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID ) As Orders, DATEDIFF(mm, ( SELECT Max(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) ,getdate() ) AS MonthsSinceLastOrder FROM Customers Creating Views To turn this or any query into a view, just put CREATE VIEW AS before it. If you want to change it use the statement ALTER VIEW AS. Creating Computed Columns If you'd prefer not to create a view, inner queries can also be applied by using computed columns. Place you SQL in the (Formula) field of the Computed Column Specification or check out this article here. Advanced Scoring and Ranking One of the best uses for this approach is to score leads based on multiple fields. For instance, you may be in a business where customers that don't order every month require more persistent follow up. You could devise a simple formula that shows the continuity of an account. If they ordered every month since their first order, they would be at 100 indicating that they have been ordering 100% of the time. Here's the query that would calculate that. It uses a few SQL tricks to make this happen. We are extracting the count of unique months and then dividing by the months since initial order. This query will give you the following information which can be used to help sales and marketing now where to focus. You could sort by this percentage to know where to start calling or to find patterns describing your best customers. Number of orders First Order Date Last Order Date Percentage of months order was placed since last order. SELECT CustomerID, (SELECT COUNT(OrderID) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) As Orders, (SELECT Max(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) AS LastOrder, (SELECT Min(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) AS FirstOrder, DATEDIFF(mm,(SELECT Min(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID),getdate()) AS MonthsSinceFirstOrder, 100*(SELECT COUNT(DISTINCT 100*DATEPART(yy,OrderDate) + DATEPART(mm,OrderDate)) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) / DATEDIFF(mm,(SELECT Min(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID),getdate()) As OrderPercent FROM Customers

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• When a problem is resolved

  - by Rob Farley

  This month’s T-SQL Tuesday is hosted by Jen McCown, and she’s picked the topic of Resolutions. It’s a new year, and she’s thinking about what people have resolved to do this year. Unfortunately, I’ve never really done resolutions like that. I see too many people resolve to quit smoking, or lose weight, or whatever, and fail miserably. I’m not saying I don’t set goals, but it’s not a thing for New Year. The obvious joke is “1920x1080” as a resolution, but I’m not going there. I think Resolving is a strange word. It makes it sound like I’m having to solve a problem a second time, when actually, it’s more along the lines of solving a problem well enough for it to count as finished. If something has been resolved, a solution has been provided. There is a resolution, through the provision of a solution. It’s a strangeness of English. When I look up the word resolution at dictionary.com, it has 12 options, including “settling of a problem”. There’s a finality about resolution. If you resolve to do something, you’re saying “Yes. This is a done thing. I’m resolving to do it, which means that it may as well be complete already.” I like to think I resolve problems, rather than just solving them. I want my solving to be final and complete. If I tune a query, I don’t want to find that I’m back in there, re-tuning it at some point. Strangely, if I re-solve a problem, that implies that I didn’t resolve it in the first place. I only solved it. Temporarily. We “data-folk” live in a world where the most common answer is “It depends.” Frustratingly, the thing an answer depends on may still be changing in the system in question. That probably means that any solution that is put in place may need reinvestigating at some point later. So do I resolve things? Yes. Am I Chuck Norris, and solve things so well the world would break first? No. Do these two claims happily sit beside each other? No, unfortunately not. But I happily take responsibility for things, and let my clients depend on me to see it through. As far as they are concerned, it is resolved. And so I resolve to keep resolving, right through 2011.

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• Sampling SQL server batch activity

  - by extended_events

  Recently I was troubleshooting a performance issue on an internal tracking workload and needed to collect some very low level events over a period of 3-4 hours.  During analysis of the data I found that a common pattern I was using was to find a batch with a duration that was longer than average and follow all the events it produced.  This pattern got me thinking that I was discarding a substantial amount of event data that had been collected, and that it would be great to be able to reduce the collection overhead on the server if I could still get all activity from some batches. In the past I’ve used a sampling technique based on the counter predicate to build a baseline of overall activity (see Mikes post here).  This isn’t exactly what I want though as there would certainly be events from a particular batch that wouldn’t pass the predicate.  What I need is a way to identify streams of work and select say one in ten of them to watch, and sql server provides just such a mechanism: session_id.  Session_id is a server assigned integer that is bound to a connection at login and lasts until logout.  So by combining the session_id predicate source and the divides_by_uint64 predicate comparator we can limit collection, and still get all the events in batches for investigation. CREATE EVENT SESSION session_10_percent ON SERVER ADD EVENT sqlserver.sql_statement_starting(     WHERE (package0.divides_by_uint64(sqlserver.session_id,10))), ADD EVENT sqlos.wait_info (        WHERE (package0.divides_by_uint64(sqlserver.session_id,10))), ADD EVENT sqlos.wait_info_external (        WHERE (package0.divides_by_uint64(sqlserver.session_id,10))), ADD EVENT sqlserver.sql_statement_completed(     WHERE (package0.divides_by_uint64(sqlserver.session_id,10))) ADD TARGET ring_buffer WITH (MAX_DISPATCH_LATENCY=30 SECONDS,TRACK_CAUSALITY=ON) GO   There we go; event collection is reduced while still providing enough information to find the root of the problem.  By the way the performance issue turned out to be an IO issue, and the session definition above was more than enough to show long waits on PAGEIOLATCH*.        

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• Multitenancy in SQL Azure

  - by cibrax

  If you are building a SaaS application in Windows Azure that relies on SQL Azure, it’s probably that you will need to support multiple tenants at database level. This is short overview of the different approaches you can use for support that scenario, A different database per tenant A new database is created and assigned when a tenant is provisioned. Pros Complete isolation between tenants. All the data for a tenant lives in a database only he can access. Cons It’s not cost effective. SQL Azure databases are not cheap, and the minimum size for a database is 1GB.  You might be paying for storage that you don’t really use. A different connection pool is required per database. Updates must be replicated across all the databases You need multiple backup strategies across all the databases Multiple schemas in a database shared by all the tenants A single database is shared among all the tenants, but every tenant is assigned to a different schema and database user. Pros You only pay for a single database. Data is isolated at database level. If the credentials for one tenant is compromised, the rest of the data for the other tenants is not. Cons You need to replicate all the database objects in every schema, so the number of objects can increase indefinitely. Updates must be replicated across all the schemas. The connection pool for the database must maintain a different connection per tenant (or set of credentials) A different user is required per tenant, which is stored at server level. You have to backup that user independently. Centralizing the database access with store procedures in a database shared by all the tenants A single database is shared among all the tenants, but nobody can read the data directly from the tables. All the data operations are performed through store procedures that centralize the access to the tenant data. The store procedures contain some logic to map the database user to an specific tenant. Pros You only pay for a single database. You only have a set of objects to maintain and backup. Cons There is no real isolation. All the data for the different tenants is shared in the same tables. You can not use traditional ORM like EF code first for consuming the data. A different user is required per tenant, which is stored at server level. You have to backup that user independently. SQL Federations A single database is shared among all the tenants, but a different federation is used per tenant. A federation in few words, it’s a mechanism for horizontal scaling in SQL Azure, which basically uses the idea of logical partitions to distribute data based on certain criteria. Pros You only have a single database with multiple federations. You can use filtering in the connections to pick the right federation, so any ORM could be used to consume the data. Cons There is no real isolation at that database level. The isolation is enforced programmatically with federations.

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• Testing and Validation – You Really Do Have The Time

  - by BuckWoody

  One of the great advantages in my role as a Technical Specialist here at Microsoft is that I get to work with so many great clients. I get to see their environments and how they use them, and the way they work with SQL Server. I’ve been a data professional myself for many years. Over that time I’ve worked with many database platforms, lots of client applications, and written a lot of code in many industries. For a while I was also a consultant, so I got to see how other shops did things as well. But because I now focus on a “set” base of clients (over 500 professionals in over 150 companies) I get to see them over a longer period of time. Many of them help me understand how they use the product in their projects, and I even attend some DBA regular meetings. I see the way the product succeeds, and I see when it fails. Something that has really impacted my way of thinking is the level of importance any given shop is able to place on testing and validation. I’ve always been a big proponent of setting up a test system and following a very disciplined regimen to make sure it will work in production for any new projects, and then taking the lessons learned into production as standards. I know, I know – there’s never enough time to do things right like this. Yet the shops I see that do it have the same level of work that they output as the shops that don’t. They just make the time to do the testing and validation and create a standard that they will follow in production. And what I’ve found (surprise surprise) is that they have fewer production problems. OK, that might seem obvious – but I’ve actually tracked it and those places that do the testing and best practices really do save stress, time and trouble from that effort. We all think that’s a good idea, but we just “don’t have time”. OK – but from what I’m seeing, you can gain time if you spend a little up front. You may find that you’re actually already spending the same amount of time that you would spend in doing the testing, you’re just doing it later, at night, under the gun. Food for thought.  Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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• How to tune down the Hyperic built-in postgresql database for a small setup

  - by Svish

  We are testing out Hyperic 4.5.1 in a quite small environment for now. Currently there are just 1-5 agents and there probably won't be any more than 10-15. When I run ps ax there are 20(!) postgres processes running. For a small setup like this, that can't be necessary, can it? I'm a software developer and don't have much experience with setting up servers and such though, so don't really know. Either way, what settings are appropriate for a small Hyperic setup like this? Current, default and untouched configuration file, hqdb/data/postgresql.conf: # ----------------------------- # PostgreSQL configuration file # ----------------------------- # # This file consists of lines of the form: # # name = value # # (The '=' is optional.) White space may be used. Comments are introduced # with '#' anywhere on a line. The complete list of option names and # allowed values can be found in the PostgreSQL documentation. The # commented-out settings shown in this file represent the default values. # # Please note that re-commenting a setting is NOT sufficient to revert it # to the default value, unless you restart the server. # # Any option can also be given as a command line switch to the server, # e.g., 'postgres -c log_connections=on'. Some options can be changed at # run-time with the 'SET' SQL command. # # This file is read on server startup and when the server receives a # SIGHUP. If you edit the file on a running system, you have to SIGHUP the # server for the changes to take effect, or use "pg_ctl reload". Some # settings, which are marked below, require a server shutdown and restart # to take effect. # # Memory units: kB = kilobytes MB = megabytes GB = gigabytes # Time units: ms = milliseconds s = seconds min = minutes h = hours d = days #--------------------------------------------------------------------------- # FILE LOCATIONS #--------------------------------------------------------------------------- # The default values of these variables are driven from the -D command line # switch or PGDATA environment variable, represented here as ConfigDir. #data_directory = 'ConfigDir' # use data in another directory # (change requires restart) #hba_file = 'ConfigDir/pg_hba.conf' # host-based authentication file # (change requires restart) #ident_file = 'ConfigDir/pg_ident.conf' # ident configuration file # (change requires restart) # If external_pid_file is not explicitly set, no extra PID file is written. #external_pid_file = '(none)' # write an extra PID file # (change requires restart) #--------------------------------------------------------------------------- # CONNECTIONS AND AUTHENTICATION #--------------------------------------------------------------------------- # - Connection Settings - #listen_addresses = 'localhost' # what IP address(es) to listen on; # comma-separated list of addresses; # defaults to 'localhost', '*' = all # (change requires restart) port = 9432 # (change requires restart) max_connections = 100 # (change requires restart) # Note: increasing max_connections costs ~400 bytes of shared memory per # connection slot, plus lock space (see max_locks_per_transaction). You # might also need to raise shared_buffers to support more connections. #superuser_reserved_connections = 3 # (change requires restart) #unix_socket_directory = '' # (change requires restart) #unix_socket_group = '' # (change requires restart) #unix_socket_permissions = 0777 # octal # (change requires restart) #bonjour_name = '' # defaults to the computer name # (change requires restart) # - Security & Authentication - #authentication_timeout = 1min # 1s-600s #ssl = off # (change requires restart) #password_encryption = on #db_user_namespace = off # Kerberos #krb_server_keyfile = '' # (change requires restart) #krb_srvname = 'postgres' # (change requires restart) #krb_server_hostname = '' # empty string matches any keytab entry # (change requires restart) #krb_caseins_users = off # (change requires restart) # - TCP Keepalives - # see 'man 7 tcp' for details #tcp_keepalives_idle = 0 # TCP_KEEPIDLE, in seconds; # 0 selects the system default #tcp_keepalives_interval = 0 # TCP_KEEPINTVL, in seconds; # 0 selects the system default #tcp_keepalives_count = 0 # TCP_KEEPCNT; # 0 selects the system default #--------------------------------------------------------------------------- # RESOURCE USAGE (except WAL) #--------------------------------------------------------------------------- # - Memory - shared_buffers = 64MB # min 128kB or max_connections*16kB # (change requires restart) #temp_buffers = 8MB # min 800kB #max_prepared_transactions = 5 # can be 0 or more # (change requires restart) # Note: increasing max_prepared_transactions costs ~600 bytes of shared memory # per transaction slot, plus lock space (see max_locks_per_transaction). work_mem = 2MB # min 64kB maintenance_work_mem = 32MB # min 1MB #max_stack_depth = 2MB # min 100kB # - Free Space Map - max_fsm_pages = 204800 # min max_fsm_relations*16, 6 bytes each # (change requires restart) #max_fsm_relations = 1000 # min 100, ~70 bytes each # (change requires restart) # - Kernel Resource Usage - #max_files_per_process = 1000 # min 25 # (change requires restart) #shared_preload_libraries = '' # (change requires restart) # - Cost-Based Vacuum Delay - #vacuum_cost_delay = 0 # 0-1000 milliseconds #vacuum_cost_page_hit = 1 # 0-10000 credits #vacuum_cost_page_miss = 10 # 0-10000 credits #vacuum_cost_page_dirty = 20 # 0-10000 credits #vacuum_cost_limit = 200 # 0-10000 credits # - Background writer - #bgwriter_delay = 200ms # 10-10000ms between rounds #bgwriter_lru_percent = 1.0 # 0-100% of LRU buffers scanned/round #bgwriter_lru_maxpages = 5 # 0-1000 buffers max written/round #bgwriter_all_percent = 0.333 # 0-100% of all buffers scanned/round #bgwriter_all_maxpages = 5 # 0-1000 buffers max written/round #--------------------------------------------------------------------------- # WRITE AHEAD LOG #--------------------------------------------------------------------------- # - Settings - fsync = on # turns forced synchronization on or off #wal_sync_method = fsync # the default is the first option # supported by the operating system: # open_datasync # fdatasync # fsync # fsync_writethrough # open_sync #full_page_writes = on # recover from partial page writes #wal_buffers = 64kB # min 32kB # (change requires restart) commit_delay = 100000 # range 0-100000, in microseconds #commit_siblings = 5 # range 1-1000 # - Checkpoints - checkpoint_segments = 10 # in logfile segments, min 1, 16MB each #checkpoint_timeout = 5min # range 30s-1h #checkpoint_warning = 30s # 0 is off # - Archiving - #archive_command = '' # command to use to archive a logfile segment #archive_timeout = 0 # force a logfile segment switch after this # many seconds; 0 is off #--------------------------------------------------------------------------- # QUERY TUNING #--------------------------------------------------------------------------- # - Planner Method Configuration - #enable_bitmapscan = on #enable_hashagg = on #enable_hashjoin = on #enable_indexscan = on #enable_mergejoin = on #enable_nestloop = on #enable_seqscan = on #enable_sort = on #enable_tidscan = on # - Planner Cost Constants - #seq_page_cost = 1.0 # measured on an arbitrary scale #random_page_cost = 4.0 # same scale as above #cpu_tuple_cost = 0.01 # same scale as above #cpu_index_tuple_cost = 0.005 # same scale as above #cpu_operator_cost = 0.0025 # same scale as above #effective_cache_size = 128MB # - Genetic Query Optimizer - #geqo = on #geqo_threshold = 12 #geqo_effort = 5 # range 1-10 #geqo_pool_size = 0 # selects default based on effort #geqo_generations = 0 # selects default based on effort #geqo_selection_bias = 2.0 # range 1.5-2.0 # - Other Planner Options - #default_statistics_target = 10 # range 1-1000 #constraint_exclusion = off #from_collapse_limit = 8 #join_collapse_limit = 8 # 1 disables collapsing of explicit # JOINs #--------------------------------------------------------------------------- # ERROR REPORTING AND LOGGING #--------------------------------------------------------------------------- # - Where to Log - log_destination = 'stderr' # Valid values are combinations of # stderr, syslog and eventlog, # depending on platform. # This is used when logging to stderr: redirect_stderr = on # Enable capturing of stderr into log # files # (change requires restart) # These are only used if redirect_stderr is on: log_directory = '../../logs' # Directory where log files are written # Can be absolute or relative to PGDATA log_filename = 'hqdb-%Y-%m-%d.log' # Log file name pattern. # Can include strftime() escapes #log_truncate_on_rotation = off # If on, any existing log file of the same # name as the new log file will be # truncated rather than appended to. But # such truncation only occurs on # time-driven rotation, not on restarts # or size-driven rotation. Default is # off, meaning append to existing files # in all cases. log_rotation_age = 1d # Automatic rotation of logfiles will # happen after that time. 0 to # disable. #log_rotation_size = 10MB # Automatic rotation of logfiles will # happen after that much log # output. 0 to disable. # These are relevant when logging to syslog: #syslog_facility = 'LOCAL0' #syslog_ident = 'postgres' # - When to Log - #client_min_messages = notice # Values, in order of decreasing detail: # debug5 # debug4 # debug3 # debug2 # debug1 # log # notice # warning # error #log_min_messages = notice # Values, in order of decreasing detail: # debug5 # debug4 # debug3 # debug2 # debug1 # info # notice # warning # error # log # fatal # panic #log_error_verbosity = default # terse, default, or verbose messages #log_min_error_statement = error # Values in order of increasing severity: # debug5 # debug4 # debug3 # debug2 # debug1 # info # notice # warning # error # fatal # panic (effectively off) log_min_duration_statement = 10000 # -1 is disabled, 0 logs all statements # and their durations. #silent_mode = off # DO NOT USE without syslog or # redirect_stderr # (change requires restart) # - What to Log - #debug_print_parse = off #debug_print_rewritten = off #debug_print_plan = off #debug_pretty_print = off #log_connections = off #log_disconnections = off #log_duration = off #log_line_prefix = '' # Special values: # %u = user name # %d = database name # %r = remote host and port # %h = remote host # %p = PID # %t = timestamp (no milliseconds) # %m = timestamp with milliseconds # %i = command tag # %c = session id # %l = session line number # %s = session start timestamp # %x = transaction id # %q = stop here in non-session # processes # %% = '%' # e.g. '<%u%%%d> ' #log_statement = 'none' # none, ddl, mod, all #log_hostname = off #--------------------------------------------------------------------------- # RUNTIME STATISTICS #--------------------------------------------------------------------------- # - Query/Index Statistics Collector - #stats_command_string = on #update_process_title = on stats_start_collector = on # needed for block or row stats # (change requires restart) stats_block_level = on stats_row_level = on stats_reset_on_server_start = off # (change requires restart) # - Statistics Monitoring - #log_parser_stats = off #log_planner_stats = off #log_executor_stats = off #log_statement_stats = off #--------------------------------------------------------------------------- # AUTOVACUUM PARAMETERS #--------------------------------------------------------------------------- #autovacuum = off # enable autovacuum subprocess? # 'on' requires stats_start_collector # and stats_row_level to also be on #autovacuum_naptime = 1min # time between autovacuum runs #autovacuum_vacuum_threshold = 500 # min # of tuple updates before # vacuum #autovacuum_analyze_threshold = 250 # min # of tuple updates before # analyze #autovacuum_vacuum_scale_factor = 0.2 # fraction of rel size before # vacuum #autovacuum_analyze_scale_factor = 0.1 # fraction of rel size before # analyze #autovacuum_freeze_max_age = 200000000 # maximum XID age before forced vacuum # (change requires restart) #autovacuum_vacuum_cost_delay = -1 # default vacuum cost delay for # autovacuum, -1 means use # vacuum_cost_delay #autovacuum_vacuum_cost_limit = -1 # default vacuum cost limit for # autovacuum, -1 means use # vacuum_cost_limit #--------------------------------------------------------------------------- # CLIENT CONNECTION DEFAULTS #--------------------------------------------------------------------------- # - Statement Behavior - #search_path = '"$user",public' # schema names #default_tablespace = '' # a tablespace name, '' uses # the default #check_function_bodies = on #default_transaction_isolation = 'read committed' #default_transaction_read_only = off #statement_timeout = 0 # 0 is disabled #vacuum_freeze_min_age = 100000000 # - Locale and Formatting - datestyle = 'iso, mdy' #timezone = unknown # actually, defaults to TZ # environment setting #timezone_abbreviations = 'Default' # select the set of available timezone # abbreviations. Currently, there are # Default # Australia # India # However you can also create your own # file in share/timezonesets/. #extra_float_digits = 0 # min -15, max 2 #client_encoding = sql_ascii # actually, defaults to database # encoding # These settings are initialized by initdb -- they might be changed lc_messages = 'C' # locale for system error message # strings lc_monetary = 'C' # locale for monetary formatting lc_numeric = 'C' # locale for number formatting lc_time = 'C' # locale for time formatting # - Other Defaults - #explain_pretty_print = on #dynamic_library_path = '$libdir' #local_preload_libraries = '' #--------------------------------------------------------------------------- # LOCK MANAGEMENT #--------------------------------------------------------------------------- #deadlock_timeout = 1s #max_locks_per_transaction = 64 # min 10 # (change requires restart) # Note: each lock table slot uses ~270 bytes of shared memory, and there are # max_locks_per_transaction * (max_connections + max_prepared_transactions) # lock table slots. #--------------------------------------------------------------------------- # VERSION/PLATFORM COMPATIBILITY #--------------------------------------------------------------------------- # - Previous Postgres Versions - #add_missing_from = off #array_nulls = on #backslash_quote = safe_encoding # on, off, or safe_encoding #default_with_oids = off #escape_string_warning = on #standard_conforming_strings = off #regex_flavor = advanced # advanced, extended, or basic #sql_inheritance = on # - Other Platforms & Clients - #transform_null_equals = off #--------------------------------------------------------------------------- # CUSTOMIZED OPTIONS #--------------------------------------------------------------------------- #custom_variable_classes = '' # list of custom variable class names SELECT * FROM pg_stat_activity; datid | datname | procpid | usesysid | usename | current_query | waiting | query_start | backend_start | client_addr | client_port -------+---------+---------+----------+---------+---------------------------------+---------+-------------------------------+-------------------------------+-------------+------------- 16384 | hqdb | 3267 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.036781+01 | 2011-02-08 15:51:20.02413+01 | 127.0.0.1 | 47892 16384 | hqdb | 3268 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.050994+01 | 2011-02-08 15:51:20.047393+01 | 127.0.0.1 | 47893 16384 | hqdb | 3269 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.056661+01 | 2011-02-08 15:51:20.053201+01 | 127.0.0.1 | 47894 16384 | hqdb | 3271 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.062351+01 | 2011-02-08 15:51:20.058822+01 | 127.0.0.1 | 47895 16384 | hqdb | 3272 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.068328+01 | 2011-02-08 15:51:20.064517+01 | 127.0.0.1 | 47896 16384 | hqdb | 3273 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.07444+01 | 2011-02-08 15:51:20.070755+01 | 127.0.0.1 | 47897 16384 | hqdb | 3274 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.080941+01 | 2011-02-08 15:51:20.076983+01 | 127.0.0.1 | 47898 16384 | hqdb | 3275 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.08741+01 | 2011-02-08 15:51:20.083697+01 | 127.0.0.1 | 47899 16384 | hqdb | 3276 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.093597+01 | 2011-02-08 15:51:20.089977+01 | 127.0.0.1 | 47900 16384 | hqdb | 3277 | 10 | hqadmin | <IDLE> in transaction | f | 2011-02-08 15:51:20.133974+01 | 2011-02-08 15:51:20.096149+01 | 127.0.0.1 | 47901 16384 | hqdb | 3308 | 10 | hqadmin | <IDLE> | f | 2011-02-09 10:49:27.402197+01 | 2011-02-08 15:51:29.826321+01 | 127.0.0.1 | 47902 16384 | hqdb | 3309 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.572395+01 | 2011-02-08 15:51:29.865243+01 | 127.0.0.1 | 47903 16384 | hqdb | 3310 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.586273+01 | 2011-02-08 15:51:29.874346+01 | 127.0.0.1 | 47904 16384 | hqdb | 3311 | 10 | hqadmin | <IDLE> | f | 2011-02-09 10:10:03.024088+01 | 2011-02-08 15:51:29.883598+01 | 127.0.0.1 | 47905 16384 | hqdb | 3312 | 10 | hqadmin | <IDLE> in transaction | f | 2011-02-08 15:51:35.804457+01 | 2011-02-08 15:51:29.892925+01 | 127.0.0.1 | 47906 16384 | hqdb | 3418 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.580207+01 | 2011-02-08 15:51:55.56911+01 | 127.0.0.1 | 47910 16384 | hqdb | 3419 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.59781+01 | 2011-02-08 15:51:55.588609+01 | 127.0.0.1 | 47911 16384 | hqdb | 3422 | 10 | hqadmin | <IDLE> | f | 2011-02-09 10:10:02.668836+01 | 2011-02-08 15:51:55.603076+01 | 127.0.0.1 | 47914 16384 | hqdb | 3421 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.770427+01 | 2011-02-08 15:51:55.603086+01 | 127.0.0.1 | 47913 16384 | hqdb | 3420 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.680785+01 | 2011-02-08 15:51:55.637058+01 | 127.0.0.1 | 47912 16384 | hqdb | 18233 | 10 | hqadmin | SELECT * FROM pg_stat_activity; | f | 2011-02-09 10:49:29.688949+01 | 2011-02-09 10:48:13.031475+01 | | -1 (21 rows)

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• NFS issue brings down entire vSphere ESX estate

  - by growse

  I experienced an odd issue this morning where an NFS issue appeared to have taken down the majority of my VMs hosted on a small vSphere 5.0 estate. The infrastructure itself is 4x IBM HS21 blades running around 20 VMs. The storage is provided by a single HP X1600 array with attached D2700 chassis running Solaris 11. There's a couple of storage pools on this which are exposed over NFS for the storage of the VM files, and some iSCSI LUNs for things like MSCS shared disks. Normally, this is pretty stable, but I appreciate the lack of resiliancy in having a single X1600 doing all the storage. This morning, in the logs of each ESX host, at around 0521 GMT I saw a lot of entries like this: 2011-11-30T05:21:54.161Z cpu2:2050)NFSLock: 608: Stop accessing fd 0x41000a4cf9a8 3 2011-11-30T05:21:54.161Z cpu2:2050)NFSLock: 608: Stop accessing fd 0x41000a4dc9e8 3 2011-11-30T05:21:54.161Z cpu2:2050)NFSLock: 608: Stop accessing fd 0x41000a4d3fa8 3 2011-11-30T05:21:54.161Z cpu2:2050)NFSLock: 608: Stop accessing fd 0x41000a4de0a8 3 [....] 2011-11-30T06:16:07.042Z cpu0:2058)WARNING: NFS: 283: Lost connection to the server 10.13.111.197 mount point /sastank/VMStorage, mounted as f0342e1c-19be66b5-0000-000000000000 ("SAStank") 2011-11-30T06:17:01.459Z cpu2:4011)NFS: 292: Restored connection to the server 10.13.111.197 mount point /sastank/VMStorage, mounted as f0342e1c-19be66b5-0000-000000000000 ("SAStank") 2011-11-30T06:25:17.887Z cpu3:2051)NFSLock: 608: Stop accessing fd 0x41000a4c2b28 3 2011-11-30T06:27:16.063Z cpu3:4011)NFSLock: 568: Start accessing fd 0x41000a4d8928 again 2011-11-30T06:35:30.827Z cpu1:2058)WARNING: NFS: 283: Lost connection to the server 10.13.111.197 mount point /tank/ISO, mounted as 5acdbb3e-410e56e3-0000-000000000000 ("ISO (1)") 2011-11-30T06:36:37.953Z cpu6:2054)NFS: 292: Restored connection to the server 10.13.111.197 mount point /tank/ISO, mounted as 5acdbb3e-410e56e3-0000-000000000000 ("ISO (1)") 2011-11-30T06:40:08.242Z cpu6:2054)NFSLock: 608: Stop accessing fd 0x41000a4c3e68 3 2011-11-30T06:40:34.647Z cpu3:2051)NFSLock: 568: Start accessing fd 0x41000a4d8928 again 2011-11-30T06:44:42.663Z cpu1:2058)WARNING: NFS: 283: Lost connection to the server 10.13.111.197 mount point /sastank/VMStorage, mounted as f0342e1c-19be66b5-0000-000000000000 ("SAStank") 2011-11-30T06:44:53.973Z cpu0:4011)NFS: 292: Restored connection to the server 10.13.111.197 mount point /sastank/VMStorage, mounted as f0342e1c-19be66b5-0000-000000000000 ("SAStank") 2011-11-30T06:51:28.296Z cpu5:2058)NFSLock: 608: Stop accessing fd 0x41000ae3c528 3 2011-11-30T06:51:44.024Z cpu4:2052)NFSLock: 568: Start accessing fd 0x41000ae3b8e8 again 2011-11-30T06:56:30.758Z cpu4:2058)WARNING: NFS: 283: Lost connection to the server 10.13.111.197 mount point /sastank/VMStorage, mounted as f0342e1c-19be66b5-0000-000000000000 ("SAStank") 2011-11-30T06:56:53.389Z cpu7:2055)NFS: 292: Restored connection to the server 10.13.111.197 mount point /sastank/VMStorage, mounted as f0342e1c-19be66b5-0000-000000000000 ("SAStank") 2011-11-30T07:01:50.350Z cpu6:2054)ScsiDeviceIO: 2316: Cmd(0x41240072bc80) 0x12, CmdSN 0x9803 to dev "naa.600508e000000000505c16815a36c50d" failed H:0x0 D:0x2 P:0x0 Valid sense data: 0x5 0x24 0x0. 2011-11-30T07:03:48.449Z cpu3:2051)NFSLock: 608: Stop accessing fd 0x41000ae46b68 3 2011-11-30T07:03:57.318Z cpu4:4009)NFSLock: 568: Start accessing fd 0x41000ae48228 again (I've put a complete dump from one of the hosts on pastebin: http://pastebin.com/Vn60wgTt) When I got in the office at 9am, I saw various failures and alarms and troubleshooted the issue. It turned out that pretty much all of the VMs were inaccessible, and that the ESX hosts either were describing each VM as 'powered off', 'powered on', or 'unavailable'. The VMs described as 'powered on' where not in any way reachable or responding to pings, so this may be lies. There's absolutely no indication on the X1600 that anything was awry, and nothing on the switches to indicate any loss of connectivity. I only managed to resolve the issue by rebooting the ESX hosts in turn. I have a number of questions: What the hell happened? If this was a temporary NFS failure, why did it put the ESX hosts into a state from which a reboot was the only recovery? In the future, when the NFS server goes a little off-piste, what would be the best approach to add some resilience? I've been looking at budgeting for next year and potentially have budget to purchase another X1600/D2700/disks, would an identical mirrored disk setup help to mitigate these sorts of failures automatically? Edit (Added requested details) To expand with some details as requested: The X1600 has 12x 1TB disks lumped together in mirrored pairs as tank, and the D2700 (connected with a mini SAS cable) has 12x 300GB 10k SAS disks lumped together in mirrored pairs as sastank zpool status pool: rpool state: ONLINE scan: none requested config: NAME STATE READ WRITE CKSUM rpool ONLINE 0 0 0 c7t0d0s0 ONLINE 0 0 0 errors: No known data errors pool: sastank state: ONLINE scan: scrub repaired 0 in 74h21m with 0 errors on Wed Nov 30 02:51:58 2011 config: NAME STATE READ WRITE CKSUM sastank ONLINE 0 0 0 mirror-0 ONLINE 0 0 0 c7t14d0 ONLINE 0 0 0 c7t15d0 ONLINE 0 0 0 mirror-1 ONLINE 0 0 0 c7t16d0 ONLINE 0 0 0 c7t17d0 ONLINE 0 0 0 mirror-2 ONLINE 0 0 0 c7t18d0 ONLINE 0 0 0 c7t19d0 ONLINE 0 0 0 mirror-3 ONLINE 0 0 0 c7t20d0 ONLINE 0 0 0 c7t21d0 ONLINE 0 0 0 mirror-4 ONLINE 0 0 0 c7t22d0 ONLINE 0 0 0 c7t23d0 ONLINE 0 0 0 mirror-5 ONLINE 0 0 0 c7t24d0 ONLINE 0 0 0 c7t25d0 ONLINE 0 0 0 errors: No known data errors pool: tank state: ONLINE scan: scrub repaired 0 in 17h28m with 0 errors on Mon Nov 28 17:58:19 2011 config: NAME STATE READ WRITE CKSUM tank ONLINE 0 0 0 mirror-0 ONLINE 0 0 0 c7t1d0 ONLINE 0 0 0 c7t2d0 ONLINE 0 0 0 mirror-1 ONLINE 0 0 0 c7t3d0 ONLINE 0 0 0 c7t4d0 ONLINE 0 0 0 mirror-2 ONLINE 0 0 0 c7t5d0 ONLINE 0 0 0 c7t6d0 ONLINE 0 0 0 mirror-3 ONLINE 0 0 0 c7t8d0 ONLINE 0 0 0 c7t9d0 ONLINE 0 0 0 mirror-4 ONLINE 0 0 0 c7t10d0 ONLINE 0 0 0 c7t11d0 ONLINE 0 0 0 mirror-5 ONLINE 0 0 0 c7t12d0 ONLINE 0 0 0 c7t13d0 ONLINE 0 0 0 errors: No known data errors The filesystem exposed over NFS for the primary datastore is sastank/VMStorage zfs list NAME USED AVAIL REFER MOUNTPOINT rpool 45.1G 13.4G 92.5K /rpool rpool/ROOT 2.28G 13.4G 31K legacy rpool/ROOT/solaris 2.28G 13.4G 2.19G / rpool/dump 15.0G 13.4G 15.0G - rpool/export 11.9G 13.4G 32K /export rpool/export/home 11.9G 13.4G 32K /export/home rpool/export/home/andrew 11.9G 13.4G 11.9G /export/home/andrew rpool/swap 15.9G 29.2G 123M - sastank 1.08T 536G 33K /sastank sastank/VMStorage 1.01T 536G 1.01T /sastank/VMStorage sastank/comstar 71.7G 536G 31K /sastank/comstar sastank/comstar/sql_tempdb 6.31G 536G 6.31G - sastank/comstar/sql_tx_data 65.4G 536G 65.4G - tank 4.79T 578G 42K /tank tank/FTP 269G 578G 269G /tank/FTP tank/ISO 28.8G 578G 25.9G /tank/ISO tank/backupstage 2.64T 578G 2.49T /tank/backupstage tank/cifs 301G 578G 297G /tank/cifs tank/comstar 1.54T 578G 31K /tank/comstar tank/comstar/msdtc 1.07G 579G 32.8M - tank/comstar/quorum 577M 578G 47.9M - tank/comstar/sqldata 1.54T 886G 304G - tank/comstar/vsphere_lun 2.09G 580G 22.2M - tank/mcs-asset-repository 7.01M 578G 6.99M /tank/mcs-asset-repository tank/mscs-quorum 55K 578G 36K /tank/mscs-quorum tank/sccm 16.1G 578G 12.8G /tank/sccm As for the networking, all connections between the X1600, the Blades and the switch are either LACP or Etherchannel bonded 2x 1Gbit links. Switch is a single Cisco 3750. Storage traffic sits on its own VLAN segregated from VM machine traffic.

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• VSDB to SSDT Part 2 : SQL Server 2008 Server Project &hellip; with SSDT

  - by Etienne Giust

  With Visual Studio 2012 and the use of SSDT technology, there is only one type of database project : SQL Server Database Project. With Visual Studio 2010, we used to have SQL Server 2008 Server Project which we used to define server-level objects, mostly logins and linked servers. A convenient wizard allowed for creation of this type of projects. It does not exists anymore. Here is how to create an equivalent of the SQL Server 2008 Server Project  with Visual Studio 2012: Create a new SQL Server Database Project : it will be created empty Create a new SQL Schema Compare ( SQL menu item > Schema Compare > New Schema Comparison ) As a source, select any database on the SQL server you want to mimic Set the target to be your newly Database Project In the Schema Compare options (cog-like icon), Object Types pane, set the options as below. You might want to tweak those and select only the object types you want. Then, run the comparison, review and select your changes and apply them to the project.

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• httpd high cpu usage slowing down server response

  - by max

  my client has a image sharing website with about 100.000 visitor per day it has been slowed down considerably since this morning when i checked processes i've notice high cpu usage from http .... some has suggested ddos attack ... i'm not a webmaster and i've no idea whts going on top top - 20:13:30 up 5:04, 4 users, load average: 4.56, 4.69, 4.59 Tasks: 284 total, 3 running, 281 sleeping, 0 stopped, 0 zombie Cpu(s): 12.1%us, 0.9%sy, 1.7%ni, 69.0%id, 16.4%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 16037152k total, 15875096k used, 162056k free, 360468k buffers Swap: 4194288k total, 888k used, 4193400k free, 14050008k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 4151 apache 20 0 277m 84m 3784 R 50.2 0.5 0:01.98 httpd 4115 apache 20 0 210m 16m 4480 S 18.3 0.1 0:00.60 httpd 12885 root 39 19 4296 692 308 S 13.0 0.0 11:09.53 gzip 4177 apache 20 0 214m 20m 3700 R 12.3 0.1 0:00.37 httpd 2219 mysql 20 0 4257m 198m 5668 S 11.0 1.3 42:49.70 mysqld 3691 apache 20 0 206m 14m 6416 S 1.7 0.1 0:03.38 httpd 3934 apache 20 0 211m 17m 4836 S 1.0 0.1 0:03.61 httpd 4098 apache 20 0 209m 17m 3912 S 1.0 0.1 0:04.17 httpd 4116 apache 20 0 211m 17m 4476 S 1.0 0.1 0:00.43 httpd 3867 apache 20 0 217m 23m 4672 S 0.7 0.1 1:03.87 httpd 4146 apache 20 0 209m 15m 3628 S 0.7 0.1 0:00.02 httpd 4149 apache 20 0 209m 15m 3616 S 0.7 0.1 0:00.02 httpd 12884 root 39 19 22336 2356 944 D 0.7 0.0 0:19.21 tar 4054 apache 20 0 206m 12m 4576 S 0.3 0.1 0:00.32 httpd another top top - 15:46:45 up 5:08, 4 users, load average: 5.02, 4.81, 4.64 Tasks: 288 total, 6 running, 281 sleeping, 0 stopped, 1 zombie Cpu(s): 18.4%us, 0.9%sy, 2.3%ni, 56.5%id, 21.8%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 16037152k total, 15792196k used, 244956k free, 360924k buffers Swap: 4194288k total, 888k used, 4193400k free, 13983368k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 4622 apache 20 0 209m 16m 3868 S 54.2 0.1 0:03.99 httpd 4514 apache 20 0 213m 20m 3924 R 50.8 0.1 0:04.93 httpd 4627 apache 20 0 221m 27m 4560 R 18.9 0.2 0:01.20 httpd 12885 root 39 19 4296 692 308 S 18.9 0.0 11:51.79 gzip 2219 mysql 20 0 4257m 199m 5668 S 18.3 1.3 43:19.04 mysqld 4512 apache 20 0 227m 33m 4736 R 5.6 0.2 0:01.93 httpd 4520 apache 20 0 213m 19m 4640 S 1.3 0.1 0:01.48 httpd 4590 apache 20 0 212m 19m 3932 S 1.3 0.1 0:00.06 httpd 4573 apache 20 0 210m 16m 3556 R 1.0 0.1 0:00.03 httpd 4562 root 20 0 15164 1388 952 R 0.7 0.0 0:00.08 top 98 root 20 0 0 0 0 S 0.3 0.0 0:04.89 kswapd0 100 root 39 19 0 0 0 S 0.3 0.0 0:02.85 khugepaged 4579 apache 20 0 209m 16m 3900 S 0.3 0.1 0:00.83 httpd 4637 apache 20 0 209m 15m 3668 S 0.3 0.1 0:00.03 httpd ps aux [root@server ~]# ps aux | grep httpd root 2236 0.0 0.0 207524 10124 ? Ss 15:09 0:03 /usr/sbin/http d -k start -DSSL apache 3087 2.7 0.1 226968 28232 ? S 20:04 0:06 /usr/sbin/http d -k start -DSSL apache 3170 2.6 0.1 221296 22292 ? R 20:05 0:05 /usr/sbin/http d -k start -DSSL apache 3171 9.0 0.1 225044 26768 ? R 20:05 0:17 /usr/sbin/http d -k start -DSSL apache 3188 1.5 0.1 223644 24724 ? S 20:05 0:03 /usr/sbin/http d -k start -DSSL apache 3197 2.3 0.1 215908 17520 ? S 20:05 0:04 /usr/sbin/http d -k start -DSSL apache 3198 1.1 0.0 211700 13000 ? S 20:05 0:02 /usr/sbin/http d -k start -DSSL apache 3272 2.4 0.1 219960 21540 ? S 20:06 0:03 /usr/sbin/http d -k start -DSSL apache 3273 2.0 0.0 211600 12804 ? S 20:06 0:03 /usr/sbin/http d -k start -DSSL apache 3279 3.7 0.1 229024 29900 ? S 20:06 0:05 /usr/sbin/http d -k start -DSSL apache 3280 1.2 0.0 0 0 ? Z 20:06 0:01 [httpd] <defun ct> apache 3285 2.9 0.1 218532 21604 ? S 20:06 0:04 /usr/sbin/http d -k start -DSSL apache 3287 30.5 0.4 265084 65948 ? R 20:06 0:43 /usr/sbin/http d -k start -DSSL apache 3297 1.9 0.1 216068 17332 ? S 20:06 0:02 /usr/sbin/http d -k start -DSSL apache 3342 2.7 0.1 216716 17828 ? S 20:06 0:03 /usr/sbin/http d -k start -DSSL apache 3356 1.6 0.1 217244 18296 ? S 20:07 0:01 /usr/sbin/http d -k start -DSSL apache 3365 6.4 0.1 226044 27428 ? S 20:07 0:06 /usr/sbin/http d -k start -DSSL apache 3396 0.0 0.1 213844 16120 ? S 20:07 0:00 /usr/sbin/http d -k start -DSSL apache 3399 5.8 0.1 215664 16772 ? S 20:07 0:05 /usr/sbin/http d -k start -DSSL apache 3422 0.7 0.1 214860 17380 ? S 20:07 0:00 /usr/sbin/http d -k start -DSSL apache 3435 3.3 0.1 216220 17460 ? S 20:07 0:02 /usr/sbin/http d -k start -DSSL apache 3463 0.1 0.0 212732 15076 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3492 0.0 0.0 207660 7552 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3493 1.4 0.1 218092 19188 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3500 1.9 0.1 224204 26100 ? R 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3501 1.7 0.1 216916 17916 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3502 0.0 0.0 207796 7732 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3505 0.0 0.0 207660 7548 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3529 0.0 0.0 207660 7524 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3531 4.0 0.1 216180 17280 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3532 0.0 0.0 207656 7464 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3543 1.4 0.1 217088 18648 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3544 0.0 0.0 207656 7548 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3545 0.0 0.0 207656 7560 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3546 0.0 0.0 207660 7540 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3547 0.0 0.0 207660 7544 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3548 2.3 0.1 216904 17888 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3550 0.0 0.0 207660 7540 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3551 0.0 0.0 207660 7536 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3552 0.2 0.0 214104 15972 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3553 6.5 0.1 216740 17712 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3554 6.3 0.1 216156 17260 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3555 0.0 0.0 207796 7716 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3556 1.8 0.0 211588 12580 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3557 0.0 0.0 207660 7544 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3565 0.0 0.0 207660 7520 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3570 0.0 0.0 207660 7516 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL apache 3571 0.0 0.0 207660 7504 ? S 20:08 0:00 /usr/sbin/http d -k start -DSSL root 3577 0.0 0.0 103316 860 pts/2 S+ 20:08 0:00 grep httpd httpd error log [Mon Jul 01 18:53:38 2013] [error] [client 2.178.12.67] request failed: error reading the headers, referer: http://akstube.com/image/show/27023/%D9%86%DB%8C%D9%88%D8%B4%D8%A7-%D8%B6%DB%8C%D8%BA%D9%85%DB%8C-%D9%88-%D8%AE%D9%88%D8%A7%D9%87%D8%B1-%D9%88-%D9%87%D9%85%D8%B3%D8%B1%D8%B4 [Mon Jul 01 18:55:33 2013] [error] [client 91.229.215.240] request failed: error reading the headers, referer: http://akstube.com/image/show/44924 [Mon Jul 01 18:57:02 2013] [error] [client 2.178.12.67] Invalid method in request [Mon Jul 01 18:57:02 2013] [error] [client 2.178.12.67] File does not exist: /var/www/html/501.shtml [Mon Jul 01 19:21:36 2013] [error] [client 127.0.0.1] client denied by server configuration: /var/www/html/server-status [Mon Jul 01 19:21:36 2013] [error] [client 127.0.0.1] File does not exist: /var/www/html/403.shtml [Mon Jul 01 19:23:57 2013] [error] [client 151.242.14.31] request failed: error reading the headers [Mon Jul 01 19:37:16 2013] [error] [client 2.190.16.65] request failed: error reading the headers [Mon Jul 01 19:56:00 2013] [error] [client 151.242.14.31] request failed: error reading the headers Not a JPEG file: starts with 0x89 0x50 also there is lots of these in the messages log Jul 1 20:15:47 server named[2426]: client 203.88.6.9#11926: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 20:15:47 server named[2426]: client 203.88.6.9#26255: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 20:15:48 server named[2426]: client 203.88.6.9#20093: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 20:15:48 server named[2426]: client 203.88.6.9#8672: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:07 server named[2426]: client 203.88.6.9#39352: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:08 server named[2426]: client 203.88.6.9#25382: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:08 server named[2426]: client 203.88.6.9#9064: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:09 server named[2426]: client 203.88.23.9#35375: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:09 server named[2426]: client 203.88.6.9#61932: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:09 server named[2426]: client 203.88.23.9#4423: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:09 server named[2426]: client 203.88.6.9#40229: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#46128: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#62128: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#35240: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#36774: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#28361: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#14970: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#20216: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.10#31794: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#23042: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#11333: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.10#41807: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.23.9#20092: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:14 server named[2426]: client 203.88.6.10#43526: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.9#17173: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.9#62412: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.10#63961: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.10#64345: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:15 server named[2426]: client 203.88.23.10#31030: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:45:16 server named[2426]: client 203.88.6.9#17098: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:16 server named[2426]: client 203.88.6.9#17197: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:16 server named[2426]: client 203.88.6.9#18114: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:16 server named[2426]: client 203.88.6.9#59138: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:45:17 server named[2426]: client 203.88.6.9#28715: query (cache) 'www.xxxmaza.com/A/IN' denied Jul 1 15:48:33 server named[2426]: client 203.88.23.9#26355: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:34 server named[2426]: client 203.88.23.9#34473: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:34 server named[2426]: client 203.88.23.9#62658: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:34 server named[2426]: client 203.88.23.9#51631: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:35 server named[2426]: client 203.88.23.9#54701: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:36 server named[2426]: client 203.88.6.10#63694: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:36 server named[2426]: client 203.88.6.10#18203: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:37 server named[2426]: client 203.88.6.10#9029: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:38 server named[2426]: client 203.88.6.10#58981: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:48:38 server named[2426]: client 203.88.6.10#29321: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:47 server named[2426]: client 119.160.127.42#42355: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:49 server named[2426]: client 119.160.120.42#46285: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:53 server named[2426]: client 119.160.120.42#30696: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:54 server named[2426]: client 119.160.127.42#14038: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:55 server named[2426]: client 119.160.120.42#33586: query (cache) 'xxxmaza.com/A/IN' denied Jul 1 15:49:56 server named[2426]: client 119.160.127.42#55114: query (cache) 'xxxmaza.com/A/IN' denied

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• How do I filter out NaN FLOAT values in Teradata SQL?

  - by Paul Hooper

  With the Teradata database, it is possible to load values of NaN, -Inf, and +Inf into FLOAT columns through Java. Unfortunately, once those values get into the tables, they make life difficult when writing SQL that needs to filter them out. There is no IsNaN() function, nor can you "CAST ('NaN' as FLOAT)" and use an equality comparison. What I would like to do is, SELECT SUM(VAL**2) FROM DTM WHERE NOT ABS(VAL) > 1e+21 AND NOT VAL = CAST ('NaN' AS FLOAT) but that fails with error 2620, "The format or data contains a bad character.", specifically on the CAST. I've tried simply "... AND NOT VAL = 'NaN'", which also fails for a similar reason (3535, "A character string failed conversion to a numeric value."). I cannot seem to figure out how to represent NaN within the SQL statement. Even if I could represent NaN successfully in an SQL statement, I would be concerned that the comparison would fail. According to the IEEE 754 spec, NaN = NaN should evaluate to false. What I really seem to need is an IsNaN() function. Yet that function does not seem to exist.

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• Blind down animation on CALayer using a mask

  - by dgjones346

  Hi there, I want to create a "blind down" effect on an image so the image "blinds down" and appears. Sort of like this JavaScript transition: http://wiki.github.com/madrobby/scriptaculous/effect-blinddown The mask is setup correctly because if I manually change it's position it hides and reveals the image behind it, but it doesn't animate! It just ends up in the animates final position and you never see it actual blind. Please help! Maybe this isn't the best way to achieve a blind down effect? // create a new layer CALayer *numberLayer = [[CALayer alloc] init]; // render the number "7" on the layer UIImage *image = [UIImage imageNamed:@"number-7.png"]; numberLayer.contents = (id) [image CGImage]; numberLayer.bounds = CGRectMake(0, 0, image.size.width, image.size.height); // width and height are 50 numberLayer.position = position; // create a new mask that is 50x50 the size of the image CAShapeLayer *maskLayer = [[CAShapeLayer alloc] init]; CGMutablePathRef path = CGPathCreateMutable(); CGPathAddRect(path, nil, CGRectMake(0, 0, 50, 50)); [maskLayer setPath:path]; [maskLayer setFillColor:[[UIColor whiteColor] CGColor]]; [theLayer setMask:maskLayer]; [maskLayer setPosition:CGPointMake(0, 0)]; // place the mask over the image [UIView beginAnimations:nil context:nil]; [UIView setAnimationDuration:3.0]; [maskLayer setPosition:CGPointMake(0, 50)]; // slide mask off the image // this should shift the blind away in an animation // but it doesn't animate [UIView commitAnimations]; [maskLayer release]; [boardLayer addSublayer:numberLayer]; [numberLayer release];

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• Using SQL Alchemy and pyodbc with IronPython 2.6.1

  - by beargle

  I'm using IronPython and the clr module to retrieve SQL Server information via SMO. I'd like to retrieve/store this data in a SQL Server database using SQL Alchemy, but am having some trouble loading the pyodbc module. Here's the setup: IronPython 2.6.1 (installed at D:\Program Files\IronPython) CPython 2.6.5 (installed at D:\Python26) SQL Alchemy 0.6.1 (installed at D:\Python26\Lib\site-packages\sqlalchemy) pyodbc 2.1.7 (installed at D:\Python26\Lib\site-packages) I have these entries in the IronPython site.py to import CPython standard and third-party libraries: # Add CPython standard libs and DLLs import sys sys.path.append(r"D:\Python26\Lib") sys.path.append(r"D:\Python26\DLLs") sys.path.append(r"D:\Python26\lib-tk") sys.path.append(r"D:\Python26") # Add CPython third-party libs sys.path.append(r"D:\Python26\Lib\site-packages") # sqlite3 sys.path.append(r"D:\Python26\Lib\sqlite3") # Add SQL Server SMO sys.path.append(r"D:\Program Files\Microsoft SQL Server\100\SDK\Assemblies") import clr clr.AddReferenceToFile('Microsoft.SqlServer.Smo.dll') clr.AddReferenceToFile('Microsoft.SqlServer.SqlEnum.dll') clr.AddReferenceToFile('Microsoft.SqlServer.ConnectionInfo.dll') SQL Alchemy imports OK in IronPython, put I receive this error message when trying to connect to SQL Server: IronPython 2.6.1 (2.6.10920.0) on .NET 2.0.50727.3607 Type "help", "copyright", "credits" or "license" for more information. >>> import sqlalchemy >>> e = sqlalchemy.MetaData("mssql://") Traceback (most recent call last): File "<stdin>", line 1, in <module> File "D:\Python26\Lib\site-packages\sqlalchemy\schema.py", line 1780, in __init__ File "D:\Python26\Lib\site-packages\sqlalchemy\schema.py", line 1828, in _bind_to File "D:\Python26\Lib\site-packages\sqlalchemy\engine\__init__.py", line 241, in create_engine File "D:\Python26\Lib\site-packages\sqlalchemy\engine\strategies.py", line 60, in create File "D:\Python26\Lib\site-packages\sqlalchemy\connectors\pyodbc.py", line 29, in dbapi ImportError: No module named pyodbc This code works just fine in CPython, but it looks like the pyodbc module isn't accessible from IronPython. Any suggestions? I realize that this may not be the best way to approach the problem, so I'm open to tackling this a different way. Just wanted to get some experience with using SQL Alchemy and pyodbc.

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• Trouble pre-populating drop down and textarea from MySQL Database

  - by Tony

  I am able to successfully pre-populate my questions using the following code: First Name: <input type="text" name="first_name" size="30" maxlength="20" value="' . $row[2] . '" /><br /> However, when I try to do the same for a drop down box and a textarea box, nothing is pre-populated from the database, even though there is actual content in the database. This is the code I'm using for the drop down and textarea, respectively: <?php echo ' <form action ="edit_contact.php" method="post"> <div class="contactfirstcolumn"> Prefix: <select name = "prefix" value="' . $row[0] . '" /> <option value="blank">--</option> <option value="Dr">Dr.</option> <option value="Mr">Mr.</option> <option value="Mrs">Mrs.</option> <option value="Ms">Ms.</option> </select><br />'; ?> AND Contact Description:<textarea id = "contactdesc" name="contactdesc" rows="3" cols="50" value="' . $row[20] . '" /></textarea><br /><br /> It's important to note that I am not receiving any errors. The form loads fine, however without the data for the drop down and textarea fields. Thanks! Tony

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• pass username and password to get-credential or run sql query without using invoke-sqlcmd in Powersh

  - by Emo

  I am trying to connect to a remote sql database and simply run the "select @@servername" query in Powershell. I'm trying to do this without using integrated security. I've been struggling with "get-credential" and "invoke-sqlcmd", only to find (I think), that you can't pass the password from "get-credential" to another Powershell cmdlets. Here's the code I'm using: add-pssnapin sqlserverprovidersnapin100 add-pssnapin sqlservercmdletsnapin100 load assemblies [Reflection.Assembly]::Load("Microsoft.SqlServer.Smo, Version=9.0.242.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91") [Reflection.Assembly]::Load("Microsoft.SqlServer.SqlEnum, Version=9.0.242.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91") [Reflection.Assembly]::Load("Microsoft.SqlServer.SmoEnum, Version=9.0.242.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91") [Reflection.Assembly]::Load("Microsoft.SqlServer.ConnectionInfo, Version=9.0.242.0, Culture=neutral,PublicKeyToken=89845dcd8080cc91") connect to SQL Server $serverName = "HLSQLSRV03" $server = New-Object -typeName Microsoft.SqlServer.Management.Smo.Server -argumentList $serverName login using SQL authentication $server.ConnectionContext.LoginSecure=$false; $credential = Get-Credential $userName = $credential.UserName -replace("\","") $pass = $credential.Password $server.ConnectionContext.set_Login($userName) $server.ConnectionContext.set_SecurePassword($credential.Password) $DB = "Master" invoke-sqlcmd -query "select @@Servername" -database $DB -serverinstance $servername -username $username -password $pass If if just hardcode the password in at the end of the "invoke-sqlcmd" line, it works. Is this because you can't use "get-credential" with "invoke-sqlcmd"? If so...what are my alternatives? Thanks so much for you help Emo

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• SQL Server CLR stored procedures in data processing tasks - good or evil?

  - by Gart

  In short - is it a good design solution to implement most of the business logic in CLR stored procedures? I have read much about them recently but I can't figure out when they should be used, what are the best practices, are they good enough or not. For example, my business application needs to parse a large fixed-length text file, extract some numbers from each line in the file, according to these numbers apply some complex business rules (involving regex matching, pattern matching against data from many tables in the database and such), and as a result of this calculation update records in the database. There is also a GUI for the user to select the file, view the results, etc. This application seems to be a good candidate to implement the classic 3-tier architecture: the Data Layer, the Logic Layer, and the GUI layer. The Data Layer would access the database The Logic Layer would run as a WCF service and implement the business rules, interacting with the Data Layer The GUI Layer would be a means of communication between the Logic Layer and the User. Now, thinking of this design, I can see that most of the business rules may be implemented in a SQL CLR and stored in SQL Server. I might store all my raw data in the database, run the processing there, and get the results. I see some advantages and disadvantages of this solution: Pros: The business logic runs close to the data, meaning less network traffic. Process all data at once, possibly utilizing parallelizm and optimal execution plan. Cons: Scattering of the business logic: some part is here, some part is there. Questionable design solution, may encounter unknown problems. Difficult to implement a progress indicator for the processing task. I would like to hear all your opinions about SQL CLR. Does anybody use it in production? Are there any problems with such design? Is it a good thing?

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• How can I stop an auto-generated Linq to SQL class from loading ALL data?

  - by Gary McGill

  DUPLICATE of http://stackoverflow.com/questions/2433422/how-can-i-stop-an-auto-generated-linq-to-sql-class-from-loading-all-data post answers there! I have an ASP.NET MVC project, much like the NerdDinner tutorial example. (I'm using MVC 2, but followed the NerdDinner tutorial in order to create it). As per the instructions in part 3 of the tutorial, I've created a Linq-to-SQL model of my database by creating a "Linq to SQL Classes" (.dbml) surface, and dropping my database tables onto it. The designer has automatically added relationships between the generated classes based on my database tables. Let's say that my classes are as per the NerdDinner example, so I have Dinner and RSVP tables, where each Dinner record is associated with many RSVP records - hence in the generated classes, the Dinner object has a RSVPs property which is a list of RSVP objects. My problem is this: it appears (and I'd be gladly proved wrong on this) that as soon as I access a Dinner object, it's loading all of the corresponding RSVP objects, even if I don't use the RSVPs member. First question: is this really the default behavior for the generated classes? In my particular situation, the object graph contains many more tables (which have an order of magnitude more records), and so this is disastrous behaviour - I'd be loading tons of data when all I want to do is show the details of a single parent record. Second question: are there any properties exposed through the designer UI that would let me modify this behavior? (I can't find any). Third question: I've seen a description of how to control the loading of related records in a DataContext by using a DataShape object associated with the DataContext. Is that what I'm meant to do, and if so are there any tutorials like the NerdDinner one that would show not only how to do it, but also suggest a 'pattern' for normal use?

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• SQL INSTR() using CSV. Need exact match rather than part

  - by Alastair Pitts

  This is a follow up issue relating to the answer for http://stackoverflow.com/questions/2445029/sql-placeholder-in-where-in-issue-inserted-strings-fail Quick background: We have a SQL query that uses a placeholder value to accept a string, which represents a unique tag/id. Usually, this is only a single tag, but we needed the ability to use a csv string for multiple tags, returning a combined result. In the answer we received from the vendor, they suggested the use of the INSTR function, ala: select * from pitotal where tag IN (SELECT tag from pipoint WHERE INSTR(?, tag) <> 0) and time between 'y' and 't' This works perfectly well 99% of the time, the issue is when the tag is also a subset of 2 parts of the CSV string. Eg the placeholder value is: 'northdom,southdom,eastdom,westdom' and possible tags include: north or northdom What happens, as north is a subset of northdom, is that the two tags are return instead of just northdom, which is actually what we want. I'm not strong on SQL so I couldn't work out how to set it as exact, or split the csv string, so help would be appreciated. Is there a way to split the csv string or make it look for an exact match?

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• Listing down stored records localStorage | Google Chrome Extensions

  - by Jamie

  How do I get to list down the stored records in the for loop? Basically I want it to list down the records like this: '<div id="record_' + number + '">' + localstorage value + '</div>' The number in the class should add 1 every record, e.g. 1, 2, 3, 4 every record it lists down, and so on. The localstorage value should show the localStorage[] but the problem is, the localStorage name has the same, e.g. (clicks on button) it will save the value of the URL into a localStorage I then open the application and shows the window.html inside there is list of stored records by using this: '<div id="record_' + number + '">' + localstorage value + '</div>' INCLUDING the record number to add per record 1, 2, 3, etc... like this: <div id="record_1">localstorage value</div> <div id="record_2">localstorage value</div> <div id="record_3">localstorage value</div> <div id="record_4">localstorage value</div> <div id="record_5">localstorage value</div> <div id="record_6">localstorage value</div> etc...

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• How do I implement page authorizaton in ASP.NET using a SQL store instead of web.config?

  - by drachenstern

  For instance, the way we're doing it now is like thus: (in the web.config) <location path="somePath"> <system.web> <authorization> <allow roles="approvedRoles"/> <deny users="*"/> </authorization> </system.web> </location> And what I would like to do instead is to store this information in SQL somewhere so that we can manipulate the information more easily. But we want to keep the same functionality that having the information in web.config provides, just like we can use a SqlRoleProvider instead of hardcoding roles in the app. So in other words, if a user currently tries to goto "somePath" and they're not a member of "approvedRoles" then they get redirected back to default.aspx, and if they are a member of "approvedRoles" then they get the page. I want to do the same thing, but without using web.config as the authorization mechanism. So what I'm NOT asking is how do I go about defining roles, or how do I handle logging in to the database, but specifically how do I store the above information in SQL instead of web.config. Actually, I'll take "anywhere but web.config" for now. Any ideas? Is this possible using a "Provider" class? I'm just looking for pointers on what to inherit and maybe some technet documentation. In this regard my googlefoo is lacking since I don't really know where to point. Am I really only looking for AzMan? Is this location-authorization-via-SQL already defined in the default aspnetdb somewhere and I'm missing it? For that matter, has this question already been asked on SO and I've missed it? What would you google?

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• In SQL, if we rename INNER JOIN as INTERSECT JOIN, LEFT OUTER JOIN as LEFT UNION JOIN, and FULL OUTE

  - by Jian Lin

  In SQL, the name Join gives an idea of "merging" or a sense of "union", making something bigger. But in fact, as in the other post http://stackoverflow.com/questions/2706051/in-sql-a-join-is-actually-an-intersection-and-it-is-also-a-linkage-or-a-sidew it turns out that a Join (Inner Join) is actually an Intersection. So if we think of Join = Inner Join = Intersect Join Left Outer Join = Left Union Join Full Outer Join = Full Union Join = Union Join then we always get a feel of what's happening, and maybe never forget what they are easily. In a way, we can think of Intersect as "making it less", therefore it is excluding something. That's why the name "Join" won't go with the idea of "Intersect". But in fact, both Intersect and Union can be thought of as: Union: bringing something together and merge them unconditionally. Intersect: bringing something together and merge them based on some condition. so the "bringing something together" is probably what "Join" is all about. It is like, Intersection is a "half glass of water" -- we can thinking of it as "excluding something" or as "bringing something together and accepting the common ones". So if the word "Intersect Join" is used, maybe a clear picture is there, and "Union Join" can be a clear picture too. Maybe the word "Inner Join" and "Outer Join" is very clear when we use SQL a lot. Somehow, the word "Outer" tends to give a feeling that it is "outside" and excluding something rather than a "Union".

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• Why Sql not bringing back results unless I set varchar size?

  - by Tom

  I've got an SQL script that fetches results based on the colour passed to it, but unless I set the size of the variable defined as a varchar to (50) no results are returned. If I use: like ''+@Colour+'%' then it works but I don't really want to use it in case it brings back results I don't need or want. The column FieldValue has a type of Varchar(Max) (which can't be changed as this field can store different things). It is part of aspdotnetstorefront package so I can't really change the tables or field types. This doesn't work: declare @Col VarChar set @Col = 'blu' select * from dbo.MetaData as MD where MD.FieldValue = @Colour But this does work: declare @Col VarChar (50) set @Col = 'blu' select * from dbo.MetaData as MD where MD.FieldValue = @Colour The code is used in the following context, but should work either way <query name="Products" rowElementName="Variant"> <sql> <![CDATA[ select * from dbo.MetaData as MD where MD.Colour = @Colour ]]> </sql> <queryparam paramname="@ProductID" paramtype="runtime" requestparamname="pID" sqlDataType="int" defvalue="0" validationpattern="^\d{1,10}$" /> <queryparam paramname="@Colour" paramtype="runtime" requestparamname="pCol" sqlDataType="varchar" defvalue="" validationpattern=""/> </query> Any Ideas?

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• Updating Multiple Drop-Down Lists in AjaxTags

  - by Berin

  I'm using AjaxTags as a defined set of JSP tags to facilitate AJAX programming, saving me from some heavy lifting. The project is in trial mode, so I may not adopt the technology and write my own solution. Here's what I'm running into (code abbreviated) I have a drop-down list that defines an item that populates numerous other drop-down lists. <form> ... <select id="item1" name="item1"> <c:forEach items="${list1}" var="item"> <option value="${item}">${item}</option> </c:forEach> </select> <select id="item2" name="items2"></select> <select id="item3" name="items3"></select> ... </form> <ajax:select source="item1" target="item2" baseUrl="${pageContext.request.contextPath}/doAction.view" parameters="action1 = {item}" /> <ajax:select source="item1" target="item3" baseUrl="${pageContext.request.contextPath}/doAction.view" parameters="action2 = {item}" /> The code above works with my back-end, initiating a call to a servlet class that is listening for calls, parses the parameter and takes action based upon the name of the parameter passed. The problem comes from adding the second ajax:select tag above. An action in drop-down "item 1" only causes "item 3" to be populated with new values. What I want is for an action in "item 1" to populate "item 2" and "item 3" (and 4, 5, 6...). Has anyone else used AjaxTags (ajaxtags.sourceforge.net) and solved a similar solution? Environment Details: Tomcat 5.5.27, Spring 2.0.8, Struts 1.2.9, Java 6

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• SQL2008R2 install issues on windows 7 - unable to install setup support files?

  - by Liam

  I am trying to install the above but am getting the following errors when its attempting to install the setup support files, This is the first error that occurs during installation of the setup support files TITLE: Microsoft SQL Server 2008 R2 Setup ------------------------------ The following error has occurred: The installer has encountered an unexpected error. The error code is 2337. Could not close file: Microsoft.SqlServer.GridControl.dll GetLastError: 0. Click 'Retry' to retry the failed action, or click 'Cancel' to cancel this action and continue setup. For help, click: http://go.microsoft.com/fwlink?LinkID=20476&ProdName=Microsoft+SQL+Server&EvtSrc=setup.rll&EvtID=50000&ProdVer=10.50.1600.1&EvtType=0xDF039760%25401201%25401 This is the second error that occurs after clicking continue in the installer after the first error is generated TITLE: Microsoft SQL Server 2008 R2 Setup ------------------------------ The following error has occurred: SQL Server Setup has encountered an error when running a Windows Installer file. Windows Installer error message: The Windows Installer Service could not be accessed. This can occur if the Windows Installer is not correctly installed. Contact your support personnel for assistance. Windows Installer file: C:\Users\watto_uk\Desktop\In-Digital\Software\Microsoft\SQL Server 2008 R2\1033_ENU_LP\x64\setup\sqlsupport_msi\SqlSupport.msi Windows Installer log file: C:\Program Files\Microsoft SQL Server\100\Setup Bootstrap\Log\20110713_205508\SqlSupport_Cpu64_1_ComponentUpdate.log Click 'Retry' to retry the failed action, or click 'Cancel' to cancel this action and continue setup. For help, click: http://go.microsoft.com/fwlink?LinkID=20476&ProdName=Microsoft+SQL+Server&EvtSrc=setup.rll&EvtID=50000&ProdVer=10.50.1600.1&EvtType=0xDC80C325 These errors are generated from an ISO package downloaded from Microsoft. I have also tried using the web platform installer to install the express version instead but the SQL Server Installation fails with that also. The management studio installs fine but not the server. I have checked to make sure that the Windows Installer is started and it is. Cant seem to find an answer for this anywhere as all previous reported issues appear to be related to XP. I did have the express edition installed on the machine previously but uninstalled it to upgrade to the full version, I wish I hadn't now. Can anyone kindly offer any advice or point me in the right direction to stop me going insane with this? Any advice will be appreciated. Update======================= After digging a bit deeper ive located details of the error from the setup log file, i can also upload the log file if required. MSI (s) (E8:28) [23:35:18:705]: Assembly Error:The module '%1' was expected to contain an assembly manifest. MSI (s) (E8:28) [23:35:18:705]: Note: 1: 1935 2: 3: 0x80131018 4: IStream 5: Commit 6: MSI (s) (E8:28) [23:35:18:705]: Note: 1: 2337 2: 0 3: Microsoft.SqlServer.GridControl.dll MSI (s) (E8:28) [23:35:22:869]: Product: Microsoft SQL Server 2008 R2 Setup (English) -- Error 2337. The installer has encountered an unexpected error. The error code is 2337. Could not close file: Microsoft.SqlServer.GridControl.dll GetLastError: 0. MSI (s) (E8:28) [23:35:22:916]: Internal Exception during install operation: 0xc0000005 at 0x000007FEE908A23E. MSI (s) (E8:28) [23:35:22:916]: WER report disabled for silent install. MSI (s) (E8:28) [23:35:22:932]: Internal MSI error. Installer terminated prematurely. Error 2337. The installer has encountered an unexpected error. The error code is 2337. Could not close file: Microsoft.SqlServer.GridControl.dll GetLastError: 0. MSI (s) (E8:28) [23:35:22:932]: MainEngineThread is returning 1603 MSI (s) (E8:58) [23:35:22:932]: RESTART MANAGER: Session closed. Installer stopped prematurely. MSI (c) (0C:14) [23:35:22:947]: Decrementing counter to disable shutdown. If counter >= 0, shutdown will be denied. Counter after decrement: -1 MSI (c) (0C:14) [23:35:22:947]: MainEngineThread is returning 1601 === Verbose logging stopped: 13/07/2011 23:35:22 ===

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• What is the best way to auto-generate INSERT statements for a SQL Server table?

  - by JosephStyons

  We are writing a new application, and while testing, we will need a bunch of dummy data. I've added that data by using MS Access to dump excel files into the relevant tables. Every so often, we want to "refresh" the relevant tables, which means dropping them all, re-creating them, and running a saved MS Access append query. The first part (dropping & re-creating) is an easy sql script, but the last part makes me cringe. I want a single setup script that has a bunch of INSERTs to regenerate the dummy data. I have the data in the tables now. What is the best way to automatically generate a big list of INSERT statements from that dataset? I'm thinking of something like in TOAD (for Oracle) where you can right-click on a grid and click Save As-Insert Statements, and it will just dump a big sql script wherever you want. The only way I can think of doing it is to save the table to an excel sheet and then write an excel formula to create an INSERT for every row, which is surely not the best way. I'm using the 2008 Management Studio to connect to a SQL Server 2005 database.

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• How can I access mainframe data with .Net applications and SQL Queries?

  - by orandov

  We have a large amount of data stored on an IBM mainframe using VSAM files. A lot of this data is dropped on the network every night in the form of text files to be processed and dumped into FoxPro and SQL Server databases. There are also many text files produced nightly by custom applications that get uploaded to the mainframe to keep everything in sync. Keeping the everything in sync is very tricky, to say the least. We are not getting rid of the mainframe any time soon and we would like to replace all the nightly batch processing with real time access to the mainframe data. We would like to be able to: Read data directly from the mainframe and produce reports based on it. Possibly using SQL queries. Read and Write data from custom .Net applications. We are not looking for a new platform to interface with the mainframe like Information Builders offers. We don't want to build application modules or reports with new "Business Intelligence" tools. We already know how to generate reports and write custom applications using SQL,.Net, Visual Studio, etc. All we are looking for is some sort of adapter to connect to our mainframe data. Any ideas are appreciated.

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