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  • How can I work around SQL Server - Inline Table Value Function execution plan variation based on par

    - by Ovidiu Pacurar
    Here is the situation: I have a table value function with a datetime parameter ,lest's say tdf(p_date) , that filters about two million rows selecting those with column date smaller than p_date and computes some aggregate values on other columns. It works great but if p_date is a custom scalar value function (returning the end of day in my case) the execution plan is altered an the query goes from 1 sec to 1 minute execution time. A proof of concept table - 1K products, 2M rows: CREATE TABLE [dbo].[POC]( [Date] [datetime] NOT NULL, [idProduct] [int] NOT NULL, [Quantity] [int] NOT NULL ) ON [PRIMARY] The inline table value function: CREATE FUNCTION tdf (@p_date datetime) RETURNS TABLE AS RETURN ( SELECT idProduct, SUM(Quantity) AS TotalQuantity, max(Date) as LastDate FROM POC WHERE (Date < @p_date) GROUP BY idProduct ) The scalar value function: CREATE FUNCTION [dbo].[EndOfDay] (@date datetime) RETURNS datetime AS BEGIN DECLARE @res datetime SET @res=dateadd(second, -1, dateadd(day, 1, dateadd(ms, -datepart(ms, @date), dateadd(ss, -datepart(ss, @date), dateadd(mi,- datepart(mi,@date), dateadd(hh, -datepart(hh, @date), @date)))))) RETURN @res END Query 1 - Working great SELECT * FROM [dbo].[tdf] (getdate()) The end of execution plan: Stream Aggregate Cost 13% <--- Clustered Index Scan Cost 86% Query 2 - Not so great SELECT * FROM [dbo].[tdf] (dbo.EndOfDay(getdate())) The end of execution plan: Stream Aggregate Cost 4% <--- Filter Cost 12% <--- Clustered Index Scan Cost 86%

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  • KODO: how set up fetch plan for bidirectional relationships?

    - by BestPractices
    Running KODO 4.2 and having an issue inefficient queries being generated by KODO. This happens when fetching an object that contains a collection where that collection has a bidrectional relationship back to the first object. Class Classroom { List<Student> _students; } Class Student { Classroom _classroom; } If we create a fetch plan to get a list of Classrooms and their corresponding Students by setting up the following fetch plan: fetchPlan.addField(Classroom.class,”_students”); This will result in two queries (get the classrooms and then get all students that are in those classrooms), which is what we would expect. However, if we include the reference back to the classroom in our fetch plan in order for the _classroom field to get populated by doing fetchPlan.addField(Student.class, “_classroom”), this will result in X number of additional queries where X is the number of students in each classroom. Can anyone explain how to fix this? KODO already has the original Classroom objects at the point that it's executing the queries to retrieve the Classroom objects and set them in each Student object's _classroom field. So I would expect KODO to simply set those objects in the _classroom field on each Student object accordingly and not go back to the database. Once again, the documentation is sorely lacking with Kodo/JDO/OpenJPA but from what I've read it should be able to do this more efficiently. Note-- EAGER_FETCH.PARALLEL is turned on and I have tried this with caching (query and data caches) turned on and off and there is no difference in the resultant queries.

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  • Optimizing Haskell code

    - by Masse
    I'm trying to learn Haskell and after an article in reddit about Markov text chains, I decided to implement Markov text generation first in Python and now in Haskell. However I noticed that my python implementation is way faster than the Haskell version, even Haskell is compiled to native code. I am wondering what I should do to make the Haskell code run faster and for now I believe it's so much slower because of using Data.Map instead of hashmaps, but I'm not sure I'll post the Python code and Haskell as well. With the same data, Python takes around 3 seconds and Haskell is closer to 16 seconds. It comes without saying that I'll take any constructive criticism :). import random import re import cPickle class Markov: def __init__(self, filenames): self.filenames = filenames self.cache = self.train(self.readfiles()) picklefd = open("dump", "w") cPickle.dump(self.cache, picklefd) picklefd.close() def train(self, text): splitted = re.findall(r"(\w+|[.!?',])", text) print "Total of %d splitted words" % (len(splitted)) cache = {} for i in xrange(len(splitted)-2): pair = (splitted[i], splitted[i+1]) followup = splitted[i+2] if pair in cache: if followup not in cache[pair]: cache[pair][followup] = 1 else: cache[pair][followup] += 1 else: cache[pair] = {followup: 1} return cache def readfiles(self): data = "" for filename in self.filenames: fd = open(filename) data += fd.read() fd.close() return data def concat(self, words): sentence = "" for word in words: if word in "'\",?!:;.": sentence = sentence[0:-1] + word + " " else: sentence += word + " " return sentence def pickword(self, words): temp = [(k, words[k]) for k in words] results = [] for (word, n) in temp: results.append(word) if n > 1: for i in xrange(n-1): results.append(word) return random.choice(results) def gentext(self, words): allwords = [k for k in self.cache] (first, second) = random.choice(filter(lambda (a,b): a.istitle(), [k for k in self.cache])) sentence = [first, second] while len(sentence) < words or sentence[-1] is not ".": current = (sentence[-2], sentence[-1]) if current in self.cache: followup = self.pickword(self.cache[current]) sentence.append(followup) else: print "Wasn't able to. Breaking" break print self.concat(sentence) Markov(["76.txt"]) -- module Markov ( train , fox ) where import Debug.Trace import qualified Data.Map as M import qualified System.Random as R import qualified Data.ByteString.Char8 as B type Database = M.Map (B.ByteString, B.ByteString) (M.Map B.ByteString Int) train :: [B.ByteString] -> Database train (x:y:[]) = M.empty train (x:y:z:xs) = let l = train (y:z:xs) in M.insertWith' (\new old -> M.insertWith' (+) z 1 old) (x, y) (M.singleton z 1) `seq` l main = do contents <- B.readFile "76.txt" print $ train $ B.words contents fox="The quick brown fox jumps over the brown fox who is slow jumps over the brown fox who is dead."

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  • How to improve Varnish performance?

    - by Darkseal
    We're experiencing a strange problem with our current Varnish configuration. 4x Web Servers (IIS 6.5 on Windows 2003 Server, each installed on a Intel(R) Xeon(R) CPU E5450 @ 3.00GHz Quad Core, 4GB RAM) 3x Varnish Servers (varnish-3.0.3 revision 9e6a70f on Ubuntu 12.04.2 LTS - 64 bit/precise, Kernel Linux 3.2.0-29-generic, each installed on a Intel(R) Xeon(R) CPU E5450 @ 3.00GHz Quad Core, 4GB RAM) The Varnish Servers performance are awfully bad in general, to the point that if we shut down one of them the other two are unable to fullfill all the requests and start to skip beats resulting in pending requests, timeouts, 404, etc. What can we do to improve our Varnish performance? Considering that we're getting less than 5k request per seconds during our max peak, we should be able to serve our pages even with a single one of them without any problem. We use a standard, vanilla CFG, as shown by this varnishadm param.show output: acceptor_sleep_decay 0.900000 [] acceptor_sleep_incr 0.001000 [s] acceptor_sleep_max 0.050000 [s] auto_restart on [bool] ban_dups on [bool] ban_lurker_sleep 0.010000 [s] between_bytes_timeout 60.000000 [s] cc_command "exec gcc -std=gnu99 -g -O2 -pthread -fpic -shared - Wl,-x -o %o %s" cli_buffer 8192 [bytes] cli_timeout 20 [seconds] clock_skew 10 [s] connect_timeout 0.700000 [s] critbit_cooloff 180.000000 [s] default_grace 10.000000 [seconds] default_keep 0.000000 [seconds] default_ttl 120.000000 [seconds] diag_bitmap 0x0 [bitmap] esi_syntax 0 [bitmap] expiry_sleep 1.000000 [seconds] fetch_chunksize 128 [kilobytes] fetch_maxchunksize 262144 [kilobytes] first_byte_timeout 60.000000 [s] group varnish (113) gzip_level 6 [] gzip_memlevel 8 [] gzip_stack_buffer 32768 [Bytes] gzip_tmp_space 0 [] gzip_window 15 [] http_gzip_support off [bool] http_max_hdr 64 [header lines] http_range_support on [bool] http_req_hdr_len 8192 [bytes] http_req_size 32768 [bytes] http_resp_hdr_len 8192 [bytes] http_resp_size 32768 [bytes] idle_send_timeout 60 [seconds] listen_address :80 listen_depth 1024 [connections] log_hashstring on [bool] log_local_address off [bool] lru_interval 2 [seconds] max_esi_depth 5 [levels] max_restarts 4 [restarts] nuke_limit 50 [allocations] pcre_match_limit 10000 [] pcre_match_limit_recursion 10000 [] ping_interval 3 [seconds] pipe_timeout 60 [seconds] prefer_ipv6 off [bool] queue_max 100 [%] rush_exponent 3 [requests per request] saintmode_threshold 10 [objects] send_timeout 600 [seconds] sess_timeout 5 [seconds] sess_workspace 16384 [bytes] session_linger 50 [ms] session_max 100000 [sessions] shm_reclen 255 [bytes] shm_workspace 8192 [bytes] shortlived 10.000000 [s] syslog_cli_traffic on [bool] thread_pool_add_delay 2 [milliseconds] thread_pool_add_threshold 2 [requests] thread_pool_fail_delay 200 [milliseconds] thread_pool_max 2000 [threads] thread_pool_min 5 [threads] thread_pool_purge_delay 1000 [milliseconds] thread_pool_stack unlimited [bytes] thread_pool_timeout 300 [seconds] thread_pool_workspace 65536 [bytes] thread_pools 2 [pools] thread_stats_rate 10 [requests] user varnish (106) vcc_err_unref on [bool] vcl_dir /etc/varnish vcl_trace off [bool] vmod_dir /usr/lib/varnish/vmods waiter default (epoll, poll) This is our default.vcl file: LINK sub vcl_recv { # BASIC recv COMMANDS: # # lookup -> search the item in the cache # pass -> always serve a fresh item (no-caching) # pipe -> like pass but ensures a direct-connection with the backend (no-cache AND no-proxy) # Allow the backend to serve up stale content if it is responding slow. # This defines when Varnish should use a stale object if it has one in the cache. set req.grace = 30s; if (client.ip == "127.0.0.1") { # request from NGINX - do not alter X-Forwarded-For set req.http.HTTPS = "on"; } else { # Add an X-Forwarded-For to keep track of original request unset req.http.HTTPS; unset req.http.X-Forwarded-For; set req.http.X-Forwarded-For = client.ip; } set req.backend = www_director; # Strip all cookies to force an anonymous request when the back-end servers are down. if (!req.backend.healthy) { unset req.http.Cookie; } ## HHTP Accept-Encoding if (req.http.Accept-Encoding) { if (req.http.Accept-Encoding ~ "gzip") { set req.http.Accept-Encoding = "gzip"; } else if (req.http.Accept-Encoding ~ "deflate") { set req.http.Accept-Encoding = "deflate"; } else { unset req.http.Accept-Encoding; } } if (req.request != "GET" && req.request != "HEAD" && req.request != "PUT" && req.request != "POST" && req.request != "TRACE" && req.request != "OPTIONS" && req.request != "DELETE") { /* non-RFC2616 or CONNECT */ return (pipe); } if (req.request != "GET" && req.request != "HEAD") { /* only deal with GET and HEAD by default */ return (pass); } if (req.http.Authorization) { return (pass); } if (req.http.HTTPS ~ "on") { return (pass); } ###################################################### # COOKIE HANDLING ###################################################### # METHOD 1: do not remove cookies, but pass the page if they contain TB_NC if (!(req.url ~ "(?i)\.(png|gif|ipeg|jpg|ico|swf|css|js)(\?[a-z0-9]+)?$")) { if (req.http.Cookie && req.http.Cookie ~ "TB_NC") { return (pass); } } return (lookup); } # Code determining what to do when serving items from the IIS Server sub vcl_fetch { unset beresp.http.Server; set beresp.http.Server = "Server-1"; # Allow items to be stale if needed. This is the maximum time Varnish should keep an object. set beresp.grace = 1h; if (req.url ~ "(?i)\.(png|gif|ipeg|jpg|ico|swf|css|js)(\?[a-z0-9]+)?$") { unset beresp.http.set-cookie; } # Default Varnish VCL logic if (!beresp.cacheable || beresp.ttl <= 0s || beresp.http.Set-Cookie || beresp.http.Vary == "*") { set beresp.ttl = 120 s; return(hit_for_pass); } # Not Cacheable if it has specific TB_NC no-caching cookie if (req.http.Cookie && req.http.Cookie ~ "TB_NC") { set beresp.http.X-Cacheable = "NO:Got Cookie"; set beresp.ttl = 120 s; return(hit_for_pass); } # Not Cacheable if it has Cache-Control private else if (beresp.http.Cache-Control ~ "private") { set beresp.http.X-Cacheable = "NO:Cache-Control=private"; set beresp.ttl = 120 s; return(hit_for_pass); } # Not Cacheable if it has Cache-Control no-cache or Pragma no-cache else if (beresp.http.Cache-Control ~ "no-cache" || beresp.http.Pragma ~ "no-cache") { set beresp.http.X-Cacheable = "NO:Cache-Control=no-cache (or pragma no-cache)"; set beresp.ttl = 120 s; return(hit_for_pass); } # If we reach to this point, the object is cacheable. # Cacheable but with not enough ttl: we need to extend the lifetime of the object artificially # NOTE: Varnish default TTL is set in /etc/sysconfig/varnish # and can be checked using the following command: # varnishadm param.show default_ttl else if (beresp.ttl < 1s) { set beresp.ttl = 5s; set beresp.grace = 5s; set beresp.http.X-Cacheable = "YES:FORCED"; } # Cacheable and with valid TTL. else { set beresp.http.X-Cacheable = "YES"; } # DEBUG INFO (Cookies) # set beresp.http.X-Cookie-Debug = "Request cookie: " + req.http.Cookie; return(deliver); } sub vcl_error { set obj.http.Content-Type = "text/html; charset=utf-8"; if (obj.status == 404) { synthetic {" <!-- Markup for the 404 page goes here --> "}; } else if (obj.status == 500) { synthetic {" <!-- Markup for the 500 page goes here --> "}; } else if (obj.status == 503) { if (req.restarts < 4) { return(restart); } else { synthetic {" <!-- Markup for the 503 page goes here --> "}; } } else { synthetic {" <!-- Markup for a generic error page goes here --> "}; } } sub vcl_deliver { if (obj.hits > 0) { set resp.http.X-Cache = "HIT"; } else { set resp.http.X-Cache = "MISS"; } } Thanks in advance,

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  • Why does lighttpd keep static files in cache, even when modified on disk ?

    - by Pixelastic
    I am using lighttpd to serve static files. I have a bunch of images in a dir that I regularly update. This will change the file content (and filesize) as well as the modification date, but not their filename. When I access the files through http, the updates are not taken into account and lighty serves the old file. I can manually rename the file to something different, then lighttpd will return a 404 error, and if I rename my file back, I will get the correct updated version. Seems like lightty is using some kind of cache mechanism of its own (which is fine) to return static files. Unfortunatly, it seems that this mechanism doesn't update itself when files are modified. I checked through Wireshark, and my browser is really doing a request to the file, this is not a browser caching issue. It returns a 200 OK when requesting it from an empty cache, and a 304 Not Modified otherwise, as expected. But the file is returned with a wrong Last-Modified header that do not reflect the real last modification date. Maybe there is some config directive that I am not aware of ? I would like the files returned by lighty to reflect the changes made on disk directly, or at least being able to invalidate its cache.

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  • Troubleshooting Application Timeouts in SQL Server

    - by Tara Kizer
    I recently received the following email from a blog reader: "We are having an OLTP database instance, using SQL Server 2005 with little to moderate traffic (10-20 requests/min). There are also bulk imports that occur at regular intervals in this DB and the import duration ranges between 10secs to 1 min, depending on the data size. Intermittently (2-3 times in a week), we face an issue, where queries get timed out (default of 30 secs set in application). On analyzing, we found two stored procedures, having queries with multiple table joins inside them of taking a long time (5-10 mins) in getting executed, when ideally the execution duration ranges between 5-10 secs. Execution plan of the same displayed Clustered Index Scan happening instead of Clustered Index Seek. All required Indexes are found to be present and Index fragmentation is also minimal as we Rebuild Indexes regularly alongwith Updating Statistics. With no other alternate options occuring to us, we restarted SQL server and thereafter the performance was back on track. But sometimes it was still giving timeout errors for some hits and so we also restarted IIS and that stopped the problem as of now." Rather than respond directly to the blog reader, I thought it would be more interesting to share my thoughts on this issue in a blog. There are a few things that I can think of that could cause abnormal timeouts: Blocking Bad plan in cache Outdated statistics Hardware bottleneck To determine if blocking is the issue, we can easily run sp_who/sp_who2 or a query directly on sysprocesses (select * from master..sysprocesses where blocking <> 0).  If blocking is present and consistent, then you'll need to determine whether or not to kill the parent blocking process.  Killing a process will cause the transaction to rollback, so you need to proceed with caution.  Killing the parent blocking process is only a temporary solution, so you'll need to do more thorough analysis to figure out why the blocking was present.  You should look into missing indexes and perhaps consider changing the database's isolation level to READ_COMMITTED_SNAPSHOT. The blog reader mentions that the execution plan shows a clustered index scan when a clustered index seek is normal for the stored procedure.  A clustered index scan might have been chosen either because that is what is in cache already or because of out of date statistics.  The blog reader mentions that bulk imports occur at regular intervals, so outdated statistics is definitely something that could cause this issue.  The blog reader may need to update statistics after imports are done if the imports are changing a lot of data (greater than 10%).  If the statistics are good, then the query optimizer might have chosen to scan rather than seek in a previous execution because the scan was determined to be less costly due to the value of an input parameter.  If this parameter value is rare, then its execution plan in cache is what we call a bad plan.  You want the best plan in cache for the most frequent parameter values.  If a bad plan is a recurring problem on your system, then you should consider rewriting the stored procedure.  You might want to break up the code into multiple stored procedures so that each can have a different execution plan in cache. To remove a bad plan from cache, you can recompile the stored procedure.  An alternative method is to run DBCC FREEPROCACHE which drops the procedure cache.  It is better to recompile stored procedures rather than dropping the procedure cache as dropping the procedure cache affects all plans in cache rather than just the ones that were bad, so there will be a temporary performance penalty until the plans are loaded into cache again. To determine if there is a hardware bottleneck occurring such as slow I/O or high CPU utilization, you will need to run Performance Monitor on the database server.  Hopefully you already have a baseline of the server so you know what is normal and what is not.  Be on the lookout for I/O requests taking longer than 12 milliseconds and CPU utilization over 90%.  The servers that I support typically are under 30% CPU utilization, but your baseline could be higher and be within a normal range. If restarting the SQL Server service fixes the problem, then the problem was most likely due to blocking or a bad plan in the procedure cache.  Rather than restarting the SQL Server service, which causes downtime, the blog reader should instead analyze the above mentioned things.  Proceed with caution when restarting the SQL Server service as all transactions that have not completed will be rolled back at startup.  This crash recovery process could take longer than normal if there was a long-running transaction running when the service was stopped.  Until the crash recovery process is completed on the database, it is unavailable to your applications. If restarting IIS fixes the problem, then the problem might not have been inside SQL Server.  Prior to taking this step, you should do analysis of the above mentioned things. If you can think of other reasons why the blog reader is facing this issue a few times a week, I'd love to hear your thoughts via a blog comment.

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  • Caching items in Orchard

    - by Bertrand Le Roy
    Orchard has its own caching API that while built on top of ASP.NET's caching feature adds a couple of interesting twists. In addition to its usual work, the Orchard cache API must transparently separate the cache entries by tenant but beyond that, it does offer a more modern API. Here's for example how I'm using the API in the new version of my Favicon module: _cacheManager.Get( "Vandelay.Favicon.Url", ctx => { ctx.Monitor(_signals.When("Vandelay.Favicon.Changed")); var faviconSettings = ...; return faviconSettings.FaviconUrl; }); .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } There is no need for any code to test for the existence of the cache entry or to later fill that entry. Seriously, how many times have you written code like this: var faviconUrl = (string)cache["Vandelay.Favicon.Url"]; if (faviconUrl == null) { faviconUrl = ...; cache.Add("Vandelay.Favicon.Url", faviconUrl, ...); } Orchard's cache API takes that control flow and internalizes it into the API so that you never have to write it again. Notice how even casting the object from the cache is no longer necessary as the type can be inferred from the return type of the Lambda. The Lambda itself is of course only hit when the cache entry is not found. In addition to fetching the object we're looking for, it also sets up the dependencies to monitor. You can monitor anything that implements IVolatileToken. Here, we are monitoring a specific signal ("Vandelay.Favicon.Changed") that can be triggered by other parts of the application like so: _signals.Trigger("Vandelay.Favicon.Changed"); In other words, you don't explicitly expire the cache entry. Instead, something happens that triggers the expiration. Other implementations of IVolatileToken include absolute expiration or monitoring of the files under a virtual path, but you can also come up with your own.

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  • Applying the Knuth-Plass algorithm (or something better?) to read two books with different length and amount of chapters in parallel

    - by user147133
    I have a Bible reading plan that covers the whole Bible in 180 days. For the most of the time, I read 5 chapters in the Old Testament and 1 or 2 (1.5) chapters in the New Testament each day. The problem is that some chapters are longer than others (for example Psalm 119 which is 7 times longer than a average chapter in the Bible), and the plan I'm following doesn't take that in count. I end up with some days having a lot more to read than others. I thought I could use programming to make myself a better plan. I have a datastructure with a list of all chapters in the bible and their length in number of lines. (I found that the number of lines is the best criteria, but it could have been number of verses or number of words as well) I then started to think about this problem as a line wrap problem. Think of a chapter like a word, a day like a line and the whole plan as a paragraph. The "length" of a word (a chapter) is the number of lines in that chapter. I could then generate the best possible reading plan by applying a simplified Knuth-Plass algorithm to find the best breakpoints. This works well if I want to read the Bible from beginning to end. But I want to read a little from the new testament each day in parallel with the old testament. Of course I can run the Knuth-Plass algorithm on the Old Testament first, then on the New Testament and get two separate plans. But those plans merged is not a optimal plan. Worst-case days (days with extra much reading) in the New Testament plan will randomly occur on the same days as the worst-case days in the Old Testament. Since the New Testament have about 180*1.5 chapters, the plan is generally to read one chapter the first day, two the second, one the third etc... And I would like the plan for the Old Testament to compensate for this alternating length. So I will need a new and better algorithm, or I will have to use the Knuth-Plass algorithm in a way that I've not figured out. I think this could be a interesting and challenging nut for people interested in algorithms, so therefore I wanted to see if any of you have a good solution in mind.

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  • ?????Exadata????

    - by Liu Maclean(???)
    ??check Exadata Image & OS versions , GI & DB patches sundiag exacheck cellserv ==> imageinfo dbhost ==> /usr/local/bin/imagehistory Also check the version of the switch. Login to Switch and execute the following command [root@myswitch-1 sbin]# version [root@dmorlsw-ib2 sbin]# cd /usr/local/bin [root@dmorlsw-ib2 bin]# ls -lrt version -rwxr-xr-x 1 root root 20356 Apr 4 2011 version Output will look as below. [root@dmorlsw-ib2 ~]# version SUN DCS 36p version: 1.3.3-2 Build time: Apr 4 2011 11:15:19 SP board info: Manufacturing Date: 2009.05.05 Serial Number: "NCD3X0178" Hardware Revision: 0x0006 Firmware Revision: 0x0102 BIOS version: NOW1R112 BIOS date: 04/24/2009 ib8# cat /sys/class/infiniband/is4_0/fw_ver 7.2.300 ib8 # cat /sys/class/dmi/id/bios_version NOW1R112 ib8 # nm2version NM2-36p version: 1.0.1-1 Build time: Sep 14 2009 12:52:51 ComExpress info: Manufacturing Date: 2009.08.19 Serial Number: Hardware Revision: 0x0006 Firmware Revision: 0x0102 { case `uname` in Linux ) ILOM="/usr/bin/ipmitool sunoem cli" ;; SunOS ) ILOM="/opt/ipmitool/bin/ipmitool sunoem cli" ;; esac ; ImageInfo="/opt/oracle.cellos/imageinfo" ; uname -srm ; head -1 /etc/*release ; uptime | cut -d, -f1 ; $ILOM "show /SP system_description system_identifier" | grep = ; $ImageInfo -activated -node -status -ver | grep -v ^$ ; } | tee /tmp/ExaInfo.log $GRID_HOME/OPatch/opatch lsinv -all -oh $GRID_HOME | tee /tmp/OPatchInv.log $ORACLE_HOME/OPatch/opatch lsinv -all | tee -a /tmp/OPatchInv.log cat /tmp/ExaInfo.log Linux 2.6.18-128.1.16.0.1.el5 x86_64 ==> /etc/enterprise-release <== Enterprise Linux Enterprise Linux Server release 5.3 (Carthage) ==> /etc/redhat-release <== Enterprise Linux Enterprise Linux Server release 5.3 (Carthage) 20:37:56 up 458 days system_description = SUN FIRE X4170 SERVER, ILOM v3.0.6.10.b, r52264 system_identifier = Sun Oracle Database Machine Active image version: 11.2.1.2.3 Active image activated: XXXX-XX-XX 12:27:12 +0800 Active image status: success Active node type: COMPUTE Inactive image version: undefined FileName: OPatchInv.log ---------------- ... Oracle Home       : /u01/app/11.2.0/grid Central Inventory : /u01/app/oraInventory   from           : /etc/oraInst.loc OPatch version    : 11.2.0.1.2 OUI version       : 11.2.0.1.0 OUI location      : /u01/app/11.2.0/grid/oui ... -------------------------------------------------------------------------------- List of Oracle Homes:   Name                                       Location   Ora11g_gridinfrahome1         /u01/app/11.2.0/grid   OraDb11g_home1                  /u01/app/oracle/product/11.2.0/dbhome_1 -------------------------------------------------------------------------------- Installed Top-level Products (1): Oracle Grid Infrastructure                                           11.2.0.1.0 ... Interim patches (2) : Patch  9524394      : applied on Thu Jun 03 20:46:05 CST 2010 ... {TRACKING BUG FOR 11.2.0.1 DB MACHINE BUNDLE PATCH 3} Patch  9455587      : applied on Fri Apr 02 18:27:47 CST 2010 ... {MERGE REQUEST ON TOP OF 11.2.0.1.0 FOR BUGS 8483425 8667622 8702731 8730804} Rac system comprising of multiple nodes  Local node = dbserv01  Remote node = dbserv02  Remote node = dbserv03  Remote node = dbserv04 -------------------------------------------------------------------------------- OPatch succeeded. ... Oracle Home       : /u01/app/oracle/product/11.2.0/dbhome_1 ... Oracle Database 11g                                                  11.2.0.1.0 ... Interim patches (5) : Patch  8888434      : applied on Sat Jan 08 00:27:33 CST 2011 ... {AIX-ASM-CF: LMHB TERMINATE INSTANCE WHEN OFFLINE ONE FAILGROUP IN ASM DG} Patch  8730312      : applied on Thu Jun 03 21:30:03 CST 2010 ... {FWD MERGE FOR BASE BUG 8715387 FOR 12G} Patch  9502717      : applied on Thu Jun 03 21:25:54 CST 2010 ... {LMS HIT ORA-600 [KJBLDRMNEXTPKEY:SEEN] AND CRASHED THE INSTANCE} { + same 2 as GI above} ?? cell server Cache Policy cell08# MegaCli64 -LDInfo -Lall -aALL | grep 'Current Cache Policy' Current Cache Policy: WriteThrough, ReadAheadNone, Direct, No Write Cache if Bad BBU cell09# MegaCli64 -LDInfo -Lall -aALL | grep 'Current Cache Policy' Current Cache Policy: WriteBack, ReadAheadNone, Direct, No Write Cache if Bad BBU Default Cache Policy: WriteBack, ReadAheadNone, Direct, No Write Cache if Bad BBU Current Cache Policy: WriteThrough, ReadAheadNone, Direct, No Write Cache if Bad BBU Cache policy is in WB Would recommend proactive  battery repalcement. Example : a. /opt/MegaRAID/MegaCli/MegaCli64 -LDGetProp  -Cache -LALL -aALL ####( Will list the cache policy) b. /opt/MegaRAID/MegaCli/MegaCli64 -LDSetProp  -WB  -LALL -aALL ####( Will try to change teh policy from xx to WB)     So policy Change to WB will not come into effect immediately     Set Write Policy to WriteBack on Adapter 0, VD 0 (target id: 0) success     Battery capacity is below the threshold value ??cell BBU??????: cell08# /opt/MegaRAID/MegaCli/MegaCli64 -AdpBbuCmd -GetBbuStatus -a0 BBU status for Adapter: 0 BatteryType: iBBU Voltage: 4061 mV Current: 0 mA Temperature: 36 C BBU Firmware Status: Charging Status : None Voltage : OK Temperature : OK Learn Cycle Requested : No Learn Cycle Active : No Learn Cycle Status : OK Learn Cycle Timeout : No I2c Errors Detected : No Battery Pack Missing : No Battery Replacement required : No Remaining Capacity Low : Yes Periodic Learn Required : No Battery state: GasGuageStatus: Fully Discharged : No Fully Charged : Yes Discharging : Yes Initialized : Yes Remaining Time Alarm : No Remaining Capacity Alarm: No Discharge Terminated : No Over Temperature : No Charging Terminated : No Over Charged : No Relative State of Charge: 99 % Charger System State: 49168 Charger System Ctrl: 0 Charging current: 0 mA Absolute state of charge: 21 % Max Error: 2 % Exit Code: 0x00 ????BBU ??: dcli -g ~/cell_group -l root -t '{ uname -srm ; head -1 /etc/*release ; uptime | cut -d, -f1 ; imagehistory ; ipmitool sunoem cli "show /SP system_description system_identifier" | grep = ; ipmitool sunoem cli "show /SP/policy FLASH_ACCELERATOR_CARD_INSTALLED /opt/MegaRAID/MegaCli/MegaCli64 -AdpBbuCmd -GetBbuStatus -a0 | egrep -i 'BBU|Battery|Charge:|Fully|Low|Learn' ; }' | tee /tmp/ExaInfo.log Target cells: ['cellserv01', 'cellserv02', 'cellserv03', 'cellserv04', 'cellserv05', 'cellserv06', 'cellserv07'] cellserv01: Linux 2.6.18-128.1.16.0.1.el5 x86_64 cellserv01: ==> /etc/enterprise-release <== cellserv01: Enterprise Linux Enterprise Linux Server release 5.3 (Carthage) cellserv01: cellserv01: ==> /etc/redhat-release <== cellserv01: Enterprise Linux Enterprise Linux Server release 5.3 (Carthage) cellserv01: 01:17:39 up 635 days cellserv01: Version : 11.2.1.2.1 cellserv01: Image activation date : 2011-03-25 11:59:34 -0800 cellserv01: Imaging mode : fresh cellserv01: Imaging status : success cellserv01: cellserv01: Version : 11.2.1.2.3 cellserv01: Image activation date : 2011-04-13 12:15:46 +0800 cellserv01: Imaging mode : patch cellserv01: Imaging status : success cellserv01: cellserv01: Version : 11.2.1.2.6 cellserv01: Image activation date : 2011-05-27 23:08:22 +0800 cellserv01: Imaging mode : patch cellserv01: Imaging status : success cellserv01: cellserv01: system_description = SUN FIRE X4275 SERVER, ILOM v3.0.6.10.b, r52264 cellserv01: system_identifier = Sun Oracle Database Machine cellserv01: Connected. Use ^D to exit. cellserv01: -> show /SP/policy FLASH_ACCELERATOR_CARD_INSTALLED cellserv01: show: No matching properties found. cellserv01: cellserv01: -> Session closed cellserv01: Disconnected cellserv01: BBU status for Adapter: 0 cellserv01: BatteryType: iBBU cellserv01: BBU Firmware Status: cellserv01: Learn Cycle Requested : No cellserv01: Learn Cycle Active : No cellserv01: Learn Cycle Status : OK cellserv01: Learn Cycle Timeout : No cellserv01: Battery Pack Missing : No cellserv01: Battery Replacement required : No cellserv01: Remaining Capacity Low : Yes cellserv01: Periodic Learn Required : No cellserv01: Battery state: cellserv01: Fully Discharged : No cellserv01: Fully Charged : Yes cellserv01: Relative State of Charge: 99 % cellserv01: Absolute state of charge: 21 % dcli -l root -g /root/all_group '/opt/MegaRAID/MegAaCli/MegaCli64 -AdpBbuCmd -a0' > BBU.out check ipmi: dcli -g ~/cell_group -l root -t '{ > ipmitool sunoem cli "show /SP/policy FLASH_ACCELERATOR_CARD_INSTALLED" | grep = ; MegaCli64 -LDInfo -Lall -aALL | grep 'Current Cache Policy' ; }' | tee /tmp/ExaCells.log

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  • Why is the page still caching even after the no-cache headers have been sent?

    - by Matthew Grasinger
    I've done a ton of research on this and have asked many people with help and still no success. Here are the details... I'm involved in developing a website that pulls data from various data files, combines them in a temp .csv file, and then is graphed using a popular graphing library: dygraphs. The bulk of the website is written in PHP. The parameters that determine the data that is graphed are stored in the users session, the .csv is named after the users session and available for download, and then the .csv file is written in a script that passes it to the dygraphs object. And we've found, even with the no-cache headers sent: header("Cache-Control: no-cache, must-revalidate"); header("Expires: Sat, 26 Jul 1997 05:00:00 GMT"); Many users experience in the middle of a session, (if enough different graphs are generated) the page displaying an older, static rendering of the page (data they had graphed earlier in the session) as if it were cached and loaded instead of getting a new request. It only gets weirder though: I've checked using developer tools in both Firefox and Chrome and both browsers are receiving the no-cache headers just fine; Even when the problem occurs if you view the page source, the source is the correct content (a table/legend is also dynamically created using php, the source shows the correct table, but what is rendered is older content); the page begins to render correctly until the graph is about to be display, and then shows the older content; the older content displays as if it were a completely static overlay--the cached graph does not have the same dynamic features (roll over data point display, zoom and pan, etc.) And it is as if the correct page were somewhere beneath it (the download button for the csv file moves depending on how large the table is. The older, static page does nothing if you click the download .csv button, but if you can manage to find the one in the page beneath it you can click and still download the .csv. The data in the .csv is correct) It is one of the strangest things I've seen in development thus far. Some other relevant facts are that all the problems I've personally experience occurred while I was using Chrome. Non of these symptoms have been reported by Firefox users. IE users have had the same problems (IE users are forced to use chrome frame). I'm at my wits end at this point. We've sent the php headers; we've tried setting the cache profile for php on IIS as "DisableCache" (or whatever); we've tried sending a random query string to the results page; we've tried all the appropriate meta tags--all with no success.

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  • Quantifying the effects of partition mis-alignment

    - by Matt
    I'm experiencing some significant performance issues on an NFS server. I've been reading up a bit on partition alignment, and I think I have my partitions mis-aligned. I can't find anything that tells me how to actually quantify the effects of mis-aligned partitions. Some of the general information I found suggests the performance penalty can be quite high (upwards of 60%) and others say it's negligible. What I want to do is determine if partition alignment is a factor in this server's performance problems or not; and if so, to what degree? So I'll put my info out here, and hopefully the community can confirm if my partitions are indeed mis-aligned, and if so, help me put a number to what the performance cost is. Server is a Dell R510 with dual E5620 CPUs and 8 GB RAM. There are eight 15k 2.5” 600 GB drives (Seagate ST3600057SS) configured in hardware RAID-6 with a single hot spare. RAID controller is a Dell PERC H700 w/512MB cache (Linux sees this as a LSI MegaSAS 9260). OS is CentOS 5.6, home directory partition is ext3, with options “rw,data=journal,usrquota”. I have the HW RAID configured to present two virtual disks to the OS: /dev/sda for the OS (boot, root and swap partitions), and /dev/sdb for a big NFS share: [root@lnxutil1 ~]# parted -s /dev/sda unit s print Model: DELL PERC H700 (scsi) Disk /dev/sda: 134217599s Sector size (logical/physical): 512B/512B Partition Table: msdos Number Start End Size Type File system Flags 1 63s 465884s 465822s primary ext2 boot 2 465885s 134207009s 133741125s primary lvm [root@lnxutil1 ~]# parted -s /dev/sdb unit s print Model: DELL PERC H700 (scsi) Disk /dev/sdb: 5720768639s Sector size (logical/physical): 512B/512B Partition Table: gpt Number Start End Size File system Name Flags 1 34s 5720768606s 5720768573s lvm Edit 1 Using the cfq IO scheduler (default for CentOS 5.6): # cat /sys/block/sd{a,b}/queue/scheduler noop anticipatory deadline [cfq] noop anticipatory deadline [cfq] Chunk size is the same as strip size, right? If so, then 64kB: # /opt/MegaCli -LDInfo -Lall -aALL -NoLog Adapter #0 Number of Virtual Disks: 2 Virtual Disk: 0 (target id: 0) Name:os RAID Level: Primary-6, Secondary-0, RAID Level Qualifier-3 Size:65535MB State: Optimal Stripe Size: 64kB Number Of Drives:7 Span Depth:1 Default Cache Policy: WriteBack, ReadAdaptive, Direct, No Write Cache if Bad BBU Current Cache Policy: WriteThrough, ReadAdaptive, Direct, No Write Cache if Bad BBU Access Policy: Read/Write Disk Cache Policy: Disk's Default Number of Spans: 1 Span: 0 - Number of PDs: 7 ... physical disk info removed for brevity ... Virtual Disk: 1 (target id: 1) Name:share RAID Level: Primary-6, Secondary-0, RAID Level Qualifier-3 Size:2793344MB State: Optimal Stripe Size: 64kB Number Of Drives:7 Span Depth:1 Default Cache Policy: WriteBack, ReadAdaptive, Direct, No Write Cache if Bad BBU Current Cache Policy: WriteThrough, ReadAdaptive, Direct, No Write Cache if Bad BBU Access Policy: Read/Write Disk Cache Policy: Disk's Default Number of Spans: 1 Span: 0 - Number of PDs: 7 If it's not obvious, virtual disk 0 corresponds to /dev/sda, for the OS; virtual disk 1 is /dev/sdb (the exported home directory tree).

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  • SQL Server 2008 Web edition in a hosting plan?

    - by Simon
    Do any hosting companies offer SQL Server 2008 Web edition in a hosting plan. GoDaddy for instance offers Standard/Enterprise editions which raise the price by $200 or so a month. I've tried a few hosting companies and can't find the web edition available. Why not? The web edition is supposed to be only $15/month - but I was hoping to be able to get this pricing through a dedicated server and not have to go off and separately get the licensing. I don't even know if its possible to buy just one copy!?

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  • Using IF in T-SQL weakens or breaks execution plan caching?

    - by AnthonyWJones
    It has been suggest to me that the use of IF statements in t-SQL batches is detrimental to performance. I'm trying to find some confirmation of this assertion. I'm using SQL Server 2005 and 2008. The assertion is that with the following batch:- IF @parameter = 0 BEGIN SELECT ... something END ELSE BEGIN SELECT ... something else END SQL Server cannot re-use the execution plan generated because the next execution may need a different branch. This implies that SQL Server will eliminate one branch entirely from execution plan on the basis that for the current execution it can already determine which branch is needed. Is this really true? In addition what happens in this case:- IF EXISTS (SELECT ....) BEGIN SELECT ... something END ELSE BEGIN SELECT ... something else END where it's not possible to determine in advance which branch will be executed?

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  • Coherence - How to develop a custom push replication publisher

    - by cosmin.tudor(at)oracle.com
    CoherencePushReplicationDB.zipIn the example bellow I'm describing a way of developing a custom push replication publisher that publishes data to a database via JDBC. This example can be easily changed to publish data to other receivers (JMS,...) by performing changes to step 2 and small changes to step 3, steps that are presented bellow. I've used Eclipse as the development tool. To develop a custom push replication publishers we will need to go through 6 steps: Step 1: Create a custom publisher scheme class Step 2: Create a custom publisher class that should define what the publisher is doing. Step 3: Create a class data is performing the actions (publish to JMS, DB, etc ) for the custom publisher. Step 4: Register the new publisher against a ContentHandler. Step 5: Add the new custom publisher in the cache configuration file. Step 6: Add the custom publisher scheme class to the POF configuration file. All these steps are detailed bellow. The coherence project is attached and conclusions are presented at the end. Step 1: In the Coherence Eclipse project create a class called CustomPublisherScheme that should implement com.oracle.coherence.patterns.pushreplication.publishers.AbstractPublisherScheme. In this class define the elements of the custom-publisher-scheme element. For instance for a CustomPublisherScheme that looks like that: <sync:publisher> <sync:publisher-name>Active2-JDBC-Publisher</sync:publisher-name> <sync:publisher-scheme> <sync:custom-publisher-scheme> <sync:jdbc-string>jdbc:oracle:thin:@machine-name:1521:XE</sync:jdbc-string> <sync:username>hr</sync:username> <sync:password>hr</sync:password> </sync:custom-publisher-scheme> </sync:publisher-scheme> </sync:publisher> the code is: package com.oracle.coherence; import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; import com.oracle.coherence.patterns.pushreplication.Publisher; import com.oracle.coherence.configuration.Configurable; import com.oracle.coherence.configuration.Mandatory; import com.oracle.coherence.configuration.Property; import com.oracle.coherence.configuration.parameters.ParameterScope; import com.oracle.coherence.environment.Environment; import com.tangosol.io.pof.PofReader; import com.tangosol.io.pof.PofWriter; import com.tangosol.util.ExternalizableHelper; @Configurable public class CustomPublisherScheme extends com.oracle.coherence.patterns.pushreplication.publishers.AbstractPublisherScheme { /** * */ private static final long serialVersionUID = 1L; private String jdbcString; private String username; private String password; public String getJdbcString() { return this.jdbcString; } @Property("jdbc-string") @Mandatory public void setJdbcString(String jdbcString) { this.jdbcString = jdbcString; } public String getUsername() { return username; } @Property("username") @Mandatory public void setUsername(String username) { this.username = username; } public String getPassword() { return password; } @Property("password") @Mandatory public void setPassword(String password) { this.password = password; } public Publisher realize(Environment environment, ClassLoader classLoader, ParameterScope parameterScope) { return new CustomPublisher(getJdbcString(), getUsername(), getPassword()); } public void readExternal(DataInput in) throws IOException { super.readExternal(in); this.jdbcString = ExternalizableHelper.readSafeUTF(in); this.username = ExternalizableHelper.readSafeUTF(in); this.password = ExternalizableHelper.readSafeUTF(in); } public void writeExternal(DataOutput out) throws IOException { super.writeExternal(out); ExternalizableHelper.writeSafeUTF(out, this.jdbcString); ExternalizableHelper.writeSafeUTF(out, this.username); ExternalizableHelper.writeSafeUTF(out, this.password); } public void readExternal(PofReader reader) throws IOException { super.readExternal(reader); this.jdbcString = reader.readString(100); this.username = reader.readString(101); this.password = reader.readString(102); } public void writeExternal(PofWriter writer) throws IOException { super.writeExternal(writer); writer.writeString(100, this.jdbcString); writer.writeString(101, this.username); writer.writeString(102, this.password); } } Step 2: Define what the CustomPublisher should basically do by creating a new java class called CustomPublisher that implements com.oracle.coherence.patterns.pushreplication.Publisher package com.oracle.coherence; import com.oracle.coherence.patterns.pushreplication.EntryOperation; import com.oracle.coherence.patterns.pushreplication.Publisher; import com.oracle.coherence.patterns.pushreplication.exceptions.PublisherNotReadyException; import java.io.BufferedWriter; import java.util.Iterator; public class CustomPublisher implements Publisher { private String jdbcString; private String username; private String password; private transient BufferedWriter bufferedWriter; public CustomPublisher() { } public CustomPublisher(String jdbcString, String username, String password) { this.jdbcString = jdbcString; this.username = username; this.password = password; this.bufferedWriter = null; } public String getJdbcString() { return this.jdbcString; } public String getUsername() { return username; } public String getPassword() { return password; } public void publishBatch(String cacheName, String publisherName, Iterator<EntryOperation> entryOperations) { DatabasePersistence databasePersistence = new DatabasePersistence( jdbcString, username, password); while (entryOperations.hasNext()) { EntryOperation entryOperation = (EntryOperation) entryOperations .next(); databasePersistence.databasePersist(entryOperation); } } public void start(String cacheName, String publisherName) throws PublisherNotReadyException { System.err .printf("Started: Custom JDBC Publisher for Cache %s with Publisher %s\n", new Object[] { cacheName, publisherName }); } public void stop(String cacheName, String publisherName) { System.err .printf("Stopped: Custom JDBC Publisher for Cache %s with Publisher %s\n", new Object[] { cacheName, publisherName }); } } In the publishBatch method from above we inform the publisher that he is supposed to persist data to a database: DatabasePersistence databasePersistence = new DatabasePersistence( jdbcString, username, password); while (entryOperations.hasNext()) { EntryOperation entryOperation = (EntryOperation) entryOperations .next(); databasePersistence.databasePersist(entryOperation); } Step 3: The class that deals with the persistence is a very basic one that uses JDBC to perform inserts/updates against a database. package com.oracle.coherence; import com.oracle.coherence.patterns.pushreplication.EntryOperation; import java.sql.*; import java.text.SimpleDateFormat; import com.oracle.coherence.Order; public class DatabasePersistence { public static String INSERT_OPERATION = "INSERT"; public static String UPDATE_OPERATION = "UPDATE"; public Connection dbConnection; public DatabasePersistence(String jdbcString, String username, String password) { this.dbConnection = createConnection(jdbcString, username, password); } public Connection createConnection(String jdbcString, String username, String password) { Connection connection = null; System.err.println("Connecting to: " + jdbcString + " Username: " + username + " Password: " + password); try { // Load the JDBC driver String driverName = "oracle.jdbc.driver.OracleDriver"; Class.forName(driverName); // Create a connection to the database connection = DriverManager.getConnection(jdbcString, username, password); System.err.println("Connected to:" + jdbcString + " Username: " + username + " Password: " + password); } catch (ClassNotFoundException e) { e.printStackTrace(); } // driver catch (SQLException e) { e.printStackTrace(); } return connection; } public void databasePersist(EntryOperation entryOperation) { if (entryOperation.getOperation().toString() .equalsIgnoreCase(INSERT_OPERATION)) { insert(((Order) entryOperation.getPublishableEntry().getValue())); } else if (entryOperation.getOperation().toString() .equalsIgnoreCase(UPDATE_OPERATION)) { update(((Order) entryOperation.getPublishableEntry().getValue())); } } public void update(Order order) { String update = "UPDATE Orders set QUANTITY= '" + order.getQuantity() + "', AMOUNT='" + order.getAmount() + "', ORD_DATE= '" + (new SimpleDateFormat("dd-MMM-yyyy")).format(order .getOrdDate()) + "' WHERE SYMBOL='" + order.getSymbol() + "'"; System.err.println("UPDATE = " + update); try { Statement stmt = getDbConnection().createStatement(); stmt.execute(update); stmt.close(); } catch (SQLException ex) { System.err.println("SQLException: " + ex.getMessage()); } } public void insert(Order order) { String insert = "insert into Orders values('" + order.getSymbol() + "'," + order.getQuantity() + "," + order.getAmount() + ",'" + (new SimpleDateFormat("dd-MMM-yyyy")).format(order .getOrdDate()) + "')"; System.err.println("INSERT = " + insert); try { Statement stmt = getDbConnection().createStatement(); stmt.execute(insert); stmt.close(); } catch (SQLException ex) { System.err.println("SQLException: " + ex.getMessage()); } } public Connection getDbConnection() { return dbConnection; } public void setDbConnection(Connection dbConnection) { this.dbConnection = dbConnection; } } Step 4: Now we need to register our publisher against a ContentHandler. In order to achieve that we need to create in our eclipse project a new class called CustomPushReplicationNamespaceContentHandler that should extend the com.oracle.coherence.patterns.pushreplication.configuration.PushReplicationNamespaceContentHandler. In the constructor of the new class we define a new handler for our custom publisher. package com.oracle.coherence; import com.oracle.coherence.configuration.Configurator; import com.oracle.coherence.environment.extensible.ConfigurationContext; import com.oracle.coherence.environment.extensible.ConfigurationException; import com.oracle.coherence.environment.extensible.ElementContentHandler; import com.oracle.coherence.patterns.pushreplication.PublisherScheme; import com.oracle.coherence.environment.extensible.QualifiedName; import com.oracle.coherence.patterns.pushreplication.configuration.PushReplicationNamespaceContentHandler; import com.tangosol.run.xml.XmlElement; public class CustomPushReplicationNamespaceContentHandler extends PushReplicationNamespaceContentHandler { public CustomPushReplicationNamespaceContentHandler() { super(); registerContentHandler("custom-publisher-scheme", new ElementContentHandler() { public Object onElement(ConfigurationContext context, QualifiedName qualifiedName, XmlElement xmlElement) throws ConfigurationException { PublisherScheme publisherScheme = new CustomPublisherScheme(); Configurator.configure(publisherScheme, context, qualifiedName, xmlElement); return publisherScheme; } }); } } Step 5: Now we should define our CustomPublisher in the cache configuration file according to the following documentation. <cache-config xmlns:sync="class:com.oracle.coherence.CustomPushReplicationNamespaceContentHandler" xmlns:cr="class:com.oracle.coherence.environment.extensible.namespaces.InstanceNamespaceContentHandler"> <caching-schemes> <sync:provider pof-enabled="false"> <sync:coherence-provider /> </sync:provider> <caching-scheme-mapping> <cache-mapping> <cache-name>publishing-cache</cache-name> <scheme-name>distributed-scheme-with-publishing-cachestore</scheme-name> <autostart>true</autostart> <sync:publisher> <sync:publisher-name>Active2 Publisher</sync:publisher-name> <sync:publisher-scheme> <sync:remote-cluster-publisher-scheme> <sync:remote-invocation-service-name>remote-site1</sync:remote-invocation-service-name> <sync:remote-publisher-scheme> <sync:local-cache-publisher-scheme> <sync:target-cache-name>publishing-cache</sync:target-cache-name> </sync:local-cache-publisher-scheme> </sync:remote-publisher-scheme> <sync:autostart>true</sync:autostart> </sync:remote-cluster-publisher-scheme> </sync:publisher-scheme> </sync:publisher> <sync:publisher> <sync:publisher-name>Active2-Output-Publisher</sync:publisher-name> <sync:publisher-scheme> <sync:stderr-publisher-scheme> <sync:autostart>true</sync:autostart> <sync:publish-original-value>true</sync:publish-original-value> </sync:stderr-publisher-scheme> </sync:publisher-scheme> </sync:publisher> <sync:publisher> <sync:publisher-name>Active2-JDBC-Publisher</sync:publisher-name> <sync:publisher-scheme> <sync:custom-publisher-scheme> <sync:jdbc-string>jdbc:oracle:thin:@machine_name:1521:XE</sync:jdbc-string> <sync:username>hr</sync:username> <sync:password>hr</sync:password> </sync:custom-publisher-scheme> </sync:publisher-scheme> </sync:publisher> </cache-mapping> </caching-scheme-mapping> <!-- The following scheme is required for each remote-site when using a RemoteInvocationPublisher --> <remote-invocation-scheme> <service-name>remote-site1</service-name> <initiator-config> <tcp-initiator> <remote-addresses> <socket-address> <address>localhost</address> <port>20001</port> </socket-address> </remote-addresses> <connect-timeout>2s</connect-timeout> </tcp-initiator> <outgoing-message-handler> <request-timeout>5s</request-timeout> </outgoing-message-handler> </initiator-config> </remote-invocation-scheme> <!-- END: com.oracle.coherence.patterns.pushreplication --> <proxy-scheme> <service-name>ExtendTcpProxyService</service-name> <acceptor-config> <tcp-acceptor> <local-address> <address>localhost</address> <port>20002</port> </local-address> </tcp-acceptor> </acceptor-config> <autostart>true</autostart> </proxy-scheme> </caching-schemes> </cache-config> As you can see in the red-marked text from above I've:       - set new Namespace Content Handler       - define the new custom publisher that should work together with other publishers like: stderr and remote publishers in our case. Step 6: Add the com.oracle.coherence.CustomPublisherScheme to your custom-pof-config file: <pof-config> <user-type-list> <!-- Built in types --> <include>coherence-pof-config.xml</include> <include>coherence-common-pof-config.xml</include> <include>coherence-messagingpattern-pof-config.xml</include> <include>coherence-pushreplicationpattern-pof-config.xml</include> <!-- Application types --> <user-type> <type-id>1901</type-id> <class-name>com.oracle.coherence.Order</class-name> <serializer> <class-name>com.oracle.coherence.OrderSerializer</class-name> </serializer> </user-type> <user-type> <type-id>1902</type-id> <class-name>com.oracle.coherence.CustomPublisherScheme</class-name> </user-type> </user-type-list> </pof-config> CONCLUSIONSThis approach allows for publishers to publish data to almost any other receiver (database, JMS, MQ, ...). The only thing that needs to be changed is the DatabasePersistence.java class that should be adapted to the chosen receiver. Only minor changes are needed for the rest of the code (to publishBatch method from CustomPublisher class).

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  • Integrating Coherence & Java EE 6 Applications using ActiveCache

    - by Ricardo Ferreira
    OK, so you are a developer and are starting a new Java EE 6 application using the most wonderful features of the Java EE platform like Enterprise JavaBeans, JavaServer Faces, CDI, JPA e another cool stuff technologies. And your architecture need to hold piece of data into distributed caches to improve application's performance, scalability and reliability? If this is your current facing scenario, maybe you should look closely in the solutions provided by Oracle WebLogic Server. Oracle had integrated WebLogic Server and its champion data caching technology called Oracle Coherence. This seamless integration between this two products provides a comprehensive environment to develop applications without the complexity of extra Java code to manage cache as a dependency, since Oracle provides an DI ("Dependency Injection") mechanism for Coherence, the same DI mechanism available in standard Java EE applications. This feature is called ActiveCache. In this article, I will show you how to configure ActiveCache in WebLogic and at your Java EE application. Configuring WebLogic to manage Coherence Before you start changing your application to use Coherence, you need to configure your Coherence distributed cache. The good news is, you can manage all this stuff without writing a single line of code of XML or even Java. This configuration can be done entirely in the WebLogic administration console. The first thing to do is the setup of a Coherence cluster. A Coherence cluster is a set of Coherence JVMs configured to form one single view of the cache. This means that you can insert or remove members of the cluster without the client application (the application that generates or consume data from the cache) knows about the changes. This concept allows your solution to scale-out without changing the application server JVMs. You can growth your application only in the data grid layer. To start the configuration, you need to configure an machine that points to the server in which you want to execute the Coherence JVMs. WebLogic Server allows you to do this very easily using the Administration Console. In this example, I will call the machine as "coherence-server". Remember that in order to the machine concept works, you need to ensure that the NodeManager are being executed in the target server that the machine points to. The NodeManager executable can be found in <WLS_HOME>/server/bin/startNodeManager.sh. The next thing to do is to configure a Coherence cluster. In the WebLogic administration console, go to Environment > Coherence Clusters and click in "New". Call this Coherence cluster of "my-coherence-cluster". Click in next. Specify a valid cluster address and port. The Coherence members will communicate with each other through this address and port. Our Coherence cluster are now configured. Now it is time to configure the Coherence members and add them to this cluster. In the WebLogic administration console, go to Environment > Coherence Servers and click in "New". In the field "Name" set to "coh-server-1". In the field "Machine", associate this Coherence server to the machine "coherence-server". In the field "Cluster", associate this Coherence server to the cluster named "my-coherence-cluster". Click in "Finish". Start the Coherence server using the "Control" tab of WebLogic administration console. This will instruct WebLogic to start a new JVM of Coherence in the target machine that should join the pre-defined Coherence cluster. Configuring your Java EE Application to Access Coherence Now lets pass to the funny part of the configuration. The first thing to do is to inform your Java EE application which Coherence cluster to join. Oracle had updated WebLogic server deployment descriptors so you will not have to change your code or the containers deployment descriptors like application.xml, ejb-jar.xml or web.xml. In this example, I will show you how to enable DI ("Dependency Injection") to a Coherence cache from a Servlet 3.0 component. In the WEB-INF/weblogic.xml deployment descriptor, put the following metadata information: <?xml version="1.0" encoding="UTF-8"?> <wls:weblogic-web-app xmlns:wls="http://xmlns.oracle.com/weblogic/weblogic-web-app" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://java.sun.com/xml/ns/javaee http://java.sun.com/xml/ns/javaee/web-app_2_5.xsd http://xmlns.oracle.com/weblogic/weblogic-web-app http://xmlns.oracle.com/weblogic/weblogic-web-app/1.4/weblogic-web-app.xsd"> <wls:context-root>myWebApp</wls:context-root> <wls:coherence-cluster-ref> <wls:coherence-cluster-name>my-coherence-cluster</wls:coherence-cluster-name> </wls:coherence-cluster-ref> </wls:weblogic-web-app> As you can see, using the "coherence-cluster-name" tag, we are informing our Java EE application that it should join the "my-coherence-cluster" when it loads in the web container. Without this information, the application will not be able to access the predefined Coherence cluster. It will form its own Coherence cluster without any members. So never forget to put this information. Now put the coherence.jar and active-cache-1.0.jar dependencies at your WEB-INF/lib application classpath. You need to deploy this dependencies so ActiveCache can automatically take care of the Coherence cluster join phase. This dependencies can be found in the following locations: - <WLS_HOME>/common/deployable-libraries/active-cache-1.0.jar - <COHERENCE_HOME>/lib/coherence.jar Finally, you need to write down the access code to the Coherence cache at your Servlet. In the following example, we have a Servlet 3.0 component that access a Coherence cache named "transactions" and prints into the browser output the content (the ammount property) of one specific transaction. package com.oracle.coherence.demo.activecache; import java.io.IOException; import javax.annotation.Resource; import javax.servlet.ServletException; import javax.servlet.annotation.WebServlet; import javax.servlet.http.HttpServlet; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import com.tangosol.net.NamedCache; @WebServlet("/demo/specificTransaction") public class TransactionServletExample extends HttpServlet { @Resource(mappedName = "transactions") NamedCache transactions; protected void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { int transId = Integer.parseInt(request.getParameter("transId")); Transaction transaction = (Transaction) transactions.get(transId); response.getWriter().println("<center>" + transaction.getAmmount() + "</center>"); } } Thats it! No more configuration is necessary and you have all set to start producing and getting data to/from Coherence. As you can see in the example code, the Coherence cache are treated as a normal dependency in the Java EE container. The magic happens behind the scenes when the ActiveCache allows your application to join the defined Coherence cluster. The most interesting thing about this approach is, no matter which type of Coherence cache your are using (Distributed, Partitioned, Replicated, WAN-Remote) for the client application, it is just a simple attribute member of com.tangosol.net.NamedCache type. And its all managed by the Java EE container as an dependency. This means that if you inject the same dependency (the Coherence cache named "transactions") in another Java EE component (JSF managed-bean, Stateless EJB) the cache will be the same. Cool isn't it? Thanks to the CDI technology, we can extend the same support for non-Java EE standards components like simple POJOs. This means that you are not forced to only use Servlets, EJBs or JSF in order to inject Coherence caches. You can do the same approach for regular POJOs created for you and managed by lightweight containers like Spring or Seam.

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  • Can I configure a DNS cache not to forward AAAA queries?

    - by itsadok
    I'm setting up an internal DNS cache because my firewall is having trouble handling all the sessions created by DNS requests. I tried using bind9, dnsmasq and DJB dnscache, they all help reduce the number of requests leaving my network, but there are still a lot of request being made. Looking at the log files, and tcpdump and dnstop outputs, it seems that requests that return SERVFAIL do not get cached at all. And a lot of those failed requests are AAAA requests, which is a shame, because I do not have ipv6 enabled on any server. I've looked at several ways to help the situation, and I think if I could somehow prevent AAAA record requests from being forwarded by the DNS cache, it would reduce the number of requests significantly. The closest thing I found was the filter-aaaa-on-v4 option in BIND9. However, this only removes the record from the server response, and does not prevent it from forwarding it. Any help would be appreciated.

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  • How to disable proxy cache when query string is empty?

    - by chx
    With nginx I have server { listen 1.2.3.4:80 proxy_cache_valid 200 302 5m; location / { try_files $uri @upstream; root $root; } } When I go http://example.com/foobar it generates a redirect to http://example.com/foobar?filter_distance=50&... which is visitor dependent so I would like to not cache this redirect. I need to bypass cache when the query string is empty. I am a bit lost because location /foobar will match both.

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  • Does Intel Smart Response provide any statistics on the cache usage?

    - by Tom Seddon
    I've set up my Z68-based Core i7 PC with a 60GB SSD dedicated as a Smart Response cache drive. Is there any way I can get any statistics out of it? It would be nice to have some information on how much cache space is actually being used, maybe how much of it was actually accessed recently, and how many reads in general are coming from the SSD rather than from the mechanical disk. These statistics might help to quickly provide some evidence for or against the use of Smart Response, without my having to reinstall Windows on the SSD (etc.) to find out. The Windows ReadyBoost feature has some performance counters you can access via the Windows 7 perfmon tool, for example, which is the kind of thing I'm hoping is somehow available. Smart Response provides no perfmon counters, though, and the Intel Rapid Storage Utility tells you pretty much nothing except that Smart Response is switched on.

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  • How Can I Edit Google Chrome's 'History Provider Cache' File?

    - by dissolved
    I'm interested in editing (not completely deleting) contents of some of Google Chrome's cache files. In particular, the 'History Provider Cache' (found in ~/Library/Application Support/Google/Chrome/Default on Mac). As this other question suggests, it appears to simply be a SQLite file. Unfortunately, when I try to open it using a SQLite browser (MesaSQLite) I'm asked for an encryption key. So, I'd welcome any suggestions on how to either (1) determine the encryption key, or (2) an alternate way to edit this file. The end goal is to be able to remove specific annoying suggestions in the Omnibar. I've read countless other techniques, but none seem to remove suggestions that have the clock icon next to it. Some say deleting this file entirely will do the trick (and I imagine it will), but I don't wish to trash my entire browsing history. I find most of the suggestions to be useful and helpful, and I'd like to preserve that.

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  • How to Cache image when src is some action which returns image?

    - by Bipul
    There are lots of questions about how to force the browser to cache or not to cache any image. But, I am facing slightly different situation. In several places of my web page, I am using following code for the images. <img title="<%= Html.Encode(Model.title)%>" src="<%= Url.Action(MVC.FrontEnd.Actions.RetrieveImage(Model.SystemId))%>"/> So, in the generated HTML it is like <img title="blahblah" src="http://xyz.com/FrontEnd/Actions/RetrieveImage?imageId=X"> Where X is some integer. I have seen that though the browser (IE or Mozilla) caches images by default, it is not caching images generated by above method. Is there any way I can tell browser to cache images of above type? Thanks in advance.

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  • Does the `Expires` HTTP header needs to be consistent across multiple cold-cache requests?

    - by chakrit
    I'm implementing a custom web server of a kind. And am looking into adding an Expires header support. However, I'm a little unsure of how exactly to implement it. If multiple cold-cache requests are being made to the same unchanged resource on the server and the server returned different Expires header (say it uses relative time to calculate the exact value of the Expires date e.g. +6 hours from the request time), does that invalidate the cache on all the proxy servers in-between as well? Or is it impossible to happen (per the spec)? Does the Expires HTTP header needs to be consistent across multiple cold-cache requests?

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  • Why does Cache.Add return an object that represents the cached item?

    - by Pure.Krome
    From MSDN about the differences between Adding or Inserting an item the ASP.NET Cache: Note: The Add and Insert methods have the same signature, but there are subtle differences between them. First, calling the Add method returns an object that represents the cached item, while calling Insert does not. Second, their behavior is different if you call these methods and add an item to the Cache that is already stored there. The Insert method replaces the item, while the Add method fails. [emphasis mine] The second part is easy. No question about that. But with the first part, why would it want to return an object that represents the cached item? If I'm trying to Add an item to the cache, I already have/know what that item is? I don't get it. What is the reasoning behind this?

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  • open flash chart rails x-axis issue

    - by Jimmy
    Hey guys, I am using open flash chart 2 in my rails application. Everything is looking smooth except for the range on my x axis. I am creating a line to represent cell phone plan cost over a specific amount of usage and I'm generate 8 values, 1-5 are below the allowed usage while 6-8 are demonstrations of the cost for usage over the limit. The problem I'm encountering is how to set the range of the X axis in ruby on rails to something specific to the data. Right now the values being displayed are the indexes of the array that I'm giving. When I try to hand a hash to the values the chart doesn't even load at all. So basically I need help getting a way to set the data for my line properly so that it displays correctly, right now it is treating every value as if it represents the x value of the index of the array. Here is a screen shot which may be a better description than what I am saying: http://i163.photobucket.com/albums/t286/Xeno56/Screenshot.png Note that those values are correct just the range on the x-axis is incorrect, it should be something like 100, 200, 300, 400, 500, 600, 700 Code: y = YAxis.new y.set_range(0,100, 20) x_legend = XLegend.new("Usage") x_legend.set_style('{font-size: 20px; color: #778877}') y_legend = YLegend.new("Cost") y_legend.set_style('{font-size: 20px; color: #770077}') chart =OpenFlashChart.new chart.set_x_legend(x_legend) chart.set_y_legend(y_legend) chart.y_axis = y line = Line.new line.text = plan.name line.width = 2 line.color = '#006633' line.dot_size = 2 line.values = generate_data(plan) chart.add_element(line) def generate_data(plan) values = [] #generate below threshold numbers 5.times do |x| usage = plan.usage / 5 * x cost = plan.cost * 10 values << cost end #generate above threshold numbers 3.times do |x| usage = plan.usage + ((plan.usage / 5) * x) cost = plan.cost + (usage * plan.overage) values << cost end return values end

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  • Ubuntu 13.10 Symfony installation date time issue

    - by Sambo
    I'm installing Symfony on my Ubuntu system, everything was going fine until the very last moment when I was met with a screen that said: ContextErrorException: Warning: date_default_timezone_get(): It is not safe to rely on the system's timezone settings. You are *required* to use the date.timezone setting or the date_default_timezone_set() function. In case you used any of those methods and you are still getting this warning, you most likely misspelled the timezone identifier. We selected the timezone 'UTC' for now, but please set date.timezone to select your timezone. in /var/www/symfony-test/app/cache/dev/classes.php line 5107 in /var/www/symfony-test/app/cache/dev/classes.php line 5107 at ErrorHandler->handle('2', 'date_default_timezone_get(): It is not safe to rely on the system's timezone settings. You are *required* to use the date.timezone setting or the date_default_timezone_set() function. In case you used any of those methods and you are still getting this warning, you most likely misspelled the timezone identifier. We selected the timezone 'UTC' for now, but please set date.timezone to select your timezone.', '/var/www/symfony-test/app/cache/dev/classes.php', '5107', array('level' => '100', 'message' => 'Notified event "kernel.exception" to listener "Symfony\Component\HttpKernel\EventListener\ProfilerListener::onKernelException".', 'context' => array())) at date_default_timezone_get() in /var/www/symfony-test/app/cache/dev/classes.php line 5107 at Logger->addRecord('100', 'Notified event "kernel.exception" to listener "Symfony\Component\HttpKernel\EventListener\ProfilerListener::onKernelException".', array()) in /var/www/symfony-test/app/cache/dev/classes.php line 5193 at Logger->debug('Notified event "kernel.exception" to listener "Symfony\Component\HttpKernel\EventListener\ProfilerListener::onKernelException".') in /var/www/symfony-test/vendor/symfony/symfony/src/Symfony/Component/HttpKernel/Debug/TraceableEventDispatcher.php line 246 at TraceableEventDispatcher->preListenerCall('kernel.exception', array(object(ProfilerListener), 'onKernelException')) in /var/www/symfony-test/vendor/symfony/symfony/src/Symfony/Component/HttpKernel/Debug/TraceableEventDispatcher.php line 448 at TraceableEventDispatcher->Symfony\Component\HttpKernel\Debug\{closure}(object(GetResponseForExceptionEvent)) at call_user_func(object(Closure), object(GetResponseForExceptionEvent)) in /var/www/symfony-test/app/cache/dev/classes.php line 1667 at EventDispatcher->doDispatch(array(object(Closure), object(Closure)), 'kernel.exception', object(GetResponseForExceptionEvent)) in /var/www/symfony-test/app/cache/dev/classes.php line 1600 at EventDispatcher->dispatch('kernel.exception', object(GetResponseForExceptionEvent)) in /var/www/symfony-test/app/cache/dev/classes.php line 1764 at ContainerAwareEventDispatcher->dispatch('kernel.exception', object(GetResponseForExceptionEvent)) in /var/www/symfony-test/vendor/symfony/symfony/src/Symfony/Component/HttpKernel/Debug/TraceableEventDispatcher.php line 139 at TraceableEventDispatcher->dispatch('kernel.exception', object(GetResponseForExceptionEvent)) in /var/www/symfony-test/app/bootstrap.php.cache line 2870 at HttpKernel->handleException(object(ContextErrorException), object(Request), '1') in /var/www/symfony-test/app/bootstrap.php.cache line 2823 at HttpKernel->handle(object(Request), '1', true) in /var/www/symfony-test/app/bootstrap.php.cache line 2947 at ContainerAwareHttpKernel->handle(object(Request), '1', true) in /var/www/symfony-test/app/bootstrap.php.cache line 2249 at Kernel->handle(object(Request)) in /var/www/symfony-test/web/app_dev.php line 28 After many hours of trying ideas in other threads, editing php.ini and classes.php to something that might work, I have gotten absolutely nowhere! Has anyone else had this problem

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  • C#: Is it possible to use expressions or functions as keys in a dictionary?

    - by Svish
    Would it work to use Expression<Func<T>> or Func<T> as keys in a dictionary? For example to cache the result of heavy calculations. For example, changing my very basic cache from a different question of mine a bit: public static class Cache<T> { // Alternatively using Expression<Func<T>> instead private static Dictionary<Func<T>, T> cache; static Cache() { cache = new Dictionary<Func<T>, T>(); } public static T GetResult(Func<T> f) { if (cache.ContainsKey(f)) return cache[f]; return cache[f] = f(); } } Would this even work? Edit: After a quick test, it seems like it actually works. But I discovered that it could probably be more generic, since it would now be one cache per return type... not sure how to change it so that wouldn't happen though... hmm Edit 2: Noo, wait... it actually doesn't. Well, for regular methods it does. But not for lambdas. They get various random method names even if they look the same. Oh well c",)

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