deadlock

I get this strange deadlock when I try to synchronize two python3 scripts using 0mq ( ZeroMQ ). The scripts run fine for several thousand iterations, but sooner or later they both stop and wait for each other. I am running both scripts from different CMD-Windows on Windows 7. I cannot figure out why such a deadlock is even possible . What can go wrong here? Script A: while (1): context = zmq.Context() socket = context.socket(zmq.REP) socket.bind('tcp://127.0.0.1:10001') msg = socket.recv() # Waiting for script B to send done # ...................................................................

I am trying to embedded a jetty server in my program and it seems to hang after each thread gets to server one request. The test case code I wrote is: import javax.servlet.ServletException; import javax.servlet.http.HttpServlet; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import java.io.IOException; import java.io.PrintWriter; import java.util.Date; import java.util.concurrent.atomic.AtomicLong; import org.apache.http.HttpEntity; import org.apache.http.HttpResponse; import org.apache.http.StatusLine; import org.apache.http.client.HttpClient;

i am facing a deadlock in one of my c application(its a big code) and I was able to debug down the stage where I printed a mutex. It looks like below - {__data = {__lock = 2, __count = 0, __owner = 15805, __nusers = 1, __kind = 0, __spins = 0, __list = {__prev = 0x0, __next = 0x0} }, __size = "\002\000\000\000\000\000\000\000½=\000\000\001", '\0' <repeats 26 times>, __align = 2 } Now i could understand that __owner is thread id of thread holding this mutex, same thread ends up in deadlock for this mutex. Does anyone know meaning of rest of fields such as _ lock, _count,__spins etc which could

I have a batch in .NET that reads a lot of files and stores their content into a single MySQL InnoDB table with the following structure: `id` int(11) NOT NULL AUTO_INCREMENT, `Source` varchar(2) NOT NULL, `Period` char(1) NOT NULL, `idItem` int(11) NOT NULL, `StartDate` datetime NOT NULL, `MoreData` varchar(255) PRIMARY KEY (`id`), UNIQUE KEY `Combination` (`Source`,`Period`,`idItem`,`StartDate`), Where idItem is a foreign key Source, Period, and idItem are indices Combination is a unique index. To perform the table update, I then have a transaction with two steps: Delete all old rows that

I've got an OS X app (Yosemite, 10.10) that performs long-running jobs involving heavy use of sqlite across multiple threads. And I've hit a deadlock across 8 threads, all of which are stuck in sqlite code connecting to different database files. There is no apparent resource-related connection between them. I'm debugging it on a new Mac Pro (late 2013). Four of them are at this stack. Of those, three are operating on the same table (again, different database files); three are updating and one is querying. __psynch_mutexwait _pthread_mutex_lock unixLock sqlite3PagerSharedLock

It's been several days that I got deadlock issues on a Java application with Glassfish - EJB3 with Mysql InnoDB Config: Mysql InnoDB: Ver 14.12 Distrib 5.0.51a, for debian-linux-gnu (i486) using readline 5.2 Application server: Glassfish v2.1 Persistence with EJB3 - JPA - Hibernate To make it simple I have - a SOA system with servlet that handle subscriptions of users to services, logon, logoff, payments and registration etc... - a quartz job system (cron triggers) that handle the daily decrementation of these services, the generation of "low credit" warnings, the validation of payments etc...

I've strange deadlock graph where the victim chosen by MSSQL server 2008 isn't part of the deadlock loop. This deadlock is between select and insert . The deadlock resource is a single table where all select s want waitresource = "KEY: 6:72057594098810880 (ffffffffffff)" Question1 : Does ffffffffffff here mean they want a full range lock on whole table? Or whole key range? Or something else? We are following a rule where table will never have a row with primary key id = 0. There are few places where we do this kind of check select foo from bar where @someId = 0 OR SomeId = @someId . I also

I'm using SQL Server with pymssql, and found that a particularly complicated SELECT query would occasionally be selected as a deadlock victim. So I wrapped it in a while loop to retry the transaction if that happens, roughly as follows: while True: try: cursor.execute('SELECT .......') count_row = cursor.fetchone(); break except Exception, tec: print "Got error: %s" % (tec) time.sleep(1) cursor.execute('UPDATE .........') self.conn.commit() It seems to work - if the SELECT hits a deadlock then it will pause for a second, retry again and get the right answer. However every time that occurs the