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Introduction to server suspension caused by application deadlock

Document directory Problem description Problem troubleshooting Problem description An inadvertent deadlock in the application code can cause a server to hang. for example, a situation in which thread1 is waiting for resource1 and is holding a lock on resource2, while thread2 needs resource2 and is holding the lock on resource1. neither thread can progress.Problem troubleshooting This application deadlock pattern shocould be used only after doing all the steps in{Pagetracker. _ trackpageview

Convert the query result of Python sqlalchemy to JSON format

('mysql: // root: @ 172.30.36.7/ivcs_portal? Charset = utf8') base. metadata. create_all (ENGINE) Session = sessionmaker (autocommit = false, autoflush = false, bind = engine) return sessionfrom sqlalchemy. ext. declarative import declarativemetaclass alchemyencoder (JSON. jsonencoder): def default (self, OBJ): If isinstance (obj. _ class __, declarativemeta): # An sqlalchemy class fields ={} for field in [X for X in Dir (OBJ) if not X. startswith ('_') and X! = 'Metadata']: Data = obj. _ getat

Data Structure in Java

element * The "Current Position". elements are randomly selected from * Portion of the list that runs from the first element to the current * Position, inclusive. * * This method runs in linear time. If the specified list does not * Implement the {@ link randomaccess} interface and is large, this * Implementation dumps the specified list into an array before shuffling * It, and dumps the sh

Android memory monitoring tool ddms-> heap.

, click "Dump hprof" to automatically perform the conversion (using hprof-Conv) at the same time, the converted hprof file will be opened in eclipse (it is actually opened with Mat ). Use mat to analyze heap dumps Start mat and load the hprof file we just generated. MAT is a powerful tool that describes all its features beyond the scope of this article, so I just want to demonstrate a method you can use to detect leaks: histogram view. It displays a l

Python Web development framework-Django (2), python-django

(json.dumps(result)) Method 2: request parameter //. Ajax same as the url: "/search/searchLog /? Offset = "+ tmpOffset +" count = "+ pageCount // obtain parameters in the background. View function def searchLog (request): offset = request. GET. get ('offset '); count = request. GET. get ('Count'); // something POST Usually post is used to submit forms or upload data. // Front-end jslogConf ={}; // something $. ajax ({type: "POST", url: "/setting/updschema/", data: JSON. stringify (logConf), ype

Python-common modules

') print (hash_md5.hexdigest ()) Hash = hashlib. sha512 () hash. update ('admin') print hash. hexdigest () # Although the above encryption algorithm is still very powerful, it has a defect, that is, it can be reversed by Credential stuffing. Therefore, it is necessary to add a custom key to the encryption algorithm and then encrypt it. Add custom key for encryption import hashlibhash = hashlib. md5 ('898oafs09f') hash. update ('admin') print hash. hexdigest () ultra-core encryption-continue to e

Python Learning (DAY5)

#zip_obj=zipfile. ZipFile (R "C:\day4_copy.zip", "a") # ' R ' means opening an existing read-only zip file, ' W ' means emptying and opening a write-only zip file, or creating a write-only zip file; ' A ' means opening a zip file and adding content. #zip_obj.write ("Test_copy") #将test_copy文件写进压缩文件 #zip_obj.close () #z=zipfile. ZipFile ("C:\day5_copy.zip", "R") #解压zip文档中的所有文件到当前目录 #z.extractall () #z.close () #import tarfile# all the files under the workspace, package a tar file, and provide a wa

Serialization of the Python base module

an object.How do---serialize?Two modules are available in Python for serialization. Are pickle and JSON, respectively.PicklePickle is a unique serialization module in Python, so-called exclusive, which means that it cannot interact with the serialization of other programming languages because pickle converts the data object to bytes>>> Import pickle>>> d=[1,2,3,4]>>> pickle.dumps (d) B ' \x80\x03]q\x00 (k\x01k\x02k\x03k\ x04e. ' >>> type (Pickle.dumps (d)) The Pickle module provides four functi

Python Development Module Basics: Serialization Module Json,pickle,shelve

as a valid expression to evaluate and return the results of the calculation.but! Powerful functions are at the cost. Security is one of its biggest drawbacks.Imagine that if we read from a file is not a data structure, but a "delete the file" similar to the destructive statement, then the consequences are not set to imagine.The use of eval is a risk.Therefore, we do not recommend using the Eval method for deserialization (converting STR to a data structure in Python)‘‘‘# Purpose of serializatio

python10-Module 2

json对数据进行序列化 # #Import JSONDIC = {' name ': ' Alex '}f = open ("Test", "W")data = Json.dumps (DIC)F.write (data) # #json. Dump (DIC,F) combines dumps and f.write () for file operation only, so it is not recommendedF.close ()JSON serialization: Turns the single quotation mark of a string into a double-citation, and turns the data (numbers, lists, dictionaries, tuples, and so on) into strings. The data above becomes a string, and other languages can use

Python3 Jason, Pickle and Cpickle

Python JSONJSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for people to read and write. The JSON data format is actually the dictionary format in Python, which can contain arrays enclosed in square brackets, which is the list in Python.In Python, there are modules--jason and pickle that specialize in the Jason format.The Jason module offers four methods: dumps, dump, loads, loadThe Pickle module also offers fou

Json&pickle Module of Python basics

JSON Pickle Modules JSON modules: Only for simple data types, is a cross-platform module.Let's say we have a piece of data that defines this:= { ‘name‘:‘alex‘, ‘age‘:22}For this simple data type, we can directly use theJsonFor serialization and deserialization of data: Serialization dumps :import=open("test.text","wb")f.write(json.dumps(info))f.close()Similarly, we can use dump methods instead of

Use of the Python pickle module

Tag: The support method uses the title floating point Targe sci xPL andTwo modules for serializationJSON: Used to convert between string and Python data typesPickle: Converting between Python-specific types and Python data typesJSON offers four features: Dumps,dump,loads,loadPickle offers four functions: Dumps,dump,loads,loadWhat type of data can pickle store? All Python-supported native types: Boo

Simplehtmldom Doc API help document _php tips

API Reference Helper functions Object Str_get_html (String $content) creates a DOM object from a string. Object File_get_html (String $filename) creates a DOM object from a file or a URL. DOM Methods Properties Stringplaintext Returns the contents extracted from HTML. Voidclear () Clean up memory. Voidload (String $content) Load contents from a string. Stringsave ([string $filename]) dumps the internal DOM tree back into a string. If the $filenam

Oracle Common dump Command ____oracle

Guide: Oracle Common Dump command, record for future reference I. Memory dumps 1). Global Area ALTER session SET EVENTS ' immediate trace name Global_area level n '; 1 contains PGA 2 contains SGA 4 contains UGA 8 contains indrect memory 2). Library Cache ALTER session SET EVENTS ' immediate trace name Library_cache level n '; 1 Library Cache statistic Information 2 contains hash table histogram 3 contains object handle 4 contains object structure (Hea

Linux kernel Debugging Method __linux

compilation installation Tool Kexec-tools. Because tool Kexec-tools also relies on some other libraries, the best approach is to use the command "Yum install Kexec-tools" To download the installation from the Web and automatically resolve dependencies. 2) Compile system and dump capture kernel A separate dump capture kernel can be compiled to capture the kernel's dumps. You can also use the original system kernel as a dump to capture the kernel, in w

Sybase Database Recovery

Loading a backup to an existing database using load database can be either a database for creating a dump or not. The syntax is: Load database database name from dump device name/physical file name Load transaction database name from dump device name/physical file name Use Backup Recovery database for example: A database data and logs are stored on two separate disks, and the backup plan for the normal operation is as follows: 17:00 daily backups of the entire database, 10:00, 12:00, 14:00,

Data export for PostgreSQL database

Pg_restore to choose what to restore, or even reorder the items that need to be recovered before resuming. Archive files can also be ported across platforms.D:\Program Files\powercmd>pg_dump--helpPg_dump dumps a database into plain text files or other formats.Usage: pg_dump [options] ... [Database name]General Options:-F,--file=filename output file or directory name-F,--format=c|d|t|p output file format (custom, directory, tar, plain text)-V,--verbos

Database-Database Recovery technology

aborted by an abnormal termination.The implementation technology of recovery恢复操作的基本原理:冗余 利用存储在系统其它地方的冗余数据来重建数据库中已被破坏或不正确的那部分数据恢复机制涉及的关键问题如何建立冗余数据数据转储(backup)登录日志文件(logging) 如何利用这些冗余数据实施数据库恢复  Data dump (dump)Refers to the process by which a DBA copies an entire database to a tape or another disk, and the alternate data is called a backup copy or back-up copy.How to useThe backup copy can be re-loaded after the database has been compromisedReloading a backup copy only restores the database to

WebSphere Application Server Performance Tuning Toolkit

. High scalability. Easy-to-use interface. It also has some key features: Collect data from PMI and merge the data into the data cube. Rule-based event handling. Analyze the data through a graphical view and drill down to the detail data. See Figure 2 and Figure 3. Figure 2: Graph view Analysis Figure 3: Drill down to detail data Generate artifacts (thread dumps and heap dumps) or

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