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Browse Heap DumpYou can use VISUALVM to browse the contents of a heap dump file to quickly view the objects allocated in the heap. The heap dumps is displayed in the heap Dump sub-tab of the main window. You can open the heap dump file saved locally (. hprof) or use VISUALVM to capture the heap dumps of a running program.A heap dump is a snapshot of all objects at a time in a Java Virtual machine (JVM). The

) - #item=json.dumps (City_aois[poi],ensure_ascii=false) - #STRs = ' {' city_name ': ' +poi.encode ("UTF-8") + ' "," List ": ' +item.encode (" UTF-8 ") + '} ' - #Print STRs -tmp={} -tmp['City_name']=POI intmp['List']=City_aois[poi] -Strs=json.dumps (Tmp,ensure_ascii=false). Encode ("UTF-8") toFilenew.write (strs+'\ r \ n') + - fileread.close () theFilenew.close ()The pits that have been trampled:1. Not familiar with Python, in fact, "JSON" is not used in Java is an object, is just a

JSON (JavaScript Object Notation) is a lightweight data interchange FormatBecause files can only be stored in memory in binary, string format. JSON serialization is required when storing dictionaries and functions. JSON is like a hang in a virtual machine, ready to open and hang at any time.One, store dictionary data1. JSON serialized dataImport Jsoninfo = {' age ': $, ' name ': ' Peter ', ' email ': ' @qq. com '}f = open (' Test.txt ', ' W ') #打开test. txt file and write to F.write ( Json.dumps

one. JSON moduleSerialization: Changing the shape of an object so that he can be stored in a file or transmitted over a network, serialization is called persistence, which is to store objects in permanent media, so that they are not lost due to power loss. JSON (JavaScript Object Notation) is a lightweight data interchange format, JSON is used to convert strings and Python data types, and the JSON module provides four functions: dumps, dump, loads, lo

high memory usage and high CPU usage.In the hang mode, the dump file is crawled in a non-intrusive manner and does not interrupt the thread, so it is not necessary to have the same identity as the boot process, which is useful when the client is debugging the server with the Hang mode fetching dump file. -crash Fetch dump file When the process terminates abnormally.There are 3 scenarios where the process terminates abnormally:1.unhandled of exceptionThe 2.asp.net process term

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

expiration, and more.Here's the official Bench-mark data:The test completed 50 concurrent executions of 100,000 requests.The set and get value is a 256-byte string.Linux box is running Linux 2.6, which is X3320 Xeon 2.5 GHz.Text execution uses the loopback interface (127.0.0.1).Result: The write speed is 110,000 times/s, the reading speed is 81,000 times/s.Redis Common commands:In the case of DB, Redis scores have been amazing, and not to mention the Memcachedb and Tokyocabinet, the original me

JSON general-purpose data structures in Python are dictionaries and lists * * *# # Json:four_leaf_clover:Used to convert between a string and a Python data type, because JSON represents a stringThe JSON module provides four methods| Method | Description || ----- | ----------------------------- || Dump | Receives a file handle and converts the original data type to a string to write to the file || Load | Receives a file handle that converts a string in a file to the original data type returned |

1. Base content: ALTER SESSION SET EVENTS ' immediate trace name buffers level n '; N Value Meaning: 1 dumps the buffer header only. 2 Dumps the data block on a level 1 basis. 3 The data block content is then dumped on a level 2 basis. 4 Dump buffer header and hash chain. 5 Dumps the data block and hash chain on a level 1 basis. 6 The data

;However, it is best to verify the (-D parameter) with the debug option before it is formally executed, which is also important for debugging#/usr/sbin/logrotate-f/etc/logrotate.d/nginx//not to time or not to cutting conditions, forced cutting#/usr/sbin/logrotate-d-f/etc/logrotate.d/nginx//Output cutting debug informationSo far, we know how Logrotate realizes automatic cutting logs.Logrotate Configuration CasesNginx Common Log Cutting configuration/data/log/nginx/*.log/data/log/nginx/*/*.log {#