transaction id

Transaction ID in DB2 Author: anonymous time: Source: Internet Editor: XiaoYu Abstract: The transaction ID in DB2

transaction ID in DB2 Author: anon Time: 2005-08-12 17:39 Source: Internet Zebian: Small fishing Summary: Transaction IDs in DB2

BackgroundIn Flink 1.5 above, it provides a new Kafka producer implementation:flinkkafkaproducer011, aligning with Kafka 0.11 above that supports transaction. Kafka transaction allows multiple Kafka messages sent by producer to deliver on an atomic

"Seeing for real" hands-on practice understanding read COMMITTED && MVCCFirst set the database isolation level to read Committed (COMMITTED):setglobaltransactionisolationlevelREADCOMMITTED ;setsessiontransactionisolationlevelREADCOMMITTED[READ

In the article "HDFs Source code Analysis Editlog Get the edit log input stream," we learned more about how to get the edit log input stream editloginputstream. After we get the edit log input stream, is it time to get the data from the input stream

In the article "HDFs Source code Analysis Editlogtailer", we have detailed understanding of the implementation of the editing log tracker Editlogtailer, introduced its internal editing log tracking thread Editlogtailerthread implementation, The

Keywords: Bluetooth bluetooth® protocol SDP Anatomy SDP overview SDP notes Author: Zhongjun In the spirit of mutual learning purposes, to share this series of articles, welcome reprint, please specify the author, respect for copyright, thank

The header of each data block contains the ITL information (Interested Transaction list). Each item affects the transaction information of this data block. There is a lock byte in each row, which stores the information of the ITL slot. Therefore, to

I previously made an InnoDB sharing, mainly about the structure of B + Tree in InnoDB AND THE IMPLEMENTATION OF MVCC. PaperwritingservicesPPT :? Below BpTree_MVCC, I will sort out the PPT content a little. The first is B + Tree. The following

Advantages of using partitions: 1. Enhance usability: If a partition of a table fails, the data in other partitions is still available; 2, Maintenance Convenience: If the table of a section of the fault, need to repair the data, only repair the

Advantages of using partitions: 1. Enhance usability: If a partition of a table fails, the data in other partitions is still available; 2, Maintenance Convenience: If the table of a section of the fault, need to repair the data, only repair the

Summary: In a large number of business data processing projects, you can consider the use of partitioned tables to improve the performance of the application system and facilitate data management, this article describes the use of partitioned tables

1. BackgroundBased on the MySQL InnoDB source code, this paper makes some simple research on how to realize InnoDB non-locking consistency reading.2. Basic Concepts 2.1 hidden fieldsThe implementation of MVCC in MySQL is mentioned in section 1.4 of

DHCP involves four main processes: Discover, offer, request, and ack.  Step 1:The client (PC or mobile terminal) searches for the server or router that can provide IP addresses in the form of a broadcast package, which is the Discover stage.

Contents Introduction overhead UDP connections/spoofing Time outs Examples UDP tracker protocol Existing IPv6 Extensions References and footnotes Introduction To discover the other peers in a swarm a client announces it's existance to a tracker. The

InnoDB storage engine As with most databases, records are stored as rows. This means that the page holds data for a row of rows in the table. Before the InnoDB 1.0.x version, the InnoDB storage engineThe compact and redundant two formats are

Original address: http://www.ahlinux.com/java/20332.htmlIn concurrent programming, one important content is data sharing. When you create a thread that implements the Runnable interface and then turn on various thread objects that use the same

Oracle In large enterprise applications or enterprise-class database applications, the amount of data to be processed can typically reach dozens of to hundreds of GB, or even to terabytes. Although storage media and data processing technologies

Brief introductionThis article describes what information is logged in the transaction log of SQL Server and how to read the information in these transaction logs. First, a Microsoft is not exposed to the function Fn_dblog, in the next part of the

From the ldquo;postgresqlmvccsource code example: www.linuxidc.comlinux2015-04257969.htm] rdquo;, we know that PG is not like From the last ldquo; PostgreSQL MVCC source code implementation [http://www.linuxidc.com/linux/2015-05/117969.htm?rdquo.pdf,