has best unlimited data plan 2016

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2015 plan and 2016 plan

----Java1 Java languageFinish all Tij exercises, post to GitHub, and complete a number of technical posts for points of interest.2 Java Virtual machine3 Java concurrency----Design PatternsTake martial arts as the background, completed 20 technical blog, introduce design patterns. The design pattern in the martial arts world----algorithmLeetcode in the title and publish it to GitHub.----Server TechnologyConcepts such as high concurrency HA cluster cache load balance.Server-side technology is impo

2015 year-end summary, 2016 preliminary plan

book Murakami's "When I run, what I talk about." Begin to focus on the GitHub forum and blog, and strive for technical growth and ongoing thorough research.2016-year preliminary plan1, insist on writing a blog, more than four articles per month. CSDN's traffic reached 150,000. Blog original article doubled.2, go to the GitHub forum to browse the forefront of Android technology, learn more about other technologies, especially the front end and Java.3,

HDU3078 Network [June 2016 plan tree issue 05]

both con Dition:1. For some reason, the latency of one router changed. 2. Querying the k-th longest lag router between.For the data case, the integers N and Q for first line. 0then n integers on second line refer to the latency of each router in the very beginning.Then N-1 lines followed, contains the integers x and y for each, telling there is a fiber connect router x and router Y.Then q lines followed to describe questions, three numbers k, a, b fo

2016 summary and 2017-year plan

. Java programming ideas, Java and design patterns, in-depth understanding of Java virtual machines, Java concurrent Programming combat1. Look at the Scala grammar several times: "Learn Scala fast"2, summarize spark, write a few summary articles3. Read the Hadoop and Spark source code4, continue to study the application of big data-related technologies, Hadoop, Hbase, Hive, Kafka, flume, etc.4, review "calculus", "Probability theory and Mathematical S

Industrial Technology Innovation Capacity Development Plan (2016-2020)

, vulnerability mining, host protection and other information security technology, for industrial big data, industrial cloud, Information Physics System (CPS) and other fields of information security protection key technologies and products, industrial firewalls, network gates and other industrial information security border Protection products, Advanced Persistent threat (APT) protection, attack detection and traceability, electronic authentication t

SQL Server Execution plan uses statistics to estimate the data rows (why the composite index column order affects the estimate of the data rows for the execution plan)

Tags: arc requires IDE number Server index execute execution plan log The source of this article: http://www.cnblogs.com/wy123/p/6008477.html For statistics on the number of rows of data estimates, previously written on the non-related columns (separate or separate index columns) of the algorithm, refer to here.   Today, let's write the statistical information on the calculation methods and potential probl

SQL Server Execution plan uses statistics to estimate the data rows (why the composite index column order affects the estimate of the data rows for the execution plan)

,Let's build this one. Index: CREATE index idx_col2_col3 on Teststatistics(col2,col3)Executes a query that is estimated to be 4127.86 rowsThen drop the index above and continue creating an index: Create index idx_col3_col2 on Teststatistics(col3,col2)Note that the order of COL2 and COL3 is inconsistentContinue execution of the above query (the query condition is unchanged, the data is unchanged, only the index column order has changed), this time is e

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