Elasticsearch top Course Series video tutorial-core knowledge, elasticsearch Course

Elasticsearch top Course Series video tutorial-core knowledge, elasticsearch Course

Http://pan.baidu.com/s/1skUv0BV

Elasticsearch top master series course video tutorial-core knowledge (courseware + Source Code)

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01: course introduction. avi

02: Tell you what Elasticsearch. avi is.

Section 03: features, application scenarios, and features of Elasticsearch. avi

Section 04: manual graph analysis core concepts of Elasticsearch: NRT, index, partition, copy, etc.. avi

05: Install and start Elasticseach. avi on windows

Section 06: Quick Start case study e-commerce website product management: Cluster health check, document CRUD. avi

Section 07: Quick Start case study e-commerce website product management: multiple search methods. avi

Section 08: Quick Start case study e-commerce website product management: Nested aggregation, drill-down analysis, aggregation analysis. avi

Section 09: manual graph analysis of the basic distributed architecture of Elasticsearch. avi

Section 10: Review the shard & replica mechanism and create the index diagram in a single node environment. avi

Section 11: illustrates how replica shard is allocated in two node environments. avi

Section 12: illustrates how the scale-out process exceeds the scale-out limit and how to improve fault tolerance. avi

Section 13: Illustration of the Fault Tolerance Mechanism of Elasticsearch: master election, replica fault tolerance, and data recovery. avi

Section 14: Preliminary Analysis of the Core metadata of the document and Graphic analysis of index creation counterexample. avi

Section 15: manual and automatic parsing of the document id in the distributed document system. avi

Section 16: Distributed document System-document's _ source metadata and custom returned result parsing. avi

Section 17: Distributed document System-full replacement of documents, forced creation, and illustration of lazy delete mechanism. avi

Section 18: Distributed Document System-in-depth Graphic analysis of Elasticsearch concurrency conflicts. avi

Section 19: Distributed Document System-deep Graphic analysis of two concurrency control schemes: Pessimistic lock and optimistic lock. avi

Section 20: Distributed Document System-illustration of how Elasticsearch implements optimistic lock concurrency control based on _ version. avi

Section 21: Distributed Document System-hands-on drills for optimistic lock concurrency control based on _ version. avi

Section 22: Distributed Document System-hands-on drills for optimistic lock concurrency control based on external version. avi

Section 23: Distributed Document System-illustration of the implementation principle of partial update and hands-on practice. avi

Section 24: Distributed Document System-hands-on drills for partial update. avi Based on groovy scripts

Section 25: Distributed Document System-graphic partial update optimistic lock concurrency control principle and related operations. avi

Section 26: Distributed Document System-hands-on drills mget batch query api. avi

Section 27: Distributed Document System-hands-on drills bulk batch addition, deletion, and modification. avi

Section 28: distributed document System _ stage summary and what is distributed document store. avi

Section 29: Distributed File System-in-depth Graphic analysis of document data routing principle. avi

Section 30: Distributed File System-graphic revealing the Internal principles of document addition, deletion, and modification. avi

Section 31: Distributed File System-graphic writing consistency principle and quorum mechanism in-depth analysis. avi

Section 32: Distributed document System _ illustration of the internal principle of document query. avi

Section 33: Distributed File System _ the odd json format of bulk api and underlying performance optimization secrets. avi

Section 34: in-depth analysis of search Engine _ search results (revealing the search timeout mechanism). avi

Section 35: Analysis of Search Engine _ multi-index & multi-type search modes and preliminary illustration of search principles. avi

Section 36: Search Engine-paging search and in-depth illustration of deep paging performance problems

Section 37: first understanding of search Engine _ quick understanding of query string search syntax and _ all metadata principle secrets. avi

Section 38: first glance at search engine _ use an example to tell you what avi ing is. avi

Section 39: Comparison and Analysis of first-recognized search engine _ exact match and full-text search. avi

Section 40: Quick Start to search engine _ inverted index Core Principles

Section 41: What is the internal composition of the search_analyzer and introduction to the built-in analyzer. avi

Section 42: first recognized the word segmentation of Search Engine _ query string and the big secrets left behind by the introduction of mapping into case studies. avi

Section 43: first understanding of the search engine _ What is mapping and a thorough understanding of avi

Section 44: first recognized the core data types of Search Engine _ mapping and dynamic mapping. avi

Section 45: first glance at search engine _ manually create and modify mapping and custom string-type data to determine whether word segmentation. avi

Section 46: first glance at the search engine _ mapping complex data types and the underlying structure of object-type data

Section 47: basic syntax of search Engine _ search api introduction. avi

Section 48: getting started with search engine _ Quick hands-on Query DSL search syntax. avi

Section 49: first recognized search engine _ in-depth comparison of filter and query decryption: relevance, performance. avi

Section 50: first understanding of Search Engine _ various common query search syntax used in hands-on operations. avi

Section 51: first recognized search engine _ hands-on machine practice multi-Search Condition combination query. avi

Section 52: first understanding of the search engine _ how to locate illegal searches and their causes in hands-on practice

Section 53: first understanding of the search engine _ hands-on practice on the machine how to customize the sorting rules for search results. avi

Section 54: how to solve the problem of string sorting by two field indexes in search engine _ decryption

Section 55: first recognized search engine _ Relevance score TF & IDF algorithm exclusive decryption. avi

Section 56: first understanding of Search Engine _ kernel-level knowledge point doc value preliminary exploration. avi

Section 57: Search Engine-query phase. avi decrypted by distributed search engine Kernel

Section 58: knowledge of Search Engine _ fetch phase. avi decrypted by distributed search engine Kernel

Section 59: Search Engine _ search-related parameter sorting and bouncing results solution. avi

Section 60: first glance at the search engine _ hands-on machine practice rolling search of large amounts of data based on scoll technology. avi

Section 61: index management _ Quick hands-on operations to create, modify, and delete indexes. avi

Section 62: index management _ Quick hands-on operations to modify the word divider and customize your own word divider. avi

Section 63: index management _ kernel-level knowledge point: Exploring the underlying data structure of type. avi

Section 64: index management _ mapping root object in-depth analysis. avi

Section 65: index management _ custom dynamic ing policy. avi

Section 66: index management _ complex computer experiment: rebuilding indexes without downtime Based on scoll + bulk + index alias. avi

Section 67: Kernel principle: exploring the structure of inverted indexes and revealing the cause of variable indexes. avi

Section 68: Kernel principle exploring _ in-depth Graphic analysis of document writing principles (buffer, segment, commit). avi

Section 69: Kernel principle exploring _ optimizing the write process to achieve NRT near real-time (filesystem cache, refresh). avi

Section 70: Kernel Principle Exploration _ continue to optimize the write process to achieve durability reliable storage (translog, flush). avi

Section 71: Kernel Principle Exploration _ final optimization of the write process for merge of massive disk files (segment merge, optimize). avi

Section 72: Java API preliminary Use Case Study: add, delete, modify, and query employee information based on Java. avi

Section 73: Preliminary use of Java API _ employee management case: perform complex search operations on employee information based on Java. avi

Section 74: Preliminary use of Java API _ employee management case: aggregation and analysis of employee information based on Java. avi

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