Видео курса

  • Урок 1. 00:05:42
    Introduction to this course
  • Урок 2. 00:06:37
    Introduction to Elasticsearch
  • Урок 3. 00:17:47
    Overview of the Elastic Stack
  • Урок 4. 00:10:58
    Walkthrough of common architectures
  • Урок 5. 00:01:13
    Introduction to this section
  • Урок 6. 00:05:16
    Nodes & Clusters
  • Урок 7. 00:01:41
    Indices & Documents
  • Урок 8. 00:01:22
    A word on types
  • Урок 9. 00:04:54
    Sharding
  • Урок 10. 00:03:34
    Replication
  • Урок 11. 00:03:15
    Keeping replicas synchronized
  • Урок 12. 00:03:43
    Searching for data
  • Урок 13. 00:04:04
    Distributing documents across shards
  • Урок 14. 00:01:17
    Wrap up
  • Урок 15. 00:11:42
    Running Elasticsearch & Kibana in Elastic Cloud
  • Урок 16. 00:05:21
    Installing Elasticsearch on Mac/Linux
  • Урок 17. 00:05:37
    Installing Elasticsearch on Windows
  • Урок 18. 00:03:44
    Configuring Elasticsearch
  • Урок 19. 00:02:53
    Installing Kibana on Mac/Linux
  • Урок 20. 00:02:44
    Installing Kibana on Windows
  • Урок 21. 00:02:05
    Configuring Kibana
  • Урок 22. 00:06:37
    Introduction to Kibana and dev tools
  • Урок 23. 00:01:35
    Creating an index
  • Урок 24. 00:03:50
    Adding documents
  • Урок 25. 00:01:17
    Retrieving documents by ID
  • Урок 26. 00:01:30
    Replacing documents
  • Урок 27. 00:03:43
    Updating documents
  • Урок 28. 00:03:09
    Scripted updates
  • Урок 29. 00:02:32
    Upserts
  • Урок 30. 00:03:31
    Deleting documents
  • Урок 31. 00:00:50
    Deleting indices
  • Урок 32. 00:05:57
    Batch processing
  • Урок 33. 00:02:52
    Importing test data with cURL
  • Урок 34. 00:06:54
    Exploring the cluster
  • Урок 35. 00:01:24
    Introduction to mapping
  • Урок 36. 00:04:28
    Dynamic mapping
  • Урок 37. 00:02:51
    Meta fields
  • Урок 38. 00:13:49
    Field data types
  • Урок 39. 00:01:58
    Adding mappings to existing indices
  • Урок 40. 00:03:52
    Changing existing mappings
  • Урок 41. 00:08:01
    Mapping parameters
  • Урок 42. 00:02:41
    Adding multi-fields mappings
  • Урок 43. 00:05:45
    Defining custom date formats
  • Урок 44. 00:07:34
    Picking up new fields without dynamic mapping
  • Урок 45. 00:00:38
    Wrap up
  • Урок 46. 00:01:54
    Introduction to the analysis process
  • Урок 47. 00:05:23
    A closer look at analyzers
  • Урок 48. 00:03:31
    Using the Analyze API
  • Урок 49. 00:04:32
    Understanding the inverted index
  • Урок 50. 00:02:37
    Overview of character filters
  • Урок 51. 00:08:37
    Overview of tokenizers
  • Урок 52. 00:06:27
    Overview of token filters
  • Урок 53. 00:05:01
    Overview of built-in analyzers
  • Урок 54. 00:04:44
    Configuring built-in analyzers and token filters
  • Урок 55. 00:03:14
    Creating custom analyzers
  • Урок 56. 00:03:21
    Using analyzers in mappings
  • Урок 57. 00:03:30
    Adding analyzers to existing indices
  • Урок 58. 00:01:02
    A word on stop words
  • Урок 59. 00:01:02
    Wrap up
  • Урок 60. 00:02:18
    Search methods
  • Урок 61. 00:03:51
    Searching with the request URI
  • Урок 62. 00:02:51
    Introducing the Query DSL
  • Урок 63. 00:01:58
    Understanding query results
  • Урок 64. 00:10:31
    Understanding relevance scores
  • Урок 65. 00:01:44
    Debugging unexpected search results
  • Урок 66. 00:02:42
    Query contexts
  • Урок 67. 00:05:59
    Full text queries vs term level queries
  • Урок 68. 00:01:11
    Introduction to term level queries
  • Урок 69. 00:02:29
    Searching for a term
  • Урок 70. 00:01:49
    Searching for multiple terms
  • Урок 71. 00:01:08
    Retrieving documents based on IDs
  • Урок 72. 00:03:47
    Matching documents with range values
  • Урок 73. 00:07:38
    Working with relative dates (date math)
  • Урок 74. 00:02:01
    Matching documents with non-null values
  • Урок 75. 00:01:20
    Matching based on prefixes
  • Урок 76. 00:02:35
    Searching with wildcards
  • Урок 77. 00:03:04
    Searching with regular expressions
  • Урок 78. 00:02:24
    Introduction to full text queries
  • Урок 79. 00:04:46
    Flexible matching with the match query
  • Урок 80. 00:01:39
    Matching phrases
  • Урок 81. 00:02:39
    Searching multiple fields
  • Урок 82. 00:01:10
    Introduction to compound queries
  • Урок 83. 00:10:38
    Querying with boolean logic
  • Урок 84. 00:03:17
    Debugging bool queries with named queries
  • Урок 85. 00:06:24
    How the “match” query works
  • Урок 86. 00:02:44
    Introduction to this section
  • Урок 87. 00:05:52
    Querying nested objects
  • Урок 88. 00:04:00
    Nested inner hits
  • Урок 89. 00:02:43
    Mapping document relationships
  • Урок 90. 00:06:36
    Adding documents
  • Урок 91. 00:02:53
    Querying by parent ID
  • Урок 92. 00:05:15
    Querying child documents by parent
  • Урок 93. 00:05:56
    Querying parent by child documents
  • Урок 94. 00:09:43
    Multi-level relations
  • Урок 95. 00:02:01
    Parent/child inner hits
  • Урок 96. 00:06:12
    Terms lookup mechanism
  • Урок 97. 00:01:43
    Join limitations
  • Урок 98. 00:04:21
    Join field performance considerations
  • Урок 99. 00:03:02
    Specifying the result format
  • Урок 100. 00:04:27
    Source filtering
  • Урок 101. 00:01:37
    Specifying the result size
  • Урок 102. 00:02:10
    Specifying an offset
  • Урок 103. 00:05:05
    Pagination
  • Урок 104. 00:05:17
    Sorting results
  • Урок 105. 00:02:28
    Sorting by multi-value fields
  • Урок 106. 00:03:53
    Filters
  • Урок 107. 00:02:44
    Introduction to aggregations
  • Урок 108. 00:09:41
    Metric aggregations
  • Урок 109. 00:06:26
    Introduction to bucket aggregations
  • Урок 110. 00:06:23
    Document counts are approximate
  • Урок 111. 00:05:59
    Nested aggregations
  • Урок 112. 00:02:32
    Filtering out documents
  • Урок 113. 00:03:17
    Defining bucket rules with filters
  • Урок 114. 00:07:55
    Range aggregations
  • Урок 115. 00:08:02
    Histograms
  • Урок 116. 00:03:00
    Global aggregation
  • Урок 117. 00:02:28
    Missing field values
  • Урок 118. 00:02:17
    Aggregating nested objects
  • Урок 119. 00:00:28
    Introduction to this section
  • Урок 120. 00:07:18
    Proximity searches
  • Урок 121. 00:05:35
    Affecting relevance scoring with proximity
  • Урок 122. 00:09:07
    Fuzzy match query (handling typos)
  • Урок 123. 00:02:34
    Fuzzy query
  • Урок 124. 00:12:12
    Adding synonyms
  • Урок 125. 00:05:41
    Adding synonyms from file
  • Урок 126. 00:06:06
    Highlighting matches in fields
  • Урок 127. 00:05:27
    Stemming
  • Урок 128. 00:06:41
    Introducing Application & Client Libraries
  • Урок 129. 00:06:31
    Adding a simple query
  • Урок 130. 00:08:35
    Paginating search results
  • Урок 131. 00:04:49
    Adding fuzziness
  • Урок 132. 00:17:37
    Aggregations & Filters
  • Урок 133. 00:03:42
    Adding product details page
  • Урок 134. 00:00:48
    Last words & summing up
  • Урок 135. 00:01:07
    Introduction to this course
  • Урок 136. 00:03:14
    Introduction to Elasticsearch
  • Урок 137. 00:08:27
    Terminology
  • Урок 138. 00:03:20
    Installing Elasticsearch
  • Урок 139. 00:04:24
    Installing Kibana
  • Урок 140. 00:03:00
    Installing Sense
  • Урок 141. 00:04:03
    Creating an index
  • Урок 142. 00:01:17
    Deleting an index
  • Урок 143. 00:05:08
    Introduction to mapping
  • Урок 144. 00:13:17
    Field data types
  • Урок 145. 00:06:26
    Meta fields
  • Урок 146. 00:04:14
    Adding mappings
  • Урок 147. 00:02:23
    Adding test data
  • Урок 148. 00:04:35
    Adding documents
  • Урок 149. 00:01:48
    Replacing documents
  • Урок 150. 00:02:06
    Updating documents
  • Урок 151. 00:01:14
    Deleting documents
  • Урок 152. 00:08:02
    Batch processing
  • Урок 153. 00:01:41
    Retrieving document by ID
  • Урок 154. 00:07:30
    Introduction to searching
  • Урок 155. 00:04:22
    Searching with query strings: Basics
  • Урок 156. 00:04:01
    Searching with query strings: Bool query
  • Урок 157. 00:03:21
    Searching with query strings: Phrase query
  • Урок 158. 00:01:18
    Searching with query strings: Remarks
  • Урок 159. 00:05:27
    Searching with Query DSL: Full text queries
  • Урок 160. 00:07:02
    Searching with Query DSL: Term level queries
  • Урок 161. 00:07:40
    Searching with Query DSL: Compound queries
  • Урок 162. 00:08:21
    Searching across indexes and types
  • Урок 163. 00:09:22
    Fuzzy searches
  • Урок 164. 00:05:55
    Proximity searches
  • Урок 165. 00:04:28
    Boosting
  • Урок 166. 00:03:09
    Filtering results
  • Урок 167. 00:01:52
    Changing the size of result sets
  • Урок 168. 00:03:32
    Pagination
  • Урок 169. 00:02:31
    Sorting results
  • Урок 170. 00:13:41
    Aggregations
Этот курс находится в платной подписке. Оформи премиум подписку и смотри этот, а также все другие курсы, прямо сейчас!
Премиум FAQ