• Урок 1. 00:06:28
    Introduction to the 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. 00:02:36
    Overview of installation options
  • Урок 6. 00:08:10
    Running Elasticsearch & Kibana in Elastic Cloud
  • Урок 7. 00:05:02
    Installing Elasticsearch on macOS and Linux
  • Урок 8. 00:05:15
    Installing Elasticsearch on Windows
  • Урок 9. 00:06:52
    Exploring the Elasticsearch directory
  • Урок 10. 00:03:30
    Installing Kibana on macOS and Linux
  • Урок 11. 00:03:26
    Installing Kibana on Windows
  • Урок 12. 00:06:58
    Understanding the basic architecture
  • Урок 13. 00:07:35
    Inspecting the cluster
  • Урок 14. 00:05:36
    Sending queries with cURL
  • Урок 15. 00:09:28
    Sharding and scalability
  • Урок 16. 00:17:41
    Understanding replication
  • Урок 17. 00:08:47
    Adding more nodes to the cluster (for development)
  • Урок 18. 00:10:00
    Overview of node roles
  • Урок 19. 00:01:11
    Wrap up
  • Урок 20. 00:03:09
    Creating & deleting indices
  • Урок 21. 00:04:07
    Indexing documents
  • Урок 22. 00:01:21
    Retrieving documents by ID
  • Урок 23. 00:04:00
    Updating documents
  • Урок 24. 00:07:45
    Scripted updates
  • Урок 25. 00:02:31
    Upserts
  • Урок 26. 00:01:27
    Replacing documents
  • Урок 27. 00:01:02
    Deleting documents
  • Урок 28. 00:05:19
    Understanding routing
  • Урок 29. 00:02:35
    How Elasticsearch reads data
  • Урок 30. 00:08:04
    How Elasticsearch writes data
  • Урок 31. 00:03:23
    Understanding document versioning
  • Урок 32. 00:06:33
    Optimistic concurrency control
  • Урок 33. 00:08:53
    Update by query
  • Урок 34. 00:01:53
    Delete by query
  • Урок 35. 00:13:54
    Batch processing
  • Урок 36. 00:07:15
    Importing data with cURL
  • Урок 37. 00:00:53
    Wrap up
  • Урок 38. 00:00:43
    Introduction to this section
  • Урок 39. 00:05:31
    Introduction to analysis
  • Урок 40. 00:05:13
    Using the Analyze API
  • Урок 41. 00:06:41
    Understanding inverted indices
  • Урок 42. 00:02:09
    Introduction to mapping
  • Урок 43. 00:08:36
    Overview of data types
  • Урок 44. 00:04:09
    How the "keyword" data type works
  • Урок 45. 00:06:00
    Understanding type coercion
  • Урок 46. 00:05:05
    Understanding arrays
  • Урок 47. 00:05:33
    Adding explicit mappings
  • Урок 48. 00:01:36
    Retrieving mappings
  • Урок 49. 00:01:50
    Using dot notation in field names
  • Урок 50. 00:01:53
    Adding mappings to existing indices
  • Урок 51. 00:06:06
    How dates work in Elasticsearch
  • Урок 52. 00:01:45
    How missing fields are handled
  • Урок 53. 00:14:36
    Overview of mapping parameters
  • Урок 54. 00:04:22
    Updating existing mappings
  • Урок 55. 00:12:47
    Reindexing documents with the Reindex API
  • Урок 56. 00:03:31
    Defining field aliases
  • Урок 57. 00:06:35
    Multi-field mappings
  • Урок 58. 00:07:51
    Index templates
  • Урок 59. 00:05:31
    Introduction to the Elastic Common Schema (ECS)
  • Урок 60. 00:09:03
    Introduction to dynamic mapping
  • Урок 61. 00:01:35
    Combining explicit and dynamic mapping
  • Урок 62. 00:08:03
    Configuring dynamic mapping
  • Урок 63. 00:13:23
    Dynamic templates
  • Урок 64. 00:05:16
    Mapping recommendations
  • Урок 65. 00:04:09
    Stemming & stop words
  • Урок 66. 00:04:23
    Analyzers and search queries
  • Урок 67. 00:07:39
    Built-in analyzers
  • Урок 68. 00:10:01
    Creating custom analyzers
  • Урок 69. 00:06:12
    Adding analyzers to existing indices
  • Урок 70. 00:07:09
    Updating analyzers
  • Урок 71. 00:00:29
    Wrap up
  • Урок 72. 00:02:18
    Search methods
  • Урок 73. 00:03:51
    Searching with the request URI
  • Урок 74. 00:02:51
    Introducing the Query DSL
  • Урок 75. 00:03:43
    How searching works
  • Урок 76. 00:01:58
    Understanding query results
  • Урок 77. 00:10:31
    Understanding relevance scores
  • Урок 78. 00:01:44
    Debugging unexpected search results
  • Урок 79. 00:02:42
    Query contexts
  • Урок 80. 00:05:59
    Full text queries vs term level queries
  • Урок 81. 00:01:11
    Introduction to term level queries
  • Урок 82. 00:02:29
    Searching for a term
  • Урок 83. 00:01:49
    Searching for multiple terms
  • Урок 84. 00:01:08
    Retrieving documents based on IDs
  • Урок 85. 00:03:47
    Matching documents with range values
  • Урок 86. 00:07:38
    Working with relative dates (date math)
  • Урок 87. 00:02:01
    Matching documents with non-null values
  • Урок 88. 00:01:20
    Matching based on prefixes
  • Урок 89. 00:02:35
    Searching with wildcards
  • Урок 90. 00:03:04
    Searching with regular expressions
  • Урок 91. 00:02:24
    Introduction to full text queries
  • Урок 92. 00:04:46
    Flexible matching with the match query
  • Урок 93. 00:01:39
    Matching phrases
  • Урок 94. 00:02:39
    Searching multiple fields
  • Урок 95. 00:01:10
    Introduction to compound queries
  • Урок 96. 00:10:38
    Querying with boolean logic
  • Урок 97. 00:03:17
    Debugging bool queries with named queries
  • Урок 98. 00:06:24
    How the “match” query works
  • Урок 99. 00:02:44
    Introduction to this section
  • Урок 100. 00:05:52
    Querying nested objects
  • Урок 101. 00:04:00
    Nested inner hits
  • Урок 102. 00:02:43
    Mapping document relationships
  • Урок 103. 00:06:36
    Adding documents
  • Урок 104. 00:02:53
    Querying by parent ID
  • Урок 105. 00:05:15
    Querying child documents by parent
  • Урок 106. 00:05:56
    Querying parent by child documents
  • Урок 107. 00:09:43
    Multi-level relations
  • Урок 108. 00:02:01
    Parent/child inner hits
  • Урок 109. 00:06:12
    Terms lookup mechanism
  • Урок 110. 00:01:43
    Join limitations
  • Урок 111. 00:04:21
    Join field performance considerations
  • Урок 112. 00:03:02
    Specifying the result format
  • Урок 113. 00:04:27
    Source filtering
  • Урок 114. 00:01:37
    Specifying the result size
  • Урок 115. 00:02:10
    Specifying an offset
  • Урок 116. 00:05:05
    Pagination
  • Урок 117. 00:05:17
    Sorting results
  • Урок 118. 00:02:28
    Sorting by multi-value fields
  • Урок 119. 00:03:53
    Filters
  • Урок 120. 00:02:44
    Introduction to aggregations
  • Урок 121. 00:09:41
    Metric aggregations
  • Урок 122. 00:06:26
    Introduction to bucket aggregations
  • Урок 123. 00:06:23
    Document counts are approximate
  • Урок 124. 00:05:59
    Nested aggregations
  • Урок 125. 00:02:32
    Filtering out documents
  • Урок 126. 00:03:17
    Defining bucket rules with filters
  • Урок 127. 00:07:55
    Range aggregations
  • Урок 128. 00:08:02
    Histograms
  • Урок 129. 00:03:00
    Global aggregation
  • Урок 130. 00:02:28
    Missing field values
  • Урок 131. 00:02:17
    Aggregating nested objects
  • Урок 132. 00:00:28
    Introduction to this section
  • Урок 133. 00:07:18
    Proximity searches
  • Урок 134. 00:05:35
    Affecting relevance scoring with proximity
  • Урок 135. 00:09:07
    Fuzzy match query (handling typos)
  • Урок 136. 00:02:34
    Fuzzy query
  • Урок 137. 00:12:12
    Adding synonyms
  • Урок 138. 00:05:41
    Adding synonyms from file
  • Урок 139. 00:06:06
    Highlighting matches in fields
  • Урок 140. 00:05:27
    Stemming
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