Elasticsearch – Ein praktischer Einstieg

Im Buch wird auf eine Vielzahl von Ressourcen verwiesen. Unten stehen diese als direkte Links zur Verfügung. Zusätzlich sind auf dieser Seite noch weiterführende Ressourcen angegeben, die es nicht ins Buch geschafft haben, aber bei der Arbeit mit Elasticsearch weiterhelfen können.

Weiterführende Ressourcen

Zu Elasticsearch:

• discuss.elastic.co. Die Diskussionsforen zu den unterschiedlichen elastic-Projekten und -Produkten.
• Elasticsearch in Action. Ein weiteres englischsprachiges Buch.
• Blog des Autors. Auf dem Blog des Autors gibt es noch weiterführende Artikel zu Elasticsearch.

Zur Integration von Elasticsearch in Java-Anwendungen:

• Elasticsearch - Clientnutzung, Datenvisualisierung und Apache Lucene. In einem kleinen E-Book wurden mehrere Java-Magazin-Artikel zu Elasticsearch veröffentlicht, darunter ein Beitrag zur Integration von Elasticsearch in Java-Anwendungen.
• Java Clients for Elasticsearch. Englische Version des Java-Magazin-Artikels.
• Folien zum Vortrag "Elasticsearch und die Java-Welt"

Zu Logstash und Kibana:

• The logstash Book. James Turnbull hat ein kleines Buch zur Arbeit mit Logstash veröffentlicht, das kürzlich ein Update für Version 2.1 erhalten hat.
• Kibana 4 Tutorial. Anna und Tim Roes haben auf ihrem Blog mehrere sehr detaillierte Tutorials zu Kibana veröffentlicht.

Ressourcen im Buch

• [1] Wikipedia-Artikel zu Apache Lucene.
• [2] Wikipedia-Artikel zu Apache Solr.
• [3] Diana Kupfer. Interview mit Shay Banon.
• [4] cURL-Homepage.
• [5] Postman-Homepage.
• [6] REST-Client-Homepage.
• [7] Wikipedia-Artikel zu Representational State Transfer.
• [8] Marvel | Monitor Your Elasticsearch Deployment.
• [9] Elasticsearch-Referenz: Query string syntax.
• [10] Elasticsearch-Referenz: Multi Match Query.
• [11] Wikipedia-Artikel zu ISO 8601.
• [12] Elasticsearch-Referenz: Types.
• [13] Elasticsearch-Referenz: Source filtering.
• [14] Projektseite Mustache.
• [15] Elasticsearch-Referenz: Search Template.
• [16] Elasticsearch-Referenz: Query DSL.
• [17] Projektseite Extended Analyze Plugin.
• [18] Elasticsearch-Referenz: Language Analyzers.
• [19] Elasticsearch-Referenz: Keyword Marker Token Filter.
• [20] Elasticsearch-Referenz: Wildcard Query.
• [21] Elasticsearch-Referenz: Updating Index Analysis.
• [22] Elasticsearch-Referenz: Multi-fields.
• [23] Elasticsearch-Referenz: Compound Word Token Filter.
• [24] Wikipedia-Artikel zur Levenshtein-Distanz.
• [25] Andrew Cholakian. How to Use Fuzzy Searches in Elasticsearch.
• [26] Christian Moen. Language support and linguistics in Lucene/Solr/elasticsearch and the open source and commercial eco-system.
• [27] Jörg Prante. A plugin for language detection in Elasticsearch using Nakatani Shuyo’s language detector.
• [28] Grant Ingersoll, Thomas Morton und Andrew Farris. Taming Text.Manning
• [29] Elasticsearch-Referenz: Common Grams Token Filter.
• [30] ICU Analysis plugin for Elasticsearch.
• [31] Elasticsearch-Referenz: Token Filters.
• [32] Phonetic Analysis Plugin for Elasticsearch.
• [33] Elasticsearch-Referenz: Word Delimiter Token Filter.
• [34] Elasticsearch-Referenz: Regexp Query.
• [35] Elasticsearch-Referenz: Highlighting.
• [36] jQuery Autocomplete.
• [37] typeahead.js.
• [38] Michael McCandless. Using Finite State Transducers in Lucene.
• [39] Elasticsearch-Referenz: Completion Suggester.
• [40] Alexander Reelsen. You Complete Me.
• [41] Elasticsearch-Referenz: Context Suggester.
• [42] Sloan Ahrens. Multi-field Partial Word Autocomplete in Elasticsearch Using nGrams.
• [43] Elasticsearch-Referenz: Phrase Suggester.
• [44] Erik Hatcher, Otis Gospodnetic und Michael McCandless. Lucene in Action. Manning, 2009
• [45] Ricardo Baeza-Yates und Berthier Ribeiro-Neto. Modern Information Retrieval. Pearson, 2011.
• [46] JavaDoc Apache Lucene: Class TFIDFSimilarity.
• [47] Elasticsearch-Referenz: More Like This Query.
• [48] Wikipedia-Artikel zu Okapi BM25.
• [49] Zachary Tong. All About Elasticsearch Filter BitSets.
• [50] Elasticsearch-Referenz: Minimum Should Match.
• [51] Elasticsearch-Referenz: Queries.
• [52] Jon Tai. Advanced Scoring in elasticsearch.
• [53] Elasticsearch-Referenz: Boosting Query.
• [54] Elasticsearch-Referenz: Rescoring.
• [55] Elasticsearch-Referenz: Function Score Query.
• [56] Wikipedia-Artikel zu Normalverteilung.
• [57] Andrew Cholakian. A Gentle Intro to Function Scoring.
• [58] Britta Weber. Scoring for human beings.
• [59] Elasticsearch-Referenz: Scripting.
• [60] Elasticsearch-Referenz: Explain.
• [61] Elasticsearch-Referenz: _ttl.
• [62] Wikipedia-Artikel zu Optimistic concurrency control.
• [63] Clinton Gormley und Zachary Tong. Elasticsearch: The Definitive Guide, Multidocument Patterns.
• [64] Jörg Prante. JDBC importer for Elasticsearch.
• [65] Mapper Attachments Type plugin for Elasticsearch.
• [66] Lucene-Wiki: Near Realtime Search.
• [67] Michael McCandless. Lucene’s near-real-time search is fast!
• [68] Elasticsearch-Referenz: Merge.
• [69] Leonardo Menezes. web admin interface for elasticsearch.
• [70] Florian Hopf. A Tour Through elasticsearch-kopf.
• [71] Elasticsearch-Referenz: Cluster Reroute.
• [72] Elasticsearch-Referenz: Gateway.
• [73] Elasticsearch-Referenz: Index Shard Allocation.
• [74] Elasticsearch-Referenz: Cluster.
• [75] Zachary Tong. Understanding “Query Then Fetch” vs “DFS Query Then Fetch”.
• [76] Zachary Tong. Customizing Your Document Routing.
• [77] Shay Banon. ElasticSearch: Big Data, Search, and Analytics.
• [78] Elasticsearch-Referenz: Transport.
• [79] Projektseite eskka.
• [80] Elasticsearch-Referenz: Zen Discovery.
• [81] Kyle Kingsbury. The network is reliable.
• [82] Kyle Kingsbury. Call me maybe: Elasticsearch.
• [83] Elasticsearch Resiliency Status.
• [84] Adrien Grand. What is in a Lucene Index.
• [85] Clinton Gormley und Zachary Tong. Elasticsearch: The Definitive Guide, Types and Mappings.
• [86] Clinton Gormley. The Great Mapping Refactoring.
• [87] Nils Tiedemann. Performante numerische Bereichsanfragen mit Solr 1.4/Lucene 2.9.
• [88] Elasticsearch-Referenz: Date Format.
• [89] Elasticsearch-Referenz: Geo Point Type.
• [90] Projektseite GeoJSON.
• [91] Elasticsearch-Referenz: Geo Shape Type.
• [92] Michael McCandless. Searching relational content with Lucene’s BlockJoinQuery.
• [93] Zachary Tong. Managing Relations Inside Elasticsearch.
• [94] Wikipedia-Artikel zu Drill-Down.
• [95] Elasticsearch-Referenz: Terms Aggregation.
• [96] Elasticsearch-Referenz: Aggregations.
• [97] Elasticsearch-Referenz: Date Histogram Aggregation.
• [98] Mark Harwood. Significant Terms Aggregation.
• [99] Elasticsearch-Referenz: Global Aggregation.
• [100] Elasticsearch-Referenz: Filter Aggregation.
• [101] Elasticsearch-Referenz: Filters Aggregation.
• [102] Elasticsearch-Referenz: Missing Aggregation.
• [103] Elasticsearch-Referenz: Nested Aggregation.
• [104] Elasticsearch-Referenz: Reverse nested Aggregation.
• [105] Elasticsearch-Referenz: Children Aggregation.
• [106] Elasticsearch-Referenz: IPv4 Range Aggregation.
• [107] Elasticsearch-Referenz: Geo Distance Aggregation.
• [108] Wikipedia-Artikel zu Geohash.
• [109] Elasticsearch-Referenz: GeoHash grid Aggregation.
• [110] Elasticsearch-Referenz: Percentiles Aggregation.
• [111] Elasticsearch-Referenz: Percentile Ranks Aggregation.
• [112] Elasticsearch-Referenz: Cardinality Aggregation.
• [113] Elasticsearch-Referenz: Top hits Aggregation.
• [114] Elasticsearch-Referenz: Avg Aggregation.
• [115] Elasticsearch-Referenz: Min Aggregation.
• [116] Elasticsearch-Referenz: Max Aggregation.
• [117] Elasticsearch-Referenz: Sum Aggregation.
• [118] Elasticsearch-Referenz: Value Count Aggregation.
• [119] Elasticsearch-Referenz: Scripted Metric Aggregation.
• [120] Elasticsearch-Referenz: Geo Bounds Aggregation.
• [121] Karel Minaˇrík. Playing HTTP Tricks with Nginx.
• [122] Shield | Security for Elasticsearch.
• [123] Projektseite Jackson.
• [124] Projektseite Jest.
• [125] Projektseite Spring Data Elasticsearch.
• [126] Projektseite Elastisch.
• [127] JavaScript Client.
• [128] Elasticsearch-Clients, Community Supported Clients.
• [129] Honza Král, Karel Minaˇrík und Zachary Tong. All About Elasticsearch Language Clients.
• [130] Lucene-Wiki: Java Bugs in various JVMs affecting Lucene / Solr.
• [131] Elasticsearch-Referenz: Setup.
• [132] Elasticsearch-Referenz: Directory Layout.
• [133] Elasticsearch-Referenz: Repositories.
• [134] Elasticsearch-Referenz: Running As a Service on Linux.
• [135] Elasticsearch-Referenz: Running as a Service on Windows.
• [136] Projektseite Elasticsearch Puppet module.
• [137] Projektseite Chef cookbook for Elasticsearch.
• [138] Elasticsearch-Referenz: Upgrading.
• [139] Peter Kim. Hardware sizing or “How many servers do I *really* need?”.
• [140] Uwe Schindler. Use Lucene’s MMapDirectory on 64bit platforms, please!
• [141] Fabian Lange. Why 35GB Heap is Less Than 32GB – Java JVM Memory Oddities.
• [142] Martin Thompson. Java Garbage Collection Distilled.
• [143] Elasticsearch-Referenz: Configuration.
• [144] Clinton Gormley und Zachary Tong. Elasticsearch: The Definitive Guide, Production Deployment.
• [145] Alex Brasetvik. Sizing Elasticsearch.
• [146] Alex Brasetvik. Elasticsearch in Production.
• [147] Patrick Peschlow. Elasticsearch Indexing Performance Cheatsheet.
• [148] Patrick Peschlow. Two Years of Elasticsearch in Development and Production.
• [149] Stefan Thies. 10 Elasticsearch metrics to watch.
• [150] Elasticsearch-Referenz: Shard query cache.
• [151] Clinton Gormley und Zachary Tong. Elasticsearch: The Definitive Guide, Fielddata Filtering.
• [152] Elasticsearch-Referenz: Field data.
• [153] Elasticsearch-Referenz: Nodes Stats.
• [154] Elasticsearch-Referenz: cat APIs.
• [155] Elasticsearch-Referenz: cat health.
• [156] Elasticsearch-Referenz: cat nodes.
• [157] Patrick Peschlow. Elasticsearch Monitoring and Management Plugins.
• [158] Elasticsearch-Referenz: Snapshot And Restore.
• [159] Konrad G. Beiske. Snapshot and Restore.
• [160] Splunk.
• [161] Logstash Reference.
• [162] Apache httpd documentation, Combined Log Format.
• [163] Grok-Patterns.
• [164] Grok Debugger.
• [165] Logstash-Referenz: mutate.
• [166] GeoLite Legacy Downloadable Databases.
• [167] Logstash-Referenz: geoip.
• [168] Logstash-Referenz: Output plugins.
• [169] Logstash-Referenz: elasticsearch.
• [170] Projektseite logstash-forwarder.
• [171] Jose Diaz-Gonzalez. Projektseite Beaver.
• [172] NXLog Community Edition.
• [173] Projektseite Awesant.
• [174] Beaver Docs: Installation.
• [175] Beaver Docs: Usage.
• [176] Logstash-Referenz: redis.
• [177] Projektseite log4j-jsonevent-layout.
• [178] Projektseite logstash-logback-encoder.
• [179] Aaron Mildenstein. Getting Apache to output JSON (for logstash 1.2.x).
• [180] Curator Documentation Wiki.
• [181] Aaron Mildenstein. Elasticsearch Curator – Version 1.1.0 Released.
• [182] Lennart Koopmann. Official Graylog virtual machine appliances.
• [183] GELF | Graylog Extended Log Format.
• [184] Data Sources.
• [185] Logstash-Referenz: gelf.
• [186] Watcher | Alerting for Elasticsearch.
• [187] rsyslog.
• [188] syslog-ng.
• [189] Elasticsearch-Referenz: Percolator.
• [190] Elasticsearch-Referenz: Tribe node.
• [191] Elasticsearch for Hadoop | Immediate Insight Into Your Big Data.
• [192] Beats | Collect, Parse & Ship.
• [193] Simon Willnauer Clinton Gormley. What’s Next for Elasticsearch: 2.x and Beyond.
• [194] Zachary Tong Clinton Gormley. Elasticsearch - The Definitive Guide. O’Reilly Media.
• [195] Elasticsearch-Referenz.
• [196] elastic Blog.
• [197] Projektseite stream2es.
• [198] Christian Uhl. Elasticsearch Zero Downtime Reindexing – Problems and Solutions.
• [199] Projektseite Twitter River Plugin for elasticsearch.