Neither Lucene, Elasticsearch, nor Solr provides out-of-the-box tools to identify content as dialogue. Suppose we are especially interested in the dialogue within these novels. We know that many of these books are novels. If your documents have a specific structure or type of content, you can take advantage of either to improve search quality and query capability.Īs an example of this sort of customization, in this Lucene tutorial we will index the corpus of Project Gutenberg, which offers thousands of free e-books. While Lucene’s configuration options are extensive, they are intended for use by database developers on a generic corpus of text. #APACHE LUCENE QUERY SYNTAX ANDROID#It can also be embedded into Java applications, such as Android apps or web backends. #APACHE LUCENE QUERY SYNTAX FULL#_facet notation.Apache Lucene is a Java library used for the full text search of documents, and is at the core of search servers such as Solr and Elasticsearch. You can also do an exact match search using an elastic search. Instead, consider doing a search on ordered tokens by quoting the search term. For example, the example below wouldn't work because it has been tokenized, even escaping escape the special characters: /HTTP/1.0/ You cannot do a regex on a single term that has been split into several tokens due to special characters or other rules. Regular expressions only work on single tokens when run on a full text search. The example below would find response times that are between 100ms and 500ms. syslog.host:frontend01 NOT syslog.host:frontend02 The example below would find log events that have, but not. syslog.host:frontend01 OR syslog.host:frontend02 The example below would find log events that have either a hostname of or. syslog.host:frontend01 AND logtype:apache The example below would find log events that have both a hostname of and a logtype of apache. The operator TO can be used with numeric values as well as words that have lowercase letters, for example, verity. A query term using the TO operator must take the form of. Used when searching for ranges of values. Loggly uses the Boolean operators AND, OR, and NOT as well as a final operator TO. When using more than one search term in your query, you’ll need to join them together with an operator. Terms can be combined together with Boolean operators to form a more complex query. Simple strings, such as foo and 867 phrases, or a local use 6 phrase can be entered directly into the search box. This way, you’ll see a full picture of what log data exists within Loggly. Leave the search box blank and click Search. Review the following sections below to start putting your data to work: Loggly’s search query language is based on Apache Lucene. How you navigate Loggly and access its features may vary from these instructions. Navigation Notice: When the APM Integrated Experience is enabled, Loggly shares a common navigation and enhanced feature set with other integrated experience products.
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