I've been trying to figure out how to correctly request data from elasticsearch using a jQuery AJAX call. I either get an parsing error or I'll get every document in the index I'm searching under.
$(document).ready(function() {
var timer = null;
function dicom_search() {
var box = $('#s_box').val();
$.ajax({
url: 'http://localhost:9200/dicoms/dicoms/_search',
type: 'POST',
//contentType: 'application/json; charset=UTF-8',
crossDomain: true,
dataType: 'json',
data: {
query:{match:{_all:$('#s_box').val()}},
pretty: true,
fields: '_id'
},
success: function(response) {
var data = response.hits.hits;
var doc_ids = [];
var source = null;
var content = '';
if (data.length > 0) {
for (var i = 0; i < data.length; i++) {
source = data[i].fields;
doc_ids.push(source._id);
content = content + ' ' + source._id + '<br />';
}
$('#res').removeClass('text-error').addClass('text-success').html(content);
} else {
$('#res').removeClass('text-success').addClass('text-error').html('No results found.');
}
}
});
}
$('#s_box').live('keyup', function() {
if (timer) {
clearTimeout(timer);
}
timer = setTimeout(dicom_search, 600);
});
});
Here is my error:
{
"error":"SearchPhaseExecutionException[Failed to execute phase [query], total failure; shardFailures {[GUiivW0TQVSNv2HQyxu8Vw][dicoms][0]: SearchParseException[[dicoms][0]: from[-1],size[-1]: Parse Failure [Failed to parse source [_na_]]]; nested: ElasticSearchParseException[Failed to derive xcontent from org.elasticsearch.common.bytes.ChannelBufferBytesReference@779479bb]; }{[GUiivW0TQVSNv2HQyxu8Vw][dicoms][3]: SearchParseException[[dicoms][3]: from[-1],size[-1]: Parse Failure [Failed to parse source [_na_]]]; nested: ElasticSearchParseException[Failed to derive xcontent from org.elasticsearch.common.bytes.ChannelBufferBytesReference@779479bb]; }{[GUiivW0TQVSNv2HQyxu8Vw][dicoms][1]: SearchParseException[[dicoms][1]: from[-1],size[-1]: Parse Failure [Failed to parse source [_na_]]]; nested: ElasticSearchParseException[Failed to derive xcontent from org.elasticsearch.common.bytes.ChannelBufferBytesReference@779479bb]; }{[GUiivW0TQVSNv2HQyxu8Vw][dicoms][4]: SearchParseException[[dicoms][4]: from[-1],size[-1]: Parse Failure [Failed to parse source [_na_]]]; nested: ElasticSearchParseException[Failed to derive xcontent from org.elasticsearch.common.bytes.ChannelBufferBytesReference@779479bb]; }{[GUiivW0TQVSNv2HQyxu8Vw][dicoms][2]: SearchParseException[[dicoms][2]: from[-1],size[-1]: Parse Failure [Failed to parse source [_na_]]]; nested: ElasticSearchParseException[Failed to derive xcontent from org.elasticsearch.common.bytes.ChannelBufferBytesReference@779479bb]; }]",
"status":500
}
EDIT: I figured it out:
var data = {
query: {
match: {
_all: $('#s_box').val()
}
},
fields: '_id'
};
$.ajax({
url: 'http://localhost:9200/dicoms/dicoms/_search',
type: 'POST',
//contentType: 'application/json; charset=UTF-8',
crossDomain: true,
dataType: 'json',
data: JSON.stringify(data),
success: function(response) {
var data = response.hits.hits;
var doc_ids = [];
var source = null;
var content = '';
if (data.length > 0) {
for (var i = 0; i < data.length; i++) {
source = data[i].fields;
doc_ids.push(source._id);
content = content + ' ' + source._id + '<br />';
}
$('#res').removeClass('text-error').addClass('text-success').html(content);
} else {
$('#res').removeClass('text-success').addClass('text-error').html('No results found.');
}
},
error: function(jqXHR, textStatus, errorThrown) {
var jso = jQuery.parseJSON(jqXHR.responseText);
error_note('section', 'error', '(' + jqXHR.status + ') ' + errorThrown + ' --<br />' + jso.error);
}
});
Elasticsearch is an advanced search engine with many features and its own query DSL. Before we can build a production search site, we would require more analysis on how to store and query our data and fine tuning queries but I hope this article helped you to learn the basics in examples.
You can use the q parameter to run a query parameter search. Query parameter searches do not support the full Elasticsearch Query DSL but are handy for testing. The q parameter overrides the query parameter in the request body. If both parameters are specified, documents matching the query request body parameter are not returned.
You can cancel a search request using the task management API. Elasticsearch also automatically cancels a search request when your client’s HTTP connection closes. We recommend you set up your client to close HTTP connections when a search request is aborted or times out.
If a query reaches this limit, Elasticsearch terminates the query early. Elasticsearch collects documents before sorting. Use with caution. Elasticsearch applies this parameter to each shard handling the request. When possible, let Elasticsearch perform early termination automatically.
You can have a look here: https://github.com/dadoonet/devoxxfr_demo/blob/gh-pages/index.html#L512
It could help you to solve your issue.
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