Data visualization with elasticsearch aggregations and d3 explaining

Elastic Stack Elasticsearch
1

Hi guys, i want to build graph using d3 and query from elassticsearch, but
anyone here tell me what exactly mean by this code ?

client.search({
index: 'nfl',
size: 5,
body: {
// Begin query.
query: {
// Boolean query for matching and excluding items.
bool: {
must: {
match: {
"description": "TOUCHDOWN"
// "season": "2012"
}
},
must_not: { match: { "qtr": 5 }}
}
},
// Aggregate on the results
aggs: {
touchdowns: {
terms: {
field: "qtr",
order: { "_term" : "asc" }
}
}
}
// End query.
}

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2

You really need to go over the query documentation first, there are plenty
of good examples and tutorials that will guide you and help you understand
your snippet.

I gather you understand the query part, the aggregation part (there are
lots of docs) shows the frequency (count) of touchdowns on field "qtr".

You really need to dive into the docs :slight_smile:

On Thursday, December 4, 2014 2:00:56 AM UTC-5, Mohd Syafiq wrote:

Hi guys, i want to build graph using d3 and query from elassticsearch, but
anyone here tell me what exactly mean by this code ?

client.search({
index: 'nfl',
size: 5,
body: {
// Begin query.
query: {
// Boolean query for matching and excluding items.
bool: {
must: {
match: {
"description": "TOUCHDOWN"
// "season": "2012"
}
},
must_not: { match: { "qtr": 5 }}
}
},
// Aggregate on the results
aggs: {
touchdowns: {
terms: {
field: "qtr",
order: { "_term" : "asc" }
}
}
}
// End query.
}

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