Filter data using nodejs and elasticsearch - node.js

Question

I'm currently facing an issue with my datatable implemented in ReactJS. I'm retrieving data from elasticsearch and populating the datatable with it. The data retrieval process works fine without the filter applied, however, when I apply filters to the data, the datatable remains empty, even though the data _source has matching records.
The structure of the parameters I am sending is as follows:
{
pageIndex: 1,
pageSize: 10,
sort: { order: '', key: '' },
query: '',
filterData: {
analysis: [ '0', '1', '2', '3' ],
threat_level_id: [ '1', '2', '3', '4' ],
}
}
EndPoint:
POST /api/v1/events/public/list
Controller:
exports.getPublicEvents = async (req, res) => {
try {
client.ping()
const { pageIndex, pageSize, sort, query, filterData } = req.body
let esQuery = {
index: 'ns_*',
body: {
query: {
bool: {
must: [
{
match_all: {},
},
],
filter: [],
},
},
from: (pageIndex - 1) * pageSize,
size: pageSize,
},
}
if (query) {
esQuery.body.query.bool.must = [
{
match: {
'Event.info': {
query: query,
fuzziness: 'AUTO',
},
},
},
]
}
if (filterData.analysis.length > 0) {
esQuery.body.query.bool.filter.push({
terms: {
'Event.analysis': filterData.analysis,
},
})
}
if (filterData.threat_level_id.length > 0) {
esQuery.body.query.bool.filter.push({
terms: {
'Event.threat_level_id': filterData.threat_level_id,
},
})
}
let esResponse = await client.search(esQuery)
let data = esResponse.hits.hits.map((hit) => hit._source)
let total = esResponse.hits.total.value
res.status(200).json({
status: 'success',
data: data,
total: total,
})
} catch (error) {
res.status(500).json({
error: 'Error connecting to Elasticsearch',
errorMessage: error.message,
})
}
}
The controller below is without filters and it works just fine.
exports.getPublicEvents = async (req, res) => {
try {
client.ping()
const { pageIndex, pageSize, sort, query } = req.body
let esQuery = {
index: 'ns_*',
body: {
query: {
match_all: {},
},
from: (pageIndex - 1) * pageSize,
size: pageSize,
},
}
if (query) {
esQuery.body.query = {
match: {
'Event.info': {
query: query,
fuzziness: 'AUTO',
},
},
}
}
let esResponse = await client.search(esQuery)
let data = esResponse.hits.hits.map((hit) => hit._source)
let total = esResponse.hits.total.value
res.status(200).json({
status: 'success',
data: data,
total: total,
})
} catch (error) {
res.status(500).json({
error: 'Error connecting to Elasticsearch',
errorMessage: error.message,
})
}
}
ElasticSearech version: 7.17.8
Result of: console.log(JSON.stringify(esQuery))
{
"index": "INDEX_NAME",
"body": {
"query": {
"bool": {
"must": [{ "match_all": {} }],
"filter": [
{ "terms": { "Event.analysis": ["0", "1", "2"] } },
{ "terms": { "Event.threat_level_id": ["1", "2", "3", "4"] } }
]
}
},
"from": 0,
"size": 10
}
}
Data in elascticsearch schema
{
"#version": "1",
"#timestamp": "2023-02-01T14:43:09.997Z",
"Event": {
"info": ".......................",
"description": ".......................",
"analysis": 0,
"threat_level_id": "4",
"created_at": 1516566351,
"uuid": "5a64f74f0e543738c12bc973322",
"updated_at": 1675262417
}
}
Index Mapping
{
"index_patterns": ["INDEX_NAME"],
"template": "TEMPLATE_NAME",
"settings": {
"number_of_replicas": 0,
"index.mapping.nested_objects.limit": 10000000
},
"mappings": {
"dynamic": false,
"properties": {
"#timestamp": {
"type": "date"
},
"Event": {
"type": "nested",
"properties": {
"date_occured": {
"type": "date"
},
"threat_level_id": {
"type": "integer"
},
"description": {
"type": "text"
},
"is_shared": {
"type": "boolean"
},
"analysis": {
"type": "integer"
},
"uuid": {
"type": "text"
},
"created_at": {
"type": "date"
},
"info": {
"type": "text"
},
"shared_with": {
"type": "nested",
"properties": {
"_id": {
"type": "text"
}
}
},
"updated_at": {
"type": "date"
},
"author": {
"type": "text"
},
"Attributes": {
"type": "nested",
"properties": {
"data": {
"type": "text"
},
"type": {
"type": "text"
},
"uuid": {
"type": "text"
},
"comment": {
"type": "text"
},
"category": {
"type": "text"
},
"value": {
"type": "text"
},
"timestamp": {
"type": "date"
}
}
},
"organisation": {
"type": "nested",
"properties": {
"name": {
"type": "text"
},
"uuid": {
"type": "text"
}
}
},
"Tags": {
"type": "nested",
"properties": {
"color": {
"type": "text"
},
"name": {
"type": "text"
}
}
},
"TLP": {
"type": "nested",
"properties": {
"color": {
"type": "text"
},
"name": {
"type": "text"
}
}
}
}
}
}
}
}

Answer 1

Event is a nested field, so you need to use nested queries, like this:
{
"index": "INDEX_NAME",
"body": {
"query": {
"bool": {
"must": [{ "match_all": {} }],
"filter": [
{
"nested": {
"path": "Event",
"query": {"terms": { "Event.analysis": ["0", "1", "2"] }}
}
},
{
"nested": {
"path": "Event",
"query": {"terms": { "Event.threat_level_id": ["1", "2", "3", "4"] }}
}
}
]
}
},
"from": 0,
"size": 10
}
}