Conversion from sql to elastic search query - mysql

Question

I want to convet the foll. sql query to elastic json query
select count(distinct(fk_id)),city_id from table
where status1 != "xyz" and satus2 = "abc" and
cr_date >="date1" and cr_date<="date2" group by city_id
Also is there any way of writing nested queries in elastic.
select * from table where status in (select status from table2)

Answer 1

The first query can be translated like this in the Elasticsearch query DSL:
curl -XPOST localhost:9200/table/_search -d '{
"size": 0,
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"status2": "abc"
}
},
{
"range": {
"cr_date": {
"gt": "date1", <--- don't forget to change the date
"lt": "date2" <--- don't forget to change the date
}
}
}
],
"must_not": [
{
"term": {
"status1": "xyz"
}
}
]
}
}
}
},
"aggs": {
"by_cities": {
"terms": {
"field": "city_id"
},
"aggs": {
"fk_count": {
"cardinality": {
"field": "fk_id"
}
}
}
}
}
}'

Answer 2

Using Sql API In Elastic search, we can write queries and also we can translate them to elastic query
POST /_sql/translate
{
"query": "SELECT * FROM customer where address.Street='JanaChaitanya Layout' and Name='Pavan Kumar'"
}
Response for this is
{
"size" : 1000,
"query" : {
"bool" : {
"must" : [
{
"term" : {
"address.Street.keyword" : {
"value" : "JanaChaitanya Layout",
"boost" : 1.0
}
}
},
{
"term" : {
"Name.keyword" : {
"value" : "Pavan Kumar",
"boost" : 1.0
}
}
}
],
"adjust_pure_negative" : true,
"boost" : 1.0
}
},
"_source" : {
"includes" : [
"Name",
"address.Area",
"address.Street"
],
"excludes" : [ ]
},
"docvalue_fields" : [
{
"field" : "Age"
}
],
"sort" : [
{
"_doc" : {
"order" : "asc"
}
}
]
}
Now we can use this result to query elastic search
For further details please go through this article
https://xyzcoder.github.io/elasticsearch/2019/06/25/making-use-of-sql-rest-api-in-elastic-search-to-write-queries-easily.html