i want to convert this sql query to elastic DSL query language
SELECT t.pk_c_c_s,
t.fk_c_c_id,
t.s_b_a,
t.datetime,
SUBSTR(t.datetime, 0, 7) m,
(
SELECT SUM(i.s_b_a) sarpu
FROM TBL_C_C_S i
WHERE substr(i.datetime, 0, 7) = substr(t.datetime, 0, 7)
AND i.datetime <= t.datetime
AND i.fk_c_c_id = t.fk_c_c_id
GROUP BY SUBSTR(i.datetime, 0, 7)
) s
FROM TBL_C_C_S t
how can i convert this sql query to elasticsearch
this is my way in elasticsearch
POST /c_c_s_index_test/_search
{ "size":0,
"aggs": {
"customer": {
"terms": {
"field": "fk_c_c_id",
"size": 5
},
"aggs": {
"sumscore": {
"sum": {
"field": "s_b_a"
}
},
"month": {
"date_histogram": {
"field": "datetime",
"interval": "1M",
"min_doc_count": 1
},
"aggs": {
"customer": {
"sum": {
"field": "s_b_a"
}
}
}
}
}
} ,
"stats_monthly_sales": {
"extended_stats_bucket": {
"buckets_path": "customer>sumscore"
}
}
}
but this just return sum of month and i.datetime<=t.datetime does not exists in this
Use your SQL skills to query data within Elasticsearch, harnessing the power of Elastic with a familiar language. Send your SQL queries via a CLI, REST endpoint, ODBC, or JDBC to get your results with newfound speed.
Elasticsearch provides a full Query DSL (Domain Specific Language) based on JSON to define queries. Think of the Query DSL as an AST (Abstract Syntax Tree) of queries, consisting of two types of clauses: Leaf query clauses.
1. Elasticsearch : Elasticsearch is a distributed search and analytics engine.It is open source and can be used for all types of data.It is implemented in Java programming language and supports all operating systems having java virtual machines (J.V.M).
What you probably need is cumulative sum aggregation: https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-pipeline-cumulative-sum-aggregation.html
So your query should look as follows:
{
"size": 0,
"aggs": {
"customer": {
"terms": {
"field": "fk_c_c_id",
"size": 5
},
"aggs": {
"sales_per_month": {
"date_histogram": {
"field": "datetime",
"interval": "month"
},
"aggs": {
"sales": {
"sum": {
"field": "s_b_a"
}
},
"cumulative_sales": {
"cumulative_sum": {
"buckets_path": "sales"
}
}
}
}
}
}
}
}
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