Using multi_match with Elasticsearch bulk scan in Python
up vote
0
down vote
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I'm trying to use the multi_match functionality within Elasticsearch using the elasticsearch-py library.
Setting it up like this:
res = helpers.scan(es, index="allcomms", query = {
"multi_match" : {
"query": 'multiple terms',
"fields": ["text"]
}})
I get:
RequestError: RequestError(400, 'parsing_exception', 'Unknown key for
a START_OBJECT in [multi_match].')
Anyone know if there is a way to conduct this search using the Elasticsearch-py library?
Thanks!
python
elasticsearch elasticsearch-py edited Nov 9 at 19:37
Al Fahad
725821
asked Nov 9 at 19:16
Steven
435413
add a comment |
up vote
0
down vote
favorite
I'm trying to use the multi_match functionality within Elasticsearch using the elasticsearch-py library.
Setting it up like this:
res = helpers.scan(es, index="allcomms", query = {
"multi_match" : {
"query": 'multiple terms',
"fields": ["text"]
}})
I get:
RequestError: RequestError(400, 'parsing_exception', 'Unknown key for
a START_OBJECT in [multi_match].')
Anyone know if there is a way to conduct this search using the Elasticsearch-py library?
Thanks!
python
elasticsearch elasticsearch-py edited Nov 9 at 19:37
Al Fahad
725821
asked Nov 9 at 19:16
Steven
435413
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I'm trying to use the multi_match functionality within Elasticsearch using the elasticsearch-py library.
Setting it up like this:
res = helpers.scan(es, index="allcomms", query = {
"multi_match" : {
"query": 'multiple terms',
"fields": ["text"]
}})
I get:
RequestError: RequestError(400, 'parsing_exception', 'Unknown key for
a START_OBJECT in [multi_match].')
Anyone know if there is a way to conduct this search using the Elasticsearch-py library?
Thanks!
python
elasticsearch elasticsearch-py edited Nov 9 at 19:37
Al Fahad
725821
asked Nov 9 at 19:16
Steven
435413
I'm trying to use the multi_match functionality within Elasticsearch using the elasticsearch-py library.
Setting it up like this:
res = helpers.scan(es, index="allcomms", query = {
"multi_match" : {
"query": 'multiple terms',
"fields": ["text"]
}})
I get:
RequestError: RequestError(400, 'parsing_exception', 'Unknown key for
a START_OBJECT in [multi_match].')
Anyone know if there is a way to conduct this search using the Elasticsearch-py library?
Thanks!
python
elasticsearch elasticsearch-py python
elasticsearch elasticsearch-py edited Nov 9 at 19:37
Al Fahad
725821
asked Nov 9 at 19:16
Steven
435413
edited Nov 9 at 19:37
Al Fahad
725821
asked Nov 9 at 19:16
Steven
435413
edited Nov 9 at 19:37
Al Fahad
725821
edited Nov 9 at 19:37
Al Fahad
725821
edited Nov 9 at 19:37
Al Fahad
725821
725821
asked Nov 9 at 19:16
Steven
435413
asked Nov 9 at 19:16
Steven
435413
asked Nov 9 at 19:16
Steven
435413
435413
add a comment |
add a comment |
1 Answer
1
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oldest
votes
up vote
1
down vote
I think the query is not correct. Whenever we observe the parsing_exception then we need to first ensure that the query we have works via Kibana or Postman or any other RESTful client application pointing to the ES instance.
Your code has to be in the below format.
res = helpers.scan(es, index="allcomms", query = { "query" : {
"multi_match" : {
"query": "multiple terms",
"fields": ["text"]
}}})
Basically below is how your multi-match query would be
POST <your_index_name>/_search
{
"query":{
"multi_match":{
"query":"multiple terms",
"fields":[
"text"
]
}
}
}
Let me know if it helps!
answered Nov 10 at 12:40
Kamal
1,622820
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
I think the query is not correct. Whenever we observe the parsing_exception then we need to first ensure that the query we have works via Kibana or Postman or any other RESTful client application pointing to the ES instance.
Your code has to be in the below format.
res = helpers.scan(es, index="allcomms", query = { "query" : {
"multi_match" : {
"query": "multiple terms",
"fields": ["text"]
}}})
Basically below is how your multi-match query would be
POST <your_index_name>/_search
{
"query":{
"multi_match":{
"query":"multiple terms",
"fields":[
"text"
]
}
}
}
Let me know if it helps!
answered Nov 10 at 12:40
Kamal
1,622820
add a comment |
up vote
1
down vote
I think the query is not correct. Whenever we observe the parsing_exception then we need to first ensure that the query we have works via Kibana or Postman or any other RESTful client application pointing to the ES instance.
Your code has to be in the below format.
res = helpers.scan(es, index="allcomms", query = { "query" : {
"multi_match" : {
"query": "multiple terms",
"fields": ["text"]
}}})
Basically below is how your multi-match query would be
POST <your_index_name>/_search
{
"query":{
"multi_match":{
"query":"multiple terms",
"fields":[
"text"
]
}
}
}
Let me know if it helps!
answered Nov 10 at 12:40
Kamal
1,622820
add a comment |
up vote
1
down vote
up vote
1
down vote
I think the query is not correct. Whenever we observe the parsing_exception then we need to first ensure that the query we have works via Kibana or Postman or any other RESTful client application pointing to the ES instance.
Your code has to be in the below format.
res = helpers.scan(es, index="allcomms", query = { "query" : {
"multi_match" : {
"query": "multiple terms",
"fields": ["text"]
}}})
Basically below is how your multi-match query would be
POST <your_index_name>/_search
{
"query":{
"multi_match":{
"query":"multiple terms",
"fields":[
"text"
]
}
}
}
Let me know if it helps!
answered Nov 10 at 12:40
Kamal
1,622820
I think the query is not correct. Whenever we observe the parsing_exception then we need to first ensure that the query we have works via Kibana or Postman or any other RESTful client application pointing to the ES instance.
Your code has to be in the below format.
res = helpers.scan(es, index="allcomms", query = { "query" : {
"multi_match" : {
"query": "multiple terms",
"fields": ["text"]
}}})
Basically below is how your multi-match query would be
POST <your_index_name>/_search
{
"query":{
"multi_match":{
"query":"multiple terms",
"fields":[
"text"
]
}
}
}
Let me know if it helps!
answered Nov 10 at 12:40
Kamal
1,622820
edited Nov 10 at 12:55
answered Nov 10 at 12:40
Kamal
1,622820
answered Nov 10 at 12:40
Kamal
1,622820
answered Nov 10 at 12:40
Kamal
1,622820
1,622820
add a comment |
add a comment |
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