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|
// This file is autogenerated, DO NOT EDIT
// mapping/types/sparse-vector.asciidoc:63
[source, python]
----
resp = client.indices.create(
index="my-index-000001",
mappings={
"properties": {
"text": {
"type": "text",
"analyzer": "standard"
},
"impact": {
"type": "sparse_vector"
},
"positive": {
"type": "sparse_vector"
},
"negative": {
"type": "sparse_vector"
}
}
},
)
print(resp)
resp1 = client.index(
index="my-index-000001",
document={
"text": "I had some terribly delicious carrots.",
"impact": [
{
"I": 0.55,
"had": 0.4,
"some": 0.28,
"terribly": 0.01,
"delicious": 1.2,
"carrots": 0.8
},
{
"I": 0.54,
"had": 0.4,
"some": 0.28,
"terribly": 2.01,
"delicious": 0.02,
"carrots": 0.4
}
],
"positive": {
"I": 0.55,
"had": 0.4,
"some": 0.28,
"terribly": 0.01,
"delicious": 1.2,
"carrots": 0.8
},
"negative": {
"I": 0.54,
"had": 0.4,
"some": 0.28,
"terribly": 2.01,
"delicious": 0.02,
"carrots": 0.4
}
},
)
print(resp1)
resp2 = client.search(
index="my-index-000001",
query={
"term": {
"impact": {
"value": "delicious"
}
}
},
)
print(resp2)
----
|
