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[8.7] Adds size parameter to the reindex commands in the NLP examples (backport #2435) #2437

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Jun 14, 2023
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[8.7] Adds size parameter to the reindex commands in the NLP examples (backport #2435) #2437

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8 changes: 4 additions & 4 deletions docs/en/stack/ml/nlp/ml-nlp-inference.asciidoc
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Original file line number Diff line number Diff line change
Expand Up @@ -232,7 +232,7 @@ POST _reindex
{
"source": {
"index": "kibana_sample_data_logs",
"size": 500
"size": 50
},
"dest": {
"index": "lang-test",
Expand All @@ -245,9 +245,9 @@ POST _reindex
However, those web log messages are unlikely to contain enough words for the
model to accurately identify the language.

TIP: Set the reindex `size` option to a value
smaller than the `queue_capacity` for the trained model deployment. Otherwise, requests might be rejected
with a "too many requests" 429 error code.
TIP: Set the reindex `size` option to a value smaller than the `queue_capacity`
for the trained model deployment. Otherwise, requests might be rejected with a
"too many requests" 429 error code.

[discrete]
[[ml-nlp-inference-discover]]
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6 changes: 5 additions & 1 deletion docs/en/stack/ml/nlp/ml-nlp-ner-example.asciidoc
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Expand Up @@ -216,14 +216,18 @@ you created:
POST _reindex
{
"source": {
"index": "les-miserables"
"index": "les-miserables",
"size": 50 <1>
},
"dest": {
"index": "les-miserables-infer",
"pipeline": "ner"
}
}
--------------------------------------------------
<1> The default batch size for reindexing is 1000. Reducing `size` to a smaller
number makes the update of the reindexing process quicker which enables you to
follow the progress closely and detect errors early.

Take a random paragraph from the source document as an example:

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6 changes: 5 additions & 1 deletion docs/en/stack/ml/nlp/ml-nlp-text-emb-vector-search-example.asciidoc
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Expand Up @@ -227,14 +227,18 @@ ingest processor inserts the embedding vector into each document.
POST _reindex?wait_for_completion=false
{
"source": {
"index": "collection"
"index": "collection",
"size": 50 <1>
},
"dest": {
"index": "collection-with-embeddings",
"pipeline": "text-embeddings"
}
}
--------------------------------------------------
<1> The default batch size for reindexing is 1000. Reducing `size` to a smaller
number makes the update of the reindexing process quicker which enables you to
follow the progress closely and detect errors early.

The API call returns a task ID that can be used to monitor the progress:

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