This is an automated email from the ASF dual-hosted git repository. noble pushed a commit to branch jira/solr16812-ref-guide in repository https://gitbox.apache.org/repos/asf/solr.git
commit 24fa8ba8de40501ced19cc71e2c5600c74815621 Author: Noble Paul <[email protected]> AuthorDate: Fri Jun 9 12:44:25 2023 +1000 python example --- .../modules/indexing-guide/indexing-nav.adoc | 1 + .../indexing-guide/pages/indexing-with-cbor.adoc | 79 ++++++++++++++++++++++ 2 files changed, 80 insertions(+) diff --git a/solr/solr-ref-guide/modules/indexing-guide/indexing-nav.adoc b/solr/solr-ref-guide/modules/indexing-guide/indexing-nav.adoc index 1f10acc9f83..532f56eb10c 100644 --- a/solr/solr-ref-guide/modules/indexing-guide/indexing-nav.adoc +++ b/solr/solr-ref-guide/modules/indexing-guide/indexing-nav.adoc @@ -51,6 +51,7 @@ * Indexing & Data Operations ** xref:indexing-with-update-handlers.adoc[] *** xref:transforming-and-indexing-custom-json.adoc[] +** xref:indexing-with-cbor.adoc[] ** xref:indexing-with-tika.adoc[] ** xref:indexing-nested-documents.adoc[] ** xref:post-tool.adoc[] diff --git a/solr/solr-ref-guide/modules/indexing-guide/pages/indexing-with-cbor.adoc b/solr/solr-ref-guide/modules/indexing-guide/pages/indexing-with-cbor.adoc new file mode 100644 index 00000000000..ec8a29ac914 --- /dev/null +++ b/solr/solr-ref-guide/modules/indexing-guide/pages/indexing-with-cbor.adoc @@ -0,0 +1,79 @@ += Indexing with Update CBOR data format + +Solr supports http://cbor.io/[CBOR] format for indexing as well as querying. It supports most popular languages and platforms. It's much faster and efficient compared to JSON. + +== Python example + +Save the following as `cbor_post.py` +[,python] +---- +import json +import requests +import cbor2 + +# JSON data to send (list of dictionaries) +json_data = [ + { + "id" : "1", + "name_s": "John Doe", + "age_i": 30, + "city_s": "New York" + }, + { + "id": "2", + "name_s": "Jane Smith", + "age_i": 25, + "city_s": "London" + } +] +# If there is only a single doc you can use the following +# json_data = { +# "id" : "6", +# "name_s": "John Doe", +# "age_i": 30, +# "city_s": "New York" +# } + + +# Convert JSON data to CBOR +cbor_data = cbor2.dumps(json_data) + +# Set the endpoint URL +# ensure that the collection 'coll1' is already created +url = "http://localhost:8983/solr/coll1/update/cbor?commit=true"; + +# Send a POST request with CBOR data +response = requests.post(url, data=cbor_data, headers={"Content-Type": "application/cbor"}) + +# Check the response status +if response.status_code == 200: + print("POST request sent successfully!") + print("Response Body:", response.text) +else: + print("Unexpected response status:", response.status_code) +---- + +=== Running the program + +To run the Python program mentioned above, you can follow these steps: + +1. Set up Python: Make sure you have Python installed on your system. +2. Ensure that the dependencies are installed + + pip install requests cbor2 + +3. Run the program + + python3 cbor_post.py + +4. Check the output + + POST request sent successfully! + Response Body: { + "responseHeader":{ + "rf":1, + "status":0, + "QTime":70 + } + } +
