Stefanietry opened a new issue, #8087: URL: https://github.com/apache/paimon/issues/8087
### Search before asking - [x] I searched in the [issues](https://github.com/apache/paimon/issues) and found nothing similar. ### Paimon version 708ea8fc ### Compute Engine spark version: 3.2 ### Minimal reproduce step 1. create vector table `CREATE TABLE test_db.test_table(gid BIGINT, sid STRING, embs ARRAY<FLOAT>) PARTITIONED BY (`date` STRING COMMENT 'date') ROW FORMAT SERDE 'org.apache.paimon.hive.PaimonSerDe' WITH SERDEPROPERTIES ('serialization.format'='1') STORED AS INPUTFORMAT 'org.apache.paimon.hive.mapred.PaimonInputFormat' OUTPUTFORMAT 'org.apache.paimon.hive.mapred.PaimonOutputFormat' TBLPROPERTIES ( 'file.format' = 'parquet', 'vector.file.format'='lance', 'vector-field'='embs', 'field.embs.vector-dim'='4', 'row-tracking.enabled'='true', 'data-evolution.enabled'='true', 'global-index.enabled' = 'true' );` 2. load data `insert overwrite table test_db.test_table VALUES (1, '1', array(cast(1.0 as float), cast(2.0 as float), cast(3.0 as float), cast(4.0 as float)) '20260420');` 3. proceess a query select gid, sid, embs from test_db.test_table where date = '20260422' limit 10 4. fail build paimon scan <img width="2170" height="664" alt="Image" src="https://github.com/user-attachments/assets/bd266c73-9705-4194-a33d-acd87493f92a"; /> ### What doesn't meet your expectations? Process vector search with spark3.2 ### Anything else? _No response_ ### Are you willing to submit a PR? - [x] I'm willing to submit a PR! -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
