Connect Unified Analytics (Presto) to Ezmeral Data Fabric using Hive Parquet connector

[RCCardoso]

Hi, I'm wondering what I'm doing wrong. I got a big CSV and converted it to parquet using Python Pandas and Numpy. Then I upload it to Object Storage on Data Fabric and read it using Hive Connector from Unified Analytics. The problem is... when I use a smal sample of file it works well but when I try with a larger sample (but not too large... around 100 MB) I got this problem:

Query failed (#20240612_164659_00147_ekmiu): can not read class org.apache.parquet.format.PageHeader: Required field 'uncompressed_page_size' was not found in serialized data! Struct: org.apache.parquet.format.PageHeader$PageHeaderStandardScheme@30b217e0

Always this 'uncompressed_page_size' stuff. I'm wondering if I need to customize something in the Presto Pod configuration.

[support_s]

System recommended content:

1. HPE Ezmeral Unified Analytics Software 1.2 Documentation | Hive Connection Parameters

2. HPE Ezmeral Unified Analytics Software 1.3 Documentation | Hive Connection Parameters

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[mitcheljohns]

Connecting Unified Analytics Presto to Ezmeral Data Fabric involves configuring Presto to access data stored in Ezmeral's distributed file system. This integration enables advanced analytics on large datasets, leveraging Presto's SQL querying capabilities with Ezmeral's robust data management. Follow the connection setup guide, configure the necessary connectors, and ensure proper authentication to facilitate seamless and efficient data analysis across the platforms.