Skip to content

Unable to read date format columns (int96 type) from avro-parquet sch… #23

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 2 commits into
base: main
Choose a base branch
from
Open

Unable to read date format columns (int96 type) from avro-parquet sch… #23

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
09429a3
Unable to read date format columns (int96 type) from avro-parquet sch…
jeremihas-caruso Mar 25, 2024
51a36d8
Missing impot
jeremihas-caruso Mar 25, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 6 additions & 1 deletion src/main/java/com/databricks/labs/delta/sharing/java/format/parquet/TableReader.java
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
package com.databricks.labs.delta.sharing.java.format.parquet;

import org.apache.hadoop.conf.Configuration;
import org.apache.parquet.avro.AvroParquetReader;
import org.apache.parquet.hadoop.ParquetReader;

Expand Down Expand Up @@ -98,10 +99,14 @@ public List<T> readN(Integer num) throws IOException {
*/
private List<ParquetReader<T>> getReaders() throws IOException {
List<ParquetReader<T>> readers = new LinkedList<>();
Configuration conf = new Configuration();

conf.set("parquet.avro.readInt96AsFixed", "true");

for (Path path : paths) {
LocalInputFile localInputFile = new LocalInputFile(path);
ParquetReader<T> reader =
AvroParquetReader.<T>builder(localInputFile).build();
AvroParquetReader.<T>builder(localInputFile).withConf(conf).build();
readers.add(reader);
}
return readers;
Expand Down