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https://issues.apache.org/jira/browse/HIVE-15519?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15832098#comment-15832098
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Thejas M Nair commented on HIVE-15519:
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+1 to the v6 patch.
For branch-1, it looks like that test results for it are practically useless.
We need to fix that to be able to continue to add patches there.
Since this change is to service module, can you at least run the service and
jdbc packages and new test case under serde locally before commit ?
> BitSet not computed properly for ColumnBuffer subset
> ----------------------------------------------------
>
> Key: HIVE-15519
> URL: https://issues.apache.org/jira/browse/HIVE-15519
> Project: Hive
> Issue Type: Bug
> Components: Hive, JDBC
> Reporter: Bharat Viswanadham
> Assignee: Rui Li
> Priority: Critical
> Attachments: data_type_test(1).txt, HIVE-15519.1.patch,
> HIVE-15519.2.patch, HIVE-15519.3.patch, HIVE-15519.4.patch,
> HIVE-15519.5-branch-1.patch, HIVE-15519.6.patch
>
>
> Hive decimal type column precision is returning as zero, even though column
> has precision set.
> Example: col67 decimal(18,2) scale is returning as zero for that column.
> Tried with below program.
> {code}
> System.out.println("Opening connection");
> Class.forName("org.apache.hive.jdbc.HiveDriver");
> Connection con =
> DriverManager.getConnection("jdbc:hive2://x.x.x.x:10000/default");
> DatabaseMetaData dbMeta = con.getMetaData();
> ResultSet rs = dbMeta.getColumns(null, "DEFAULT", "data_type_test",null);
> while (rs.next()) {
> if (rs.getString("COLUMN_NAME").equalsIgnoreCase("col48") ||
> rs.getString("COLUMN_NAME").equalsIgnoreCase("col67") ||
> rs.getString("COLUMN_NAME").equalsIgnoreCase("col68") ||
> rs.getString("COLUMN_NAME").equalsIgnoreCase("col122")){
> System.out.println(rs.getString("COLUMN_NAME") + "\t" +
> rs.getString("COLUMN_SIZE") + "\t" + rs.getInt("DECIMAL_DIGITS"));
> }
> }
> rs.close();
> con.close();
> } catch (Exception e) {
> e.printStackTrace();
> ;
> }
> {code}
> Default fetch size is 50. if any column no is under 50 with decimal type,
> precision is returning properly, when the column no is greater than 50, scale
> is returning as zero.
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