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https://issues.apache.org/jira/browse/DRILL-5851?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16285111#comment-16285111
]
ASF GitHub Bot commented on DRILL-5851:
---------------------------------------
Github user paul-rogers commented on a diff in the pull request:
https://github.com/apache/drill/pull/1059#discussion_r155939417
--- Diff:
exec/java-exec/src/test/java/org/apache/drill/exec/physical/impl/join/TestHashJoinAdvanced.java
---
@@ -160,4 +166,75 @@ public void testJoinWithMapAndDotField() throws
Exception {
.baselineValues("1", "2", "1", null, "a")
.go();
}
+
+ private void buildFile(String fileName, String[] data, File testDir)
throws IOException {
+ try(PrintWriter out = new PrintWriter(new FileWriter(new File(testDir,
fileName)))) {
+ for (String line : data) {
+ out.println(line);
+ }
+ }
+ }
+
+ @Test
+ public void testHashLeftJoinWithEmptyTable() throws Exception {
+ ClusterFixtureBuilder builder = ClusterFixture.builder(dirTestWatcher);
+ File testDir = null;
+ try {
+ ClusterFixture cluster = builder.build();
+ ClientFixture client = cluster.clientFixture();
--- End diff --
Please see ExampleTest for how the cluster and client should be created in
a try-with-resources block to ensure that things are closed.
Also, each cluster is started with the same parameters. The use of
`ClusterTest` will allow you to start the cluster once, then reuse it for
multiple test; which will speed up test cycle times.
> Empty table during a join operation with a non empty table produces cast
> exception
> -----------------------------------------------------------------------------------
>
> Key: DRILL-5851
> URL: https://issues.apache.org/jira/browse/DRILL-5851
> Project: Apache Drill
> Issue Type: Bug
> Components: Execution - Relational Operators
> Affects Versions: 1.11.0
> Reporter: Hanumath Rao Maduri
> Assignee: Hanumath Rao Maduri
>
> Hash Join operation on tables with one table empty and the other non empty
> throws an exception
> {code}
> Error: SYSTEM ERROR: DrillRuntimeException: Join only supports implicit casts
> between 1. Numeric data
> 2. Varchar, Varbinary data 3. Date, Timestamp data Left type: VARCHAR, Right
> type: INT. Add explicit casts to avoid this error
> {code}
> Here is an example query with which it is reproducible.
> {code}
> select * from cp.`sample-data/nation.parquet` nation left outer join
> dfs.tmp.`2.csv` as two on two.a = nation.`N_COMMENT`;
> {code}
> the contents of 2.csv is empty (i.e not even header info).
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