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Fix Integration test flakiness in HoodieJavaStreamingApp (#1967)

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This commit is contained in:
Balaji Varadarajan
2020-08-14 01:42:15 -07:00
committed by GitHub
parent 9bde6d616c
commit b8f4a30efd
5 changed files with 37 additions and 21 deletions
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4
hudi-spark/src/test/java/HoodieJavaApp.java
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@@ -16,6 +16,7 @@
* limitations under the License.
*/
import org.apache.hadoop.fs.Path;
import org.apache.hudi.DataSourceReadOptions;
import org.apache.hudi.DataSourceWriteOptions;
import org.apache.hudi.HoodieDataSourceHelpers;
@@ -120,6 +121,9 @@ public class HoodieJavaApp {
dataGen = new HoodieTestDataGenerator();
}
// Explicitly clear up the hoodie table path if it exists.
fs.delete(new Path(tablePath), true);
/**
* Commit with only inserts
*/

4
hudi-spark/src/test/java/HoodieJavaStreamingApp.java
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@@ -273,7 +273,9 @@ public class HoodieJavaStreamingApp {
public int addInputAndValidateIngestion(SparkSession spark, FileSystem fs, String srcPath,
int initialCommits, int expRecords,
Dataset<Row> inputDF1, Dataset<Row> inputDF2, boolean instantTimeValidation) throws Exception {
inputDF1.write().mode(SaveMode.Append).json(srcPath);
// Ensure, we always write only one file. This is very important to ensure a single batch is reliably read
// atomically by one iteration of spark streaming.
inputDF1.coalesce(1).write().mode(SaveMode.Append).json(srcPath);
int numExpCommits = initialCommits + 1;
// wait for spark streaming to process one microbatch