nsivabalan commented on code in PR #6615:
URL: https://github.com/apache/hudi/pull/6615#discussion_r972355172
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hudi-examples/hudi-examples-spark/src/main/java/org/apache/hudi/examples/quickstart/HoodieSparkQuickstart.java:
##########
@@ -65,30 +66,47 @@ public static void main(String[] args) {
public static void runQuickstart(JavaSparkContext jsc, SparkSession spark,
String tableName, String tablePath) {
final HoodieExampleDataGenerator<HoodieAvroPayload> dataGen = new
HoodieExampleDataGenerator<>();
- insertData(spark, jsc, tablePath, tableName, dataGen);
+ String snapshotQuery = "SELECT begin_lat, begin_lon, driver, end_lat,
end_lon, fare, partitionpath, rider, ts, uuid FROM hudi_ro_table";
+
+ Dataset<Row> insertDf = insertData(spark, jsc, tablePath, tableName,
dataGen);
queryData(spark, jsc, tablePath, tableName, dataGen);
+ assert insertDf.except(spark.sql(snapshotQuery)).count() == 0;
- updateData(spark, jsc, tablePath, tableName, dataGen);
+ Dataset<Row> snapshotBeforeUpdate = spark.sql(snapshotQuery);
+ Dataset<Row> updateDf = updateData(spark, jsc, tablePath, tableName,
dataGen);
queryData(spark, jsc, tablePath, tableName, dataGen);
+ assert spark.sql(snapshotQuery).intersect(updateDf).count() ==
updateDf.count();
+ assert
spark.sql(snapshotQuery).except(updateDf).except(snapshotBeforeUpdate).count()
== 0;
incrementalQuery(spark, tablePath, tableName);
pointInTimeQuery(spark, tablePath, tableName);
- delete(spark, tablePath, tableName);
+ Dataset<Row> snapshotBeforeDelete = spark.sql(snapshotQuery);
+ Dataset<Row> deleteDf = delete(spark, tablePath, tableName);
queryData(spark, jsc, tablePath, tableName, dataGen);
+ assert spark.sql(snapshotQuery).intersect(deleteDf).count() == 0;
+ assert
snapshotBeforeDelete.except(deleteDf).except(spark.sql(snapshotQuery)).count()
== 0;
Review Comment:
wherever you are calling spark.sql(snapshot) more than twice, lets save it
to a dataset, cache and reuse. if not, it will trigger the compute repeatedly
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