Details
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Bug
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Status: Resolved
-
Major
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Resolution: Fixed
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1.4.0
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None
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Spark 2.1, Presto 0.187
Description
Scenario - carbon-data Table 'load_table' with columns 'integer', 'datetime'
//table creation and load code (spark)
val random = new Random()
val df = spark.sparkContext.parallelize(1 to (365 * 24 * 360))
.map(x => (random.nextInt(200), new Timestamp(currentMillis - (x * 1000l))))
.toDF("integer", "datetime")
// Saves dataframe to carbondata file
df.write.format("carbondata")
.option("tableName", "load_table")
.option("compress", "true")
.option("tempCSV", "false")
.mode(SaveMode.Overwrite)
.save()
SQL (through Presto CLI) - select * from load_table where integer < 10 or integer > 50;
Actual result - 0 rows.
Expected result - rows with integer value less than 10 and greater than 50.
cause - PrestoFilterUtil is creating AND Expressions.
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