Spark Cassandra error with DateRangeType

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This question was closed Dec 14, 2020 at 06:01 AM by Erick Ramirez for the following reason: The question is answered, right answer was accepted

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landonvg_125049 asked · Sep 18, 2019 at 02:15 PM

Spark Cassandra error with DateRangeType

We added a DateRangeType field to a UDT, and now our Spark job that reads those records is failing with this error, running in AWS:

Exception in thread “main” java.util.NoSuchElementException: key not found: ‘org.apache.cassandra.db.marshal.DateRangeType’
   at scala.collection.MapLike$class.default(MapLike.scala:228

We are running on DSE 5.1.15. Here are the relevant dependencies:

    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_2.11</artifactId>
      <version>2.1.1</version>
      <scope>provided</scope>
    </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_2.11</artifactId>
      <classifier>sources</classifier>
    </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-sql_2.11</artifactId>
      <version>2.1.1</version>
      <scope>provided</scope>
    </dependency>
    <dependency>
      <groupId>com.datastax.client</groupId>
      <artifactId>dse-byos_2.11</artifactId>
      <version>5.1.10</version>
      <scope>provided</scope>
    </dependency>

Running locally, we get a different issue:

WARN  [dse-app-client-thread-pool-0] 2019-09-17 13:54:59,114  CodecRegistry.java:357 - Ignoring codec DateRangeCodec ['org.apache.cassandra.db.marshal.DateRangeType' <-> com.datastax.driver.dse.search.DateRange] because it collides with previously registered codec DateRangeCodec ['org.apache.cassandra.db.marshal.DateRangeType' <-> com.datastax.driver.dse.search.DateRange]

We can't find the DateRangeType class anywhere on our classpath. What do we need to do?

dse spark

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lingmaaki · Dec 14, 2020 at 05:59 AM

The NoSuchElementException in Java is thrown when one tries to access an iterable beyond its maximum limit. This means that, this exception is thrown by various accessor methods to indicate that the element being requested does not exist. The next() method in Java returns the next element in the iteration or NoSuchElementException if the iteration has no more elements. The solution to this exception is to check whether the next position of an iterable is filled or empty .

As with most programming languages, the Iterator class includes a hasNext() method that returns a boolean indicating if the iteration has anymore elements. If hasNext() returns true, then the next() method will return the next element in the iteration otherwise raise exceptions if the iteration has no more elements.

if(input.hasNextInt() )
     number1 = input.nextInt(); // if there is another number  
else 
     number1 = 0; // nothing added in the input

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Answer 1 · 2019-09-18T18:14:58Z

Russell Spitzer answered · Sep 18, 2019 at 06:14 PM

Based on the posted stack trace, I see that the issue is actually not with the TypeCodec registry. The issue is that the customFromDriver method provided by DseTypeCoverter is not accounting for the DateRange type. This means it won't be able to run with DateRange types unless this converter is updated.

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landonvg_125049 · Sep 18, 2019 at 07:21 PM

@Russell Spitzer Where do we go from here? Your other comment below say this will likely need a DSE JIRA. @brent.hale_101199 posted a small example that shows how you can reproduce this behavior, but that post has been removed (it was posted as an answer due to length).

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brent.hale_101199 · Oct 31, 2019 at 02:58 PM

Could you provide an update on https://datastax.jira.com/browse/DSP-19779? We've hit up against this again and wonder if there has been a fix.

What will we need? A new version of dse-byos_2.11-5.1.15.jar?

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Russell Spitzer brent.hale_101199 · Oct 31, 2019 at 03:11 PM

There are still no public versions which are fixed. There is a difficulty with reading the type in Oss/DSE driver (3.X, 1.X) since the driver type is not serializable. While we can do a patch that will allow us to not fail on reading the schema it would not allow us to read the column.

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brent.hale_101199 Russell Spitzer · Oct 31, 2019 at 05:04 PM

The fix/patch would be helpful. In our current circumstances, not reading that column would be fine. We defined the column in one of our UDT's as an experiment. We are not using it anymore but because we can't delete the field (since it is in a UDT) it kills us.

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Answer 2 · 2019-09-24T04:58:14Z

brent.hale_101199 answered · Sep 24, 2019 at 04:58 AM

Another reply too big for a reply.

Trying to simplify things. I tried the following; combining things from your docs:

In cqlsh:

CREATE TABLE taxi_trips(id int PRIMARY KEY, pickup_dropoff_range 'DateRangeType');
INSERT INTO taxi_trips(id, pickup_dropoff_range) VALUES (1, '[2017-02-02T14:57:00 TO 2017-02-02T15:10:17]');
INSERT INTO taxi_trips(id, pickup_dropoff_range) VALUES (2, '[2017-02-01T09:00:03 TO 2017-02-01T09:32:00.001]');
INSERT INTO taxi_trips(id, pickup_dropoff_range) VALUES (3, '[2017-02-03T12:10:01.358 TO 2017-02-03T12:19:57]');

Then in the spark shell (dse spark):

val rdd = sc.cassandraTable("gencat", "taxi_trips")

rdd: com.datastax.spark.connector.rdd.CassandraTableScanRDD[com.datastax.spark.connector.CassandraRow] = CassandraTableScanRDD[0] at RDD at CassandraRDD.scala:19

val firstRow = rdd.first

java.util.NoSuchElementException: key not found: 'org.apache.cassandra.db.marshal.DateRangeType'

we're on DSE 5.1.15.

What's going on with DateRangeType and Spark?

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brent.hale_101199 · Sep 18, 2019 at 06:08 PM

@Russell Spitzer could you look at this post. I am duplicating our problem in these very simple steps.

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Answer 3 · 2019-09-18T15:05:21Z

brent.hale_101199 answered · Sep 18, 2019 at 03:05 PM

I tried to put this in a reply but exceeded the character limit for a reply.

This is what we tried:

  private void run(String[] args) {
    processArgs(args);

    final JavaSparkContext sc = SparkUtil.createSparkContext(GetIds.class.getName(), cassUrl, cassUser, cassPwd);

    CodecRegistry.DEFAULT_INSTANCE.register(DateRangeCodec.INSTANCE);

    process(sc);

    SparkUtil.stop(sc);
  }

  private void process(JavaSparkContext sc) {
    LOGGER.info("In process");

    JavaRDD<String> idRDD = javaFunctions(sc)
        .cassandraTable(CASS_KEYSPACE, CliUtil.getTableNameFromResourceType(resourceType), mapColumnTo(String.class))
        .select("id");

    JavaRDD<String> filteredIdRDD = idRDD.filter(SparkUtil.bucketFilterIds(numOfBuckets, bucketNumber));

    filteredIdRDD.saveAsTextFile(outputFilename);
  }

This still results in

2019-09-18 14:59:07,889 INFO cql.CassandraConnector (main) Connected to Cassandra cluster: rmsstage-db

Exception in thread "main" java.util.NoSuchElementException: key not found: 'org.apache.cassandra.db.marshal.DateRangeType'

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landonvg_125049 · Sep 18, 2019 at 04:24 PM

@Russell Spitzer the suggested fix doesn't seem to be working.

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Russell Spitzer landonvg_125049 · Sep 18, 2019 at 04:32 PM

That is in the main method, so it would only be run in the driver machine. You need to invoke the registration from a singleton (a public static class) that is imported on the executors.

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landonvg_125049 Russell Spitzer · Sep 18, 2019 at 04:34 PM

@Russell Spitzer Can you give us instructions and/or example code on how to do that?

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Answer 4 · 2019-09-18T14:26:24Z

Russell Spitzer answered · Sep 18, 2019 at 02:26 PM

The local issue just shows the codec being registered twice which isn't an issue. The first error says that the "DateRangeType" which is a Dse Search Specific type is not being found when trying to read a specific column.

In 5.1 I do not believe this type has an automatically registered codec which means you can either get around this by registering the codec or by avoiding reading the column with this type.

To register the codec you would need to invoke something like

CodecRegistry.DEFAULT_INSTANCE.register(DateRangeCodec.instance);

In a singleton (this one make it run on all nodes)

Or if you want to just ignore that column, just select all columns except for the one with this type.

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landonvg_125049 · Sep 18, 2019 at 02:34 PM

Thanks, we'll give it a try.

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landonvg_125049 · Sep 18, 2019 at 02:35 PM

Note that we are already avoiding reading the column with that type; we are reading only the ID PK column, which is a String.

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landonvg_125049 · Sep 18, 2019 at 02:49 PM

To compile, we had to uppercase INSTANCE:

CodecRegistry.DEFAULT_INSTANCE.register(DateRangeCodec.INSTANCE);

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