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I'm getting events from Kafka and storing into Cassandra. Parsing json which contains fields eventID, sessionID, timestamp, userID to create columns for Cassandra table which looks like this:

cassandra@cqlsh> CREATE TABLE mydata.events (
   ...     "event_date" date,
   ...     "eventID" text,
   ...     "userID" text,
   ...     timestamp timeuuid,
   ...     "sessionID" text,
   ...     "fullJson" text,
   ...     PRIMARY KEY ("event_date", timestamp, "sessionID")

and in code:

case class cassandraFormat(
                       eventID: String, 
                       sessionID: String,
                       timeuuid: UUID, // timestamp as timeuuid
                       userID: String,
                       event_date: LocalDate, // YYYY-MM-dd format
                       fullJson: String // full json from Kafka
                     )

I need to add timestamp column as timeuuid. Since I'm parsing from json, extracted all values from header and created columns in this fashion:

 val allJson = rdd.
            map(x => {
              implicit val formats: DefaultFormats.type = org.json4s.DefaultFormats
              //use serialization default to format a Map to JSON
              (x, Serialization.write(x))
            }).
            filter(x => x._1 isDefinedAt "header").
            map(x => (x._1("header"), x._2)).
            filter(x => (x._1 isDefinedAt "userID") &&
              (x._1 isDefinedAt "eventID") &&
              (x._1 isDefinedAt "sessionID") &&
              (x._1 isDefinedAt "timestamp").
            map(x => cassFormat(x._1("eventID").toString,
              x._1("sessionID").toString,
              com.datastax.driver.core.utils.UUIDs.startOf(x._1("timestamp").toString.toLong),
              x._1("userID").toString,
              com.datastax.driver.core.LocalDate.fromMillisSinceEpoch(x._1("timestamp").toString.toLong),
              x._2))

This part:

com.datastax.driver.core.utils.UUIDs.startOf(x._1("timestamp").toString.toLong)

is generating Error

java.lang.NumberFormatException: For input string: "2019-05-09T09:00:52.553+0000" at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)

Even tried: java.util.UUID.fromString(x._1("timestamp").toString, also generating same Error. How to properly cast/convert timestamp as timeuuid and insert into Cassandra via spark job

dejanmarich
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3 Answers3

2

I've solved that problem with UDF.

import com.datastax.driver.core.utils.UUIDs
import org.apache.spark.sql.functions.udf
 
val toTimeuuid: java.sql.Timestamp => String = x => UUIDs.startOf(x.getTime()).toString()
val fromTimeuuid: String => java.sql.Timestamp = x => new java.sql.Timestamp(UUIDs.unixTimestamp(java.util.UUID.fromString(x)))
 
val toTimeuuidUDF = udf(toTimeuuid)
val fromTimeuuidUDF = udf(fromTimeuuid)
0

You have a string that is not a number and you are trying to convert it into one using toLong. thus the exception.

Looking at this, it looks like you can get a UUID based on some timestamp using this method:

public static UUID getTimeUUID(long when)

You are gonna have to parse the string into a DateTime or an Instant then pass the milliseconds of that DateTime/ Instant to getTimeUUID

Dionysis Nt.
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  • I know from error that this string cant be converted to Long.. question is how to do it with datastax driver in Scala/Spark application? – dejanmarich May 09 '19 at 14:35
0

I managed to do it, converting timestamp format to dateTime and to millis, then generate uuid:

val dateTimePattern = "yyyy-MM-dd'T'HH:mm:ss.SSSZ"
val dateFormatter = DateTimeFormatter.ofPattern(dateTimePattern)

val allJson = rdd.
              map(x => {
                implicit val formats: DefaultFormats.type = org.json4s.DefaultFormats
                //use serialization default to format a Map to JSON
                (x, Serialization.write(x))
              }).
              filter(x => x._1 isDefinedAt "header").
              map(x => (x._1("header"), x._2)).
              filter(x => (x._1 isDefinedAt "userID") &&
                (x._1 isDefinedAt "eventID") &&
                (x._1 isDefinedAt "sessionID") &&
                (x._1 isDefinedAt "timestamp").
              map(x => {
                var millis: Long  = System.currentTimeMillis() // if timestamp format is invalid, put current timestamp instead
                try {
                  val dateStr: String = x._1("timestamp").asInstanceOf[String]
                  // timestamp from event json
                  // create DateTime from Timestamp string
                  val dateTime: ZonedDateTime = ZonedDateTime.parse(dateStr, dateFormatter)
                  // create millis from DateTime
                  millis = dateTime.toInstant.toEpochMilli
                } catch {
                  case e: Exception =>
                    e.printStackTrace()
                }
                // generate timeuuid
                val uuid = new UUID(UUIDs.startOf(millis).getMostSignificantBits, random.nextLong)
                // generate eventDate
                val eventDate = com.datastax.driver.core.LocalDate.fromMillisSinceEpoch(millis)
                cassFormat(x._1("eventID").toString,
                  x._1("sessionID").toString,
                  uuid,
                  x._1("userID").toString,
                  eventDate,
                  x._2)
              })
            allJson.saveToCassandra(CASSANDRA_KEYSPACE_NAME, CASSANDRA_EVENTS_TABLE)
        }
      })

timestamp column in cassandra now looks like: 58976340-7313-11e9-910d-60dce7513b94

dejanmarich
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