Spark Library for Bulk Loading into Cassandra
Requirements
Spark2Cassandra supports Spark 1.5 and above.
| Spark2Cassandra Version | Cassandra Version |
|---|---|
2.1.X |
2.1.5+ |
2.2.X |
2.1.X |
Downloads
SBT
libraryDependencies += "com.github.jparkie" %% "spark2cassandra" % "2.1.0"Or:
libraryDependencies += "com.github.jparkie" %% "spark2cassandra" % "2.2.0"Add the following resolver if needed:
resolvers += "Sonatype OSS Releases" at "https://oss.sonatype.org/content/repositories/releases"
resolvers += "Sonatype OSS Snapshots" at "https://oss.sonatype.org/content/repositories/snapshots"Maven
<dependency>
<groupId>com.github.jparkie</groupId>
<artifactId>spark2cassandra_2.10</artifactId>
<version>x.y.z-SNAPSHOT</version>
</dependency>It is planned for Spark2Cassandra to be available on the following:
Features
Usage
Bulk Loading into Cassandra
// Import the following to have access to the `bulkLoadToEs()` function for RDDs or DataFrames.
import com.github.jparkie.spark.cassandra.rdd._
import com.github.jparkie.spark.cassandra.sql._
val sparkConf = new SparkConf()
val sc = SparkContext.getOrCreate(sparkConf)
val sqlContext = SQLContext.getOrCreate(sc)
val rdd = sc.parallelize(???)
val df = sqlContext.read.parquet("<PATH>")
// Specify the `keyspaceName` and the `tableName` to write.
rdd.bulkLoadToCass(
keyspaceName = "twitter",
tableName = "tweets_by_date"
)
// Specify the `keyspaceName` and the `tableName` to write.
df.bulkLoadToCass(
keyspaceName = "twitter",
tableName = "tweets_by_author"
)Refer to for more: SparkCassRDDFunction.scala Refer to for more: SparkCassDataFrameFunctions.scala
Configurations
As Spark2Cassandra utilizes https://github.com/datastax/spark-cassandra-connector for serializations from Spark and session management, please refer to the following for more configurations: https://github.com/datastax/spark-cassandra-connector/blob/master/doc/reference.md.
SparkCassWriteConf
Refer to for more: SparkCassWriteConf.scala
| Property Name | Default | Description |
|---|---|---|
spark.cassandra.bulk.write.partitioner |
org.apache.cassandra.dht.Murmur3Partitioner | The 'partitioner' defined in cassandra.yaml. |
spark.cassandra.bulk.write.throughput_mb_per_sec |
Int.MaxValue | The maximum throughput to throttle. |
spark.cassandra.bulk.write.connection_per_host |
1 | The number of connections per host to utilize when streaming SSTables. |
SparkCassServerConf
Refer to for more: SparkCassServerConf.scala
| Property Name | Default | Description |
|---|---|---|
spark.cassandra.bulk.server.storage.port |
7000 | The 'storage_port' defined in cassandra.yaml. |
spark.cassandra.bulk.server.sslStorage.port |
7001 | The 'ssl_storage_port' defined in cassandra.yaml. |
spark.cassandra.bulk.server.internode.encryption |
"none" | The 'server_encryption_options:internode_encryption' defined in cassandra.yaml. |
spark.cassandra.bulk.server.keyStore.path |
conf/.keystore | The 'server_encryption_options:keystore' defined in cassandra.yaml. |
spark.cassandra.bulk.server.keyStore.password |
cassandra | The 'server_encryption_options:keystore_password' defined in cassandra.yaml. |
spark.cassandra.bulk.server.trustStore.path |
conf/.truststore | The 'server_encryption_options:truststore' defined in cassandra.yaml. |
spark.cassandra.bulk.server.trustStore.password |
cassandra | The 'server_encryption_options:truststore_password' defined in cassandra.yaml. |
spark.cassandra.bulk.server.protocol |
TLS | The 'server_encryption_options:protocol' defined in cassandra.yaml. |
spark.cassandra.bulk.server.algorithm |
SunX509 | The 'server_encryption_options:algorithm' defined in cassandra.yaml. |
spark.cassandra.bulk.server.store.type |
JKS | The 'server_encryption_options:store_type' defined in cassandra.yaml. |
spark.cassandra.bulk.server.cipherSuites |
TLS_RSA_WITH_AES_128_CBC_SHA,TLS_RSA_WITH_AES_256_CBC_SHA | The 'server_encryption_options:cipher_suites' defined in cassandra.yaml. |
spark.cassandra.bulk.server.requireClientAuth |
false | The 'server_encryption_options:require_client_auth' defined in cassandra.yaml. |
Documentation
Scaladocs are currently unavailable.
