com.datastax.spark.connector.writer.WriteConf.scala Maven / Gradle / Ivy
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package com.datastax.spark.connector.writer
import com.datastax.oss.driver.api.core.{ConsistencyLevel, DefaultConsistencyLevel}
import com.datastax.oss.driver.api.core.`type`.{DataType, DataTypes}
import com.datastax.spark.connector.cql.{ColumnDef, RegularColumn}
import com.datastax.spark.connector.types.ColumnType
import com.datastax.spark.connector.util.ConfigCheck.ConnectorConfigurationException
import com.datastax.spark.connector.util.{ConfigCheck, ConfigParameter, DeprecatedConfigParameter}
import com.datastax.spark.connector.{BatchSize, BytesInBatch, RowsInBatch}
import org.apache.spark.SparkConf
/** Write settings for RDD
*
* @param batchSize approx. number of bytes to be written in a single batch or
* exact number of rows to be written in a single batch;
* @param batchGroupingBufferSize the number of distinct batches that can be buffered before
* they are written to Cassandra
* @param batchGroupingKey which rows can be grouped into a single batch
* @param consistencyLevel consistency level for writes, default LOCAL_QUORUM
* @param ifNotExists inserting a row should happen only if it does not already exist
* @param parallelismLevel number of batches to be written in parallel
* @param ttl the default TTL value which is used when it is defined (in seconds)
* @param timestamp the default timestamp value which is used when it is defined (in microseconds)
* @param taskMetricsEnabled whether or not enable task metrics updates (requires Spark 1.2+)
*/
case class WriteConf(
batchSize: BatchSize = BatchSize.Automatic,
batchGroupingBufferSize: Int = WriteConf.BatchBufferSizeParam.default,
batchGroupingKey: BatchGroupingKey = WriteConf.BatchLevelParam.default,
consistencyLevel: ConsistencyLevel = WriteConf.ConsistencyLevelParam.default,
ifNotExists: Boolean = WriteConf.IfNotExistsParam.default,
ignoreNulls: Boolean = WriteConf.IgnoreNullsParam.default,
parallelismLevel: Int = WriteConf.ParallelismLevelParam.default,
throughputMiBPS: Option[Double] = WriteConf.ThroughputMiBPSParam.default,
ttl: TTLOption = TTLOption.defaultValue,
timestamp: TimestampOption = TimestampOption.defaultValue,
taskMetricsEnabled: Boolean = WriteConf.TaskMetricsParam.default,
executeAs: Option[String] = None) {
private[writer] val optionPlaceholders: Seq[String] = Seq(ttl, timestamp).collect {
case WriteOption(PerRowWriteOptionValue(placeholder)) => placeholder
}
private[writer] val optionsAsColumns: (String, String) => Seq[ColumnDef] = { (keyspace, table) =>
def toRegularColDef(opt: WriteOption[_], dataType: DataType) = opt match {
case WriteOption(PerRowWriteOptionValue(placeholder)) =>
Some(ColumnDef(placeholder, RegularColumn, ColumnType.fromDriverType(dataType)))
case _ => None
}
Seq(toRegularColDef(ttl, DataTypes.INT), toRegularColDef(timestamp, DataTypes.BIGINT)).flatten
}
val throttlingEnabled = throughputMiBPS.isDefined
}
object WriteConf {
val ReferenceSection = "Write Tuning Parameters"
val ConsistencyLevelParam = ConfigParameter[ConsistencyLevel](
name = "spark.cassandra.output.consistency.level",
section = ReferenceSection,
default = DefaultConsistencyLevel.LOCAL_QUORUM,
description = """Consistency level for writing""")
val BatchSizeRowsParam = ConfigParameter[Option[Int]](
name = "spark.cassandra.output.batch.size.rows",
section = ReferenceSection,
default = None,
description = """Number of rows per single batch. The default is 'auto'
|which means the connector will adjust the number
|of rows based on the amount of data
|in each row""".stripMargin)
val BatchSizeBytesParam = ConfigParameter[Int](
name = "spark.cassandra.output.batch.size.bytes",
section = ReferenceSection,
default = 1024,
description = s"""Maximum total size of the batch in bytes. Overridden by
|${BatchSizeRowsParam.name}
""".stripMargin)
val BatchBufferSizeParam = ConfigParameter[Int](
name = "spark.cassandra.output.batch.grouping.buffer.size",
section = ReferenceSection,
default = 1000,
description = """ How many batches per single Spark task can be stored in
|memory before sending to Cassandra""".stripMargin)
val BatchLevelParam = ConfigParameter[BatchGroupingKey](
name = "spark.cassandra.output.batch.grouping.key",
section = ReferenceSection,
default = BatchGroupingKey.Partition,
description = """Determines how insert statements are grouped into batches. Available values are
|
| -
none : a batch may contain any statements
| -
replica_set : a batch may contain only statements to be written to the same replica set
| -
partition : a batch may contain only statements for rows sharing the same partition key value
|
|""".stripMargin)
val IfNotExistsParam = ConfigParameter[Boolean](
name = "spark.cassandra.output.ifNotExists",
section = ReferenceSection,
default = false,
description =
"""Determines that the INSERT operation is not performed if a row with the same primary
|key already exists. Using the feature incurs a performance hit.""".stripMargin)
val IgnoreNullsParam = ConfigParameter[Boolean](
name = "spark.cassandra.output.ignoreNulls",
section = ReferenceSection,
default = false,
description =
""" In Cassandra >= 2.2 null values can be left as unset in bound statements. Setting
|this to true will cause all null values to be left as unset rather than bound. For
|finer control see the CassandraOption class""".stripMargin)
val ParallelismLevelParam = ConfigParameter[Int] (
name = "spark.cassandra.output.concurrent.writes",
section = ReferenceSection,
default = 5,
description = """Maximum number of batches executed in parallel by a
| single Spark task""".stripMargin)
val ThroughputMiBPSParam = ConfigParameter[Option[Double]] (
name = "spark.cassandra.output.throughputMBPerSec",
section = ReferenceSection,
default = None,
description = """*(Floating points allowed)*
Maximum write throughput allowed
| per single core in MB/s.
Limit this on long (+8 hour) runs to 70% of your max throughput
| as seen on a smaller job for stability""".stripMargin)
val DeprecatedThroughputMiBPSParam = DeprecatedConfigParameter(
name = "spark.cassandra.output.throughput_mb_per_sec",
replacementParameter = Some(ThroughputMiBPSParam),
deprecatedSince = "DSE 6.0.0"
)
val TTLParam = ConfigParameter[Int] (
name = "spark.cassandra.output.ttl",
section = ReferenceSection,
default = 0,
description = """Time To Live(TTL) assigned to writes to Cassandra. A value of 0 means no TTL""".stripMargin)
val TimestampParam = ConfigParameter[Long](
name = "spark.cassandra.output.timestamp",
section = ReferenceSection,
default = 0,
description =
"""Timestamp (microseconds since epoch) of the write. If not specified, the time that the
| write occurred is used. A value of 0 means time of write.""".stripMargin)
/** Task Metrics **/
val TaskMetricsParam = ConfigParameter[Boolean](
name = "spark.cassandra.output.metrics",
section = ReferenceSection,
default = true,
description = """Sets whether to record connector specific metrics on write"""
)
def fromSparkConf(conf: SparkConf): WriteConf = {
ConfigCheck.checkConfig(conf)
val batchSizeInBytes = conf.getInt(BatchSizeBytesParam.name, BatchSizeBytesParam.default)
val consistencyLevel = DefaultConsistencyLevel.valueOf(
conf.get(ConsistencyLevelParam.name, ConsistencyLevelParam.default.name()))
val batchSizeInRowsStr = conf.get(BatchSizeRowsParam.name, "auto")
val ifNotExists = conf.getBoolean(IfNotExistsParam.name, IfNotExistsParam.default)
val ignoreNulls = conf.getBoolean(IgnoreNullsParam.name, IgnoreNullsParam.default)
val batchSize = {
val Number = "([0-9]+)".r
batchSizeInRowsStr match {
case "auto" => BytesInBatch(batchSizeInBytes)
case Number(x) => RowsInBatch(x.toInt)
case other =>
throw new ConnectorConfigurationException(
s"Invalid value of spark.cassandra.output.batch.size.rows: $other. Number or 'auto' expected")
}
}
val batchBufferSize = conf.getInt(BatchBufferSizeParam.name, BatchBufferSizeParam.default)
val batchGroupingKey = conf.getOption(BatchLevelParam.name)
.map(BatchGroupingKey.apply)
.getOrElse(BatchLevelParam.default)
val parallelismLevel = conf.getInt(ParallelismLevelParam.name, ParallelismLevelParam.default)
val throughputMiBPS = conf.getOption(ThroughputMiBPSParam.name).map(_.toDouble)
val metricsEnabled = conf.getBoolean(TaskMetricsParam.name, TaskMetricsParam.default)
val ttlSeconds = conf.getInt(TTLParam.name, TTLParam.default)
val ttlOption =
if (ttlSeconds == TTLParam.default)
TTLOption.defaultValue
else
TTLOption.constant(ttlSeconds)
val timestampMicros = conf.getLong(TimestampParam.name, TimestampParam.default)
val timestampOption =
if (timestampMicros == TimestampParam.default)
TimestampOption.defaultValue
else
TimestampOption.constant(timestampMicros)
WriteConf(
batchSize = batchSize,
batchGroupingBufferSize = batchBufferSize,
batchGroupingKey = batchGroupingKey,
consistencyLevel = consistencyLevel,
parallelismLevel = parallelismLevel,
throughputMiBPS = throughputMiBPS,
taskMetricsEnabled = metricsEnabled,
ttl = ttlOption,
timestamp = timestampOption,
ignoreNulls = ignoreNulls,
ifNotExists = ifNotExists)
}
}
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