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Cassandra as sink option for ingestion job (#51)
* Cassandra as alternative online storage Signed-off-by: Khor Shu Heng <khor.heng@gojek.com> * Add TTL Signed-off-by: Khor Shu Heng <khor.heng@gojek.com> * Add default cassandra write properties Signed-off-by: Khor Shu Heng <khor.heng@gojek.com> * Use pre-generated schema Signed-off-by: Khor Shu Heng <khor.heng@gojek.com> * Use multiple columns for schema ref Signed-off-by: Khor Shu Heng <khor.heng@gojek.com> * Move cassandra keyspace config to spark conf Signed-off-by: Khor Shu Heng <khor.heng@gojek.com> * Expose Cassandra store to python SDK Signed-off-by: Khor Shu Heng <khor.heng@gojek.com> Co-authored-by: Khor Shu Heng <khor.heng@gojek.com>
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129 changes: 129 additions & 0 deletions
129
spark/ingestion/src/main/scala/feast/ingestion/stores/cassandra/CassandraSinkRelation.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,129 @@ | ||
| /* | ||
| * SPDX-License-Identifier: Apache-2.0 | ||
| * Copyright 2018-2021 The Feast Authors | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * https://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
| package feast.ingestion.stores.cassandra | ||
|
|
||
| import feast.ingestion.stores.serialization.Serializer | ||
| import org.apache.spark.sql.expressions.UserDefinedFunction | ||
| import org.apache.spark.sql.functions.{col, lit, struct, udf} | ||
| import org.apache.spark.sql.sources.{BaseRelation, InsertableRelation} | ||
| import org.apache.spark.sql.types.{StringType, StructType} | ||
| import org.apache.spark.sql.{DataFrame, Row, SQLContext} | ||
|
|
||
| class CassandraSinkRelation( | ||
| override val sqlContext: SQLContext, | ||
| val serializer: Serializer, | ||
| val config: SparkCassandraConfig | ||
| ) extends BaseRelation | ||
| with InsertableRelation | ||
| with Serializable { | ||
| override def schema: StructType = ??? | ||
|
|
||
| override def insert(data: DataFrame, overwrite: Boolean): Unit = { | ||
|
|
||
| val featureFields = data.schema.fields | ||
| .filterNot(f => isSystemColumn(f.name)) | ||
|
|
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| val featureColumns = featureFields.map(f => data(f.name)) | ||
|
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| val entityColumns = config.entityColumns.map(c => data(c).cast(StringType)) | ||
| val schema = serializer.convertSchema(StructType(featureFields)) | ||
| val schemaReference = serializer.schemaReference(schema) | ||
|
|
||
| val writerWithoutTTL = data | ||
| .select( | ||
| joinEntityKey(struct(entityColumns: _*)).alias("key"), | ||
| serializer.serializeData(schema)(struct(featureColumns: _*)).alias(columnName), | ||
| col(config.timestampColumn).alias("ts") | ||
| ) | ||
| .withColumn(schemaRefColumnName, lit(schemaReference)) | ||
| .writeTo(fullTableReference) | ||
| .option("writeTime", "ts") | ||
|
|
||
| val writer = | ||
| if (config.maxAge <= 0) | ||
| writerWithoutTTL | ||
| else writerWithoutTTL.option("ttl", config.maxAge.toString) | ||
|
|
||
| writer.append() | ||
| } | ||
|
|
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| def sanitizedForCassandra(expr: String): String = { | ||
| expr.replace('-', '_') | ||
| } | ||
|
|
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| val tableName = { | ||
| val entities = config.entityColumns.mkString("__") | ||
| sanitizedForCassandra(s"${config.projectName}__${entities}") | ||
| } | ||
|
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| val keyspace = sqlContext.sparkContext.getConf.get("feast.store.cassandra.keyspace") | ||
|
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| val sparkCatalog = "feast" | ||
|
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| val fullTableReference = s"${sparkCatalog}.${keyspace}.`${tableName}`" | ||
|
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| val columnName = sanitizedForCassandra(config.namespace) | ||
|
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| val schemaRefColumnName = sanitizedForCassandra(s"${config.namespace}__schema_ref") | ||
|
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| val schemaTableName = s"${sparkCatalog}.${keyspace}.feast_schema_reference" | ||
|
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| def createTable(): Unit = { | ||
|
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| sqlContext.sql(s""" | ||
| |CREATE TABLE IF NOT EXISTS ${fullTableReference} | ||
| |(key BINARY) | ||
| |USING cassandra | ||
| |PARTITIONED BY (key) | ||
| |""".stripMargin) | ||
|
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| sqlContext.sql(s""" | ||
| |ALTER TABLE ${fullTableReference} | ||
| |ADD COLUMNS (${columnName} BINARY, ${schemaRefColumnName} BINARY) | ||
| |""".stripMargin) | ||
|
|
||
| } | ||
|
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| private def joinEntityKey: UserDefinedFunction = udf { r: Row => | ||
| ((0 until r.size)).map(r.getString).mkString("#").getBytes | ||
| } | ||
|
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| private def isSystemColumn(name: String) = | ||
| (config.entityColumns ++ Seq(config.timestampColumn)).contains(name) | ||
|
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| def saveWriteSchema(data: DataFrame) = { | ||
| sqlContext.sql(s""" | ||
| |CREATE TABLE IF NOT EXISTS ${schemaTableName} | ||
| |(schema_ref BINARY, avro_schema BINARY) | ||
| |USING cassandra | ||
| |PARTITIONED BY (schema_ref) | ||
| |""".stripMargin) | ||
|
|
||
| val featureFields = data.schema.fields | ||
| .filterNot(f => isSystemColumn(f.name)) | ||
| val featureSchema = StructType(featureFields) | ||
|
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| val schema = serializer.convertSchema(featureSchema) | ||
| val key = serializer.schemaReference(schema) | ||
|
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| import sqlContext.sparkSession.implicits._ | ||
| val schemaData = | ||
| List((key, schema.asInstanceOf[String].getBytes)).toDF("schema_ref", "avro_schema") | ||
|
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| schemaData.writeTo(schemaTableName).append() | ||
| } | ||
| } |
42 changes: 42 additions & 0 deletions
42
spark/ingestion/src/main/scala/feast/ingestion/stores/cassandra/DefaultSource.scala
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,42 @@ | ||
| /* | ||
| * SPDX-License-Identifier: Apache-2.0 | ||
| * Copyright 2018-2021 The Feast Authors | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * https://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
| package feast.ingestion.stores.cassandra | ||
|
|
||
| import feast.ingestion.stores.serialization.AvroSerializer | ||
| import org.apache.spark.sql.sources.{BaseRelation, CreatableRelationProvider} | ||
| import org.apache.spark.sql.{DataFrame, SQLContext, SaveMode} | ||
|
|
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| class DefaultSource extends CreatableRelationProvider { | ||
| override def createRelation( | ||
| sqlContext: SQLContext, | ||
| mode: SaveMode, | ||
| parameters: Map[String, String], | ||
| data: DataFrame | ||
| ): BaseRelation = { | ||
|
|
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| val rel = | ||
| new CassandraSinkRelation( | ||
| sqlContext, | ||
| new AvroSerializer, | ||
| SparkCassandraConfig.parse(parameters) | ||
| ) | ||
| rel.createTable() | ||
| rel.saveWriteSchema(data) | ||
| rel.insert(data, overwrite = false) | ||
| rel | ||
| } | ||
| } |
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