我在Databricks中有一个DataFrame
,我想用它在Cosmos中创建图形,DataFrame
中的一行等于Cosmos中的1个顶点。
当我写Cosmos时,我看不到顶点上的任何属性,只是生成的ID。
获取数据:
data = spark.sql("select * from graph.testgraph")
配置:
writeConfig = {
"Endpoint" : "******",
"Masterkey" : "******",
"Database" : "graph",
"Collection" : "TestGraph",
"Upsert" : "true",
"query_pagesize" : "100000",
"bulkimport": "true",
"WritingBatchSize": "1000",
"ConnectionMaxPoolSize": "100",
"partitionkeydefinition": "/id"
}
写给宇宙:
data.write.
format("com.microsoft.azure.cosmosdb.spark").
options(**writeConfig).
save()
答案 0 :(得分:0)
下面是将记录插入到cosmos DB中的工作代码。 转到以下站点,单击下载选项,然后选择uber.jar https://search.maven.org/artifact/com.microsoft.azure/azure-cosmosdb-spark_2.3.0_2.11/1.2.2/jar然后添加您的依赖项
spark-shell --master yarn --executor-cores 5 --executor-memory 10g --num-executors 10 --driver-memory 10g --jars“ path / to / jar / dependency / azure-cosmosdb- spark_2.3.0_2.11-1.2.2-uber.jar”-打包“ com.google.guava:guava:18.0,com.google.code.gson:gson:2.3.1,com.microsoft.azure:azure -documentdb:1.16.1“
import org.apache.spark.sql.types._
import org.apache.spark.sql.Row
val data = Seq(
Row(2, "Abb"),
Row(4, "Bcc"),
Row(6, "Cdd")
)
val schema = List(
StructField("partitionKey", IntegerType, true),
StructField("name", StringType, true)
)
val DF = spark.createDataFrame(
spark.sparkContext.parallelize(data),
StructType(schema)
)
val writeConfig = Map("Endpoint" -> "https://*******.documents.azure.com:443/",
"Masterkey" -> "**************",
"Database" -> "db_name",
"Collection" -> "collection_name",
"Upsert" -> "true",
"query_pagesize" -> "100000",
"bulkimport"-> "true",
"WritingBatchSize"-> "1000",
"ConnectionMaxPoolSize"-> "100",
"partitionkeydefinition"-> "/partitionKey")
DF.write.format("com.microsoft.azure.cosmosdb.spark").mode("overwrite").options(writeConfig).save()