如何在 Spark 3.0 预览版中使用 Delta？

Question

SPARK 3.0 无法将 DF 保存为 HDFS 中的增量表

• Scala 版本 2.12.10
• Spark 3.0 版预览

能够在 2.4.4 中执行此操作，但未创建分区。

输入样本：

Vehicle_id|model|brand|year|miles|intake_date_time

v0001H|verna|Hyundai|2011|5000|2018-01-20 06:30:00

v0001F|Eco-sport|Ford|2013|4000|2018-02-10 06:30:00

v0002F|Endeavour|Ford|2011|8000|2018-04-12 06:30:00

v0001L|Gallardo|Lambhorghini|2013|2000|2018-05-16 06:30:00

// reading 
val deltaTableInput1 = spark.read
                            .format("com.databricks.spark.csv")
                            .option("header","true")
                            .option("delimiter","|")
                            .option("inferSchema","true")
                            .load("file")
                            .selectExpr("Vehicle_id","model","brand","year","month","miles","CAST(concat(substring(intake_date_time,7,4),concat(substring(intake_date_time,3,4),concat(substring(intake_date_time,1,2),substring(intake_date_time,11,9)))) AS TIMESTAMP) as intake_date_time")  

// Writing
 deltaTableInput1.write
                 .mode("overwrite")
                 .partitionBy("brand","model","year","month")
                 .format("delta")
                 .save("path")

错误：

com.google.common.util.concurrent.ExecutionError: java.lang.NoSuchMethodError: org.apache.spark.util.Utils$.classForName(Ljava/lang/String;)Ljava/lang/Class; 在 com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2261) 在 com.google.common.cache.LocalCache.get(LocalCache.java:4000) 在 com.google.common.cache.LocalCache$LocalManualCache.get(LocalCache.java:4789) 在 org.apache.spark.sql.delta.DeltaLog$.apply(DeltaLog.scala:714) 在 org.apache.spark.sql.delta.DeltaLog$.forTable(DeltaLog.scala:676) 在 org.apache.spark.sql.delta.sources.DeltaDataSource.createRelation(DeltaDataSource.scala:124) 在 org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run（SaveIntoDataSourceCommand.scala:46） 在 org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:71) 在 org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:69) 在 org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:87) 在 org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:189) 在 org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:227) 在 org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) 在 org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:224) 在 org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:185) 在 org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:110) 在 org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:109) 在 org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:829) 在 org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$4(SQLExecution.scala:100) 在 org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160) 在 org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87) 在 org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:829) 在 org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:309) 在 org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293) 在 org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:236) ... 47 省略 引起：java.lang.NoSuchMethodError: org.apache.spark.util.Utils$.classForName(Ljava/lang/String;)Ljava/lang/Class; 在 org.apache.spark.sql.delta.storage.LogStoreProvider.createLogStore(LogStore.scala:122) 在 org.apache.spark.sql.delta.storage.LogStoreProvider.createLogStore$(LogStore.scala:120) 在 org.apache.spark.sql.delta.DeltaLog.createLogStore(DeltaLog.scala:58) 在 org.apache.spark.sql.delta.storage.LogStoreProvider.createLogStore(LogStore.scala:117) 在 org.apache.spark.sql.delta.storage.LogStoreProvider.createLogStore$(LogStore.scala:115) 在 org.apache.spark.sql.delta.DeltaLog.createLogStore(DeltaLog.scala:58) 在 org.apache.spark.sql.delta.DeltaLog.(DeltaLog.scala:79) 在 org.apache.spark.sql.delta.DeltaLog$$anon$3.$anonfun$call$2(DeltaLog.scala:718) 在 org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer（AnalysisHelper.scala:194） 在 org.apache.spark.sql.delta.DeltaLog$$anon$3.$anonfun$call$1(DeltaLog.scala:718) 在 com.databricks.spark.util.DatabricksLogging.recordOperation（DatabricksLogging.scala:77） 在 com.databricks.spark.util.DatabricksLogging.recordOperation$(DatabricksLogging.scala:67) 在 org.apache.spark.sql.delta.DeltaLog$.recordOperation(DeltaLog.scala:645) 在 org.apache.spark.sql.delta.metering.DeltaLogging.recordDeltaOperation(DeltaLogging.scala:103) 在 org.apache.spark.sql.delta.metering.DeltaLogging.recordDeltaOperation$(DeltaLogging.scala:89) 在 org.apache.spark.sql.delta.DeltaLog$.recordDeltaOperation(DeltaLog.scala:645) 在 org.apache.spark.sql.delta.DeltaLog$$anon$3.call(DeltaLog.scala:717) 在 org.apache.spark.sql.delta.DeltaLog$$anon$3.call(DeltaLog.scala:714) 在 com.google.common.cache.LocalCache$LocalManualCache$1.load(LocalCache.java:4792) 在 com.google.common.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3599) 在 com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2379) 在 com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2342) 在 com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2257) ... 71 更多

在来自 REPL 的 Spark 2.4.4 中，它是在没有分区的情况下编写的。

Spark 3.0 错误

Answer 1

发现于slack:

Spark 3.0 与 Spark 2.4 显着不同，因此它不起作用

有分店吗？ https://github.com/delta-io/delta/tree/spark-3.0-snapshot