spark sql查询批量同步生成的hudi分区表会报错，而hive和presto查询正常

[ChenShuai1981]

order_info表设置分区策略为slashEncodedDay，字段选取create_time，同时设置pt为分区字段，触发执行成功。分别使用hive和presto查询表的分区情况和count数都无误，然后改使用spark-sql查询分区情况时会提示如下信息：

spark-sql> show partitions order_info;
org.apache.spark.sql.AnalysisException: SHOW PARTITIONS is not allowed on order_info since its partition metadata is not stored in the Hive metastore. To import this information into the metastore, run `msck repair table order_info`;
  at org.apache.spark.sql.execution.command.DDLUtils$.verifyPartitionProviderIsHive(ddl.scala:835)
  at org.apache.spark.sql.execution.command.ShowPartitionsCommand.run(tables.scala:888)
  at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
  at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
  at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
  at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:194)

于是执行 msck repair table order_info 命令后再重新执行上述命令显示正常

scala> spark.sql("msck repair table order_info").show(100, false)
22/06/08 10:17:05 WARN command.AlterTableRecoverPartitionsCommand: ignore hdfs://namenode/user/admin/default/20220608181019/order_info/hudi/2019
++
||
++
++

spark-sql> show partitions order_info;
+-------------+
|partition    |
+-------------+
|pt=2019-11-23|
+-------------+

接下来查询count数

spark-sql> select count(1) from order_info
Caused by: java.io.IOException: Required column is missing in data file. Col: [pt]
	at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initializeInternal(VectorizedParquetRecordReader.java:292)
	at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initialize(VectorizedParquetRecordReader.java:132)
	at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:418)
	at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:352)
	at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:124)
	at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177)
	at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:101)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.scan_nextBatch_0$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.run(Task.scala:123)
	at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)

[baisui1981]

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