fmendezlopez commented on issue #1776:
URL: https://github.com/apache/sedona/issues/1776#issuecomment-2647698442
Hello,
We have tried the following code:
`df_floods_tile = sedona.sql(f"SELECT RS_TileExplode(content, 2, 2) FROM
floods_tif")`
and now the error thrown is this:
`An error was encountered:
An error occurred while calling o232.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
in stage 5.0 failed 4 times, most recent failure: Lost task 0.3 in stage 5.0
(TID 10) (ip-10-60-253-102.eu-south-2.compute.internal executor 2):
java.lang.IllegalArgumentException: Unsupported raster type: 73
at
org.apache.sedona.common.raster.serde.Serde.deserialize(Serde.java:184)
at
org.apache.spark.sql.sedona_sql.expressions.raster.implicits$RasterInputExpressionEnhancer.toRaster(implicits.scala:38)
at
org.apache.spark.sql.sedona_sql.expressions.raster.RS_TileExplode.eval(RasterConstructors.scala:107)
at
org.apache.spark.sql.execution.GenerateExec.$anonfun$doExecute$8(GenerateExec.scala:108)
at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
at scala.collection.Iterator$ConcatIterator.hasNext(Iterator.scala:224)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:35)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.hasNext(Unknown
Source)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:959)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:407)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:888)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:888)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:92)
at
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
at org.apache.spark.scheduler.Task.run(Task.scala:141)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:554)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:557)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2974)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2910)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2909)
at
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.fore`
Is there any way to achieve the correct read of the file by tuning the
argumnents passed to `RS_TileExplode`? If not, is there a way we can do
something with Sedona in general?
Thank you.
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