paulpaul1076 opened a new issue, #9679: URL: https://github.com/apache/iceberg/issues/9679
### Apache Iceberg version 1.4.3 (latest release) ### Query engine Spark ### Please describe the bug 🐞 I wrote this code in Scala: ``` HiveCatalog catalog = new HiveCatalog(); catalog.setConf(spark.sparkContext().hadoopConfiguration()); Map<String, String> properties = new HashMap<>(); properties.put("warehouse", "s3a://obs-zdp-warehouse-stage-mz/"); properties.put("uri", "thrift://******"); catalog.initialize("hive", properties); String tableName = args[0]; String[] schemaAndTable = tableName.split("\\."); TableIdentifier tableId = TableIdentifier.of(schemaAndTable); Table table = catalog.loadTable(tableId); SparkActions.get() .rewriteDataFiles(table) .option("partial-progress.enabled", "true") .execute(); ``` And this code in SQL: ``` spark.sql("CALL iceberg_catalog.system.rewrite_data_files(table => 'stage.test_partitioned', options => map('partial-progress.enabled', 'true'))"); ``` They are supposed to do the same thing, they even have the absolute same parameters. Yet, the Scala one works fine, but the SQL one constantly throws this exception: ``` at org.apache.iceberg.parquet.ParquetReader$FileIterator.advance(ParquetReader.java:149) at org.apache.iceberg.parquet.ParquetReader$FileIterator.next(ParquetReader.java:126) at org.apache.iceberg.io.FilterIterator.advance(FilterIterator.java:65) at org.apache.iceberg.io.FilterIterator.hasNext(FilterIterator.java:49) at org.apache.iceberg.spark.source.BaseReader.next(BaseReader.java:140) at org.apache.spark.sql.execution.datasources.v2.PartitionIterator.hasNext(DataSourceRDD.scala:120) at org.apache.spark.sql.execution.datasources.v2.MetricsIterator.hasNext(DataSourceRDD.scala:158) at org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.$anonfun$hasNext$1(DataSourceRDD.scala:63) at org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.$anonfun$hasNext$1$adapted(DataSourceRDD.scala:63) at scala.Option.exists(Option.scala:376) at org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.hasNext(DataSourceRDD.scala:63) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at scala.collection.Iterator$$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:43) at org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43) at org.apache.spark.sql.execution.datasources.v2.WritingSparkTask.$anonfun$run$1(WriteToDataSourceV2Exec.scala:441) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1397) at org.apache.spark.sql.execution.datasources.v2.WritingSparkTask.run(WriteToDataSourceV2Exec.scala:486) at org.apache.spark.sql.execution.datasources.v2.WritingSparkTask.run$(WriteToDataSourceV2Exec.scala:425) at org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.run(WriteToDataSourceV2Exec.scala:491) at org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.$anonfun$writeWithV2$2(WriteToDataSourceV2Exec.scala:388) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93) at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161) at org.apache.spark.scheduler.Task.run(Task.scala:141) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620) at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64) at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) at java.base/java.lang.Thread.run(Thread.java:829) Caused by: org.apache.iceberg.aws.shaded.org.apache.http.ConnectionClosedException: Premature end of Content-Length delimited message body (expected: 297,221,738; received: 143,086,296) at org.apache.iceberg.aws.shaded.org.apache.http.impl.io.ContentLengthInputStream.read(ContentLengthInputStream.java:178) at org.apache.iceberg.aws.shaded.org.apache.http.conn.EofSensorInputStream.read(EofSensorInputStream.java:135) at java.base/java.io.FilterInputStream.read(FilterInputStream.java:133) at java.base/java.io.FilterInputStream.read(FilterInputStream.java:133) at software.amazon.awssdk.core.io.SdkFilterInputStream.read(SdkFilterInputStream.java:66) at org.apache.iceberg.aws.s3.S3InputStream.read(S3InputStream.java:109) at org.apache.iceberg.shaded.org.apache.parquet.io.DelegatingSeekableInputStream.readFully(DelegatingSeekableInputStream.java:102) at org.apache.iceberg.shaded.org.apache.parquet.io.DelegatingSeekableInputStream.readFullyHeapBuffer(DelegatingSeekableInputStream.java:127) at org.apache.iceberg.shaded.org.apache.parquet.io.DelegatingSeekableInputStream.readFully(DelegatingSeekableInputStream.java:91) at org.apache.iceberg.shaded.org.apache.parquet.hadoop.ParquetFileReader$ConsecutivePartList.readAll(ParquetFileReader.java:1850) at org.apache.iceberg.shaded.org.apache.parquet.hadoop.ParquetFileReader.internalReadRowGroup(ParquetFileReader.java:990) at org.apache.iceberg.shaded.org.apache.parquet.hadoop.ParquetFileReader.readNextRowGroup(ParquetFileReader.java:940) at org.apache.iceberg.parquet.ParquetReader$FileIterator.advance(ParquetReader.java:147) ... 32 more ``` I run this code on a table with 1800 small files around 200kb each. -- This is an automated message from the Apache Git Service. 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