gaoshihang opened a new issue, #9851:
URL: https://github.com/apache/iceberg/issues/9851
### Apache Iceberg version
1.4.1
### Query engine
Other
### Please describe the bug 🐞
I try to using Databricks do Iceberg table compaction, But I encountered
this issue:
```
If you did not qualify the name with a schema, verify the current_schema()
output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF
EXISTS.
at
org.apache.iceberg.util.ExceptionUtil.castAndThrow(ExceptionUtil.java:39)
at org.apache.iceberg.util.Tasks.throwOne(Tasks.java:595)
at org.apache.iceberg.util.Tasks.access$100(Tasks.java:42)
at org.apache.iceberg.util.Tasks$Builder.runParallel(Tasks.java:394)
at org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:201)
at org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:196)
at
org.apache.iceberg.spark.actions.RewriteDataFilesSparkAction.doExecute(RewriteDataFilesSparkAction.java:283)
at
org.apache.iceberg.spark.actions.RewriteDataFilesSparkAction.execute(RewriteDataFilesSparkAction.java:178)
at
org.apache.iceberg.spark.actions.RewriteDataFilesSparkAction.execute(RewriteDataFilesSparkAction.java:72)
at
$line99c155946d9a44b8b055ab7d68cf3ffe41.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(
command-1532616048670819:32)
at
$line99c155946d9a44b8b055ab7d68cf3ffe41.$read$$iw$$iw$$iw$$iw$$iw.<init>(command-1532616048670819:93)
at
$line99c155946d9a44b8b055ab7d68cf3ffe41.$read$$iw$$iw$$iw$$iw.<init>(command-1532616048670819:95)
at
$line99c155946d9a44b8b055ab7d68cf3ffe41.$read$$iw$$iw$$iw.<init>(command-1532616048670819:97)
at
$line99c155946d9a44b8b055ab7d68cf3ffe41.$read$$iw$$iw.<init>(command-1532616048670819:99)
at
$line99c155946d9a44b8b055ab7d68cf3ffe41.$read$$iw.<init>(command-1532616048670819:101)
at
$line99c155946d9a44b8b055ab7d68cf3ffe41.$read.<init>(command-1532616048670819:103)
at
$line99c155946d9a44b8b055ab7d68cf3ffe41.$read$.<init>(command-1532616048670819:107)
at
$line99c155946d9a44b8b055ab7d68cf3ffe41.$read$.<clinit>(command-1532616048670819)
at
$line99c155946d9a44b8b055ab7d68cf3ffe41.$eval$.$print$lzycompute(<notebook>:7)
at $line99c155946d9a44b8b055ab7d68cf3ffe41.$eval$.$print(<notebook>:6)
at $line99c155946d9a44b8b055ab7d68cf3ffe41.$eval.$print(<notebook>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:747)
at
scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1020)
at
scala.tools.nsc.interpreter.IMain.$anonfun$interpret$1(IMain.scala:568)
at
scala.reflect.internal.util.ScalaClassLoader.asContext(ScalaClassLoader.scala:36)
at
scala.reflect.internal.util.ScalaClassLoader.asContext$(ScalaClassLoader.scala:116)
at
scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:41)
at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:567)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:594)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:564)
at
com.databricks.backend.daemon.driver.DriverILoop.execute(DriverILoop.scala:223)
at
com.databricks.backend.daemon.driver.ScalaDriverLocal.$anonfun$repl$1(ScalaDriverLocal.scala:236)
at
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at
com.databricks.backend.daemon.driver.DriverLocal$TrapExitInternal$.trapExit(DriverLocal.scala:1395)
at
com.databricks.backend.daemon.driver.DriverLocal$TrapExit$.apply(DriverLocal.scala:1348)
at
com.databricks.backend.daemon.driver.ScalaDriverLocal.repl(ScalaDriverLocal.scala:236)
at
com.databricks.backend.daemon.driver.DriverLocal.$anonfun$execute$33(DriverLocal.scala:997)
at
com.databricks.unity.UCSEphemeralState$Handle.runWith(UCSEphemeralState.scala:41)
at com.databricks.unity.HandleImpl.runWith(UCSHandle.scala:99)
at
com.databricks.backend.daemon.driver.DriverLocal.$anonfun$execute$22(DriverLocal.scala:980)
at
com.databricks.logging.UsageLogging.$anonfun$withAttributionContext$1(UsageLogging.scala:426)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at
com.databricks.logging.AttributionContext$.withValue(AttributionContext.scala:196)
at
com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:424)
at
com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:418)
at
com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:69)
at
com.databricks.logging.UsageLogging.withAttributionTags(UsageLogging.scala:470)
at
com.databricks.logging.UsageLogging.withAttributionTags$(UsageLogging.scala:455)
at
com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:69)
at
com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:935)
at
com.databricks.backend.daemon.driver.DriverWrapper.$anonfun$tryExecutingCommand$1(DriverWrapper.scala:798)
at scala.util.Try$.apply(Try.scala:213)
at
com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:790)
at
com.databricks.backend.daemon.driver.DriverWrapper.executeCommandAndGetError(DriverWrapper.scala:643)
at
com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:744)
at
com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:520)
at
com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:436)
at
com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:279)
at java.lang.Thread.run(Thread.java:750)
Caused by: org.apache.spark.sql.catalyst.analysis.NoSuchTableException:
[TABLE_OR_VIEW_NOT_FOUND] The table or view
`a69eeed1-7689-44af-a0d9-d77cd2c809d3` cannot be found. Verify the spelling and
correctness of the schema and catalog.
If you did not qualify the name with a schema, verify the current_schema()
output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF
EXISTS.
at
org.apache.iceberg.spark.SparkCatalog.loadTable(SparkCatalog.java:161)
at
org.apache.spark.sql.connector.catalog.CatalogV2Util$.getTable(CatalogV2Util.scala:367)
at
org.apache.spark.sql.execution.datasources.v2.DataSourceV2Utils$.loadV2Source(DataSourceV2Utils.scala:135)
at
org.apache.spark.sql.DataFrameReader.$anonfun$load$1(DataFrameReader.scala:333)
at scala.Option.flatMap(Option.scala:271)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:331)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:240)
at
org.apache.iceberg.spark.actions.SparkBinPackDataRewriter.doRewrite(SparkBinPackDataRewriter.java:52)
at
org.apache.iceberg.spark.actions.SparkSizeBasedDataRewriter.rewrite(SparkSizeBasedDataRewriter.java:58)
at
org.apache.iceberg.spark.actions.RewriteDataFilesSparkAction.lambda$rewriteFiles$0(RewriteDataFilesSparkAction.java:243)
at
org.apache.iceberg.spark.JobGroupUtils.withJobGroupInfo(JobGroupUtils.java:59)
at
org.apache.iceberg.spark.JobGroupUtils.withJobGroupInfo(JobGroupUtils.java:51)
at
org.apache.iceberg.spark.actions.BaseSparkAction.withJobGroupInfo(BaseSparkAction.java:132)
at
org.apache.iceberg.spark.actions.RewriteDataFilesSparkAction.rewriteFiles(RewriteDataFilesSparkAction.java:241)
at
org.apache.iceberg.spark.actions.RewriteDataFilesSparkAction.lambda$doExecute$2(RewriteDataFilesSparkAction.java:285)
at
org.apache.iceberg.util.Tasks$Builder.runTaskWithRetry(Tasks.java:413)
at org.apache.iceberg.util.Tasks$Builder.access$300(Tasks.java:69)
at org.apache.iceberg.util.Tasks$Builder$1.run(Tasks.java:315)
at
java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
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)
```
The code I used is:
```
import com.google.common.collect.ImmutableMap
import org.apache.hadoop.conf.Configuration
import org.apache.iceberg.actions.RewriteDataFiles
import org.apache.iceberg.catalog.TableIdentifier
import org.apache.iceberg.hadoop.HadoopCatalog
import org.apache.iceberg.spark.actions.SparkActions
import org.apache.spark.sql.SparkSession
import org.apache.iceberg.spark.Spark3Util
val spark = SparkSession.builder().appName("test_iceberg")
.config("spark.sql.extensions",
"org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions")
.config("spark.sql.defaultCatalog", "spark_catalog")
.config("spark.sql.catalog.spark_catalog",
"org.apache.iceberg.spark.SparkCatalog")
.config("spark.sql.catalog.spark_catalog.type", "hadoop")
.config("spark.sql.catalog.spark_catalog.warehouse",
"s3://identity-dev-databricks-unity-catalog-root-bucket-us-east-1/hoover_data/")
.config("spark.sql.catalog.spark_catalog.cache-enabled", "false")
.getOrCreate()
val hadoopCatalog = new HadoopCatalog()
hadoopCatalog.setConf(new Configuration())
hadoopCatalog.initialize("spark_catalog", ImmutableMap.of(
"warehouse",
"s3a://identity-dev-databricks-unity-catalog-root-bucket-us-east-1/hoover_data",
"io-impl", "org.apache.iceberg.aws.s3.S3FileIO"
))
val table =
hadoopCatalog.loadTable(TableIdentifier.parse("db.hoover_ack_5min_pruning"))
SparkActions
.get(spark)
.rewriteDataFiles(table)
.option(RewriteDataFiles.TARGET_FILE_SIZE_BYTES, (512 * 1024 *
1024).toString)
.execute()
spark.stop()
```
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