dpaani opened a new issue, #7227:
URL: https://github.com/apache/iceberg/issues/7227
### Apache Iceberg version
1.2.0 (latest release)
### Query engine
Spark
### Please describe the bug 🐞
When executing a DROP SQL on an Iceberg table where the table location does
not exist, it throws the following exception:
```
Location does not exist:
s3a://<bucket>/<key-path>/metadata/00001-06c101d1-ef87-4c55-bfe3-8bf4332cff26.metadata.json
org.apache.iceberg.exceptions.NotFoundException: Location does not exist:
s3a://<bucket>/<key-path>/metadata/00001-06c101d1-ef87-4c55-bfe3-8bf4332cff26.metadata.json
at
org.apache.iceberg.aws.s3.S3InputStream.openStream(S3InputStream.java:193)
at
org.apache.iceberg.aws.s3.S3InputStream.positionStream(S3InputStream.java:176)
at org.apache.iceberg.aws.s3.S3InputStream.read(S3InputStream.java:106)
at
org.apache.iceberg.shaded.com.fasterxml.jackson.core.json.ByteSourceJsonBootstrapper.ensureLoaded(ByteSourceJsonBootstrapper.java:539)
at
org.apache.iceberg.shaded.com.fasterxml.jackson.core.json.ByteSourceJsonBootstrapper.detectEncoding(ByteSourceJsonBootstrapper.java:133)
at
org.apache.iceberg.shaded.com.fasterxml.jackson.core.json.ByteSourceJsonBootstrapper.constructParser(ByteSourceJsonBootstrapper.java:256)
at
org.apache.iceberg.shaded.com.fasterxml.jackson.core.JsonFactory._createParser(JsonFactory.java:1655)
at
org.apache.iceberg.shaded.com.fasterxml.jackson.core.JsonFactory.createParser(JsonFactory.java:1083)
at
org.apache.iceberg.shaded.com.fasterxml.jackson.databind.ObjectMapper.readValue(ObjectMapper.java:3666)
at
org.apache.iceberg.TableMetadataParser.read(TableMetadataParser.java:267)
at
org.apache.iceberg.TableMetadataParser.read(TableMetadataParser.java:260)
at
org.apache.iceberg.BaseMetastoreTableOperations.lambda$refreshFromMetadataLocation$0(BaseMetastoreTableOperations.java:186)
at
org.apache.iceberg.BaseMetastoreTableOperations.lambda$refreshFromMetadataLocation$1(BaseMetastoreTableOperations.java:205)
at
org.apache.iceberg.util.Tasks$Builder.runTaskWithRetry(Tasks.java:402)
at
org.apache.iceberg.util.Tasks$Builder.runSingleThreaded(Tasks.java:212)
at org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:196)
at org.apache.iceberg.util.Tasks$Builder.run(Tasks.java:189)
at
org.apache.iceberg.BaseMetastoreTableOperations.refreshFromMetadataLocation(BaseMetastoreTableOperations.java:205)
at
org.apache.iceberg.BaseMetastoreTableOperations.refreshFromMetadataLocation(BaseMetastoreTableOperations.java:182)
at
org.apache.iceberg.BaseMetastoreTableOperations.refreshFromMetadataLocation(BaseMetastoreTableOperations.java:177)
at
org.apache.iceberg.hive.HiveTableOperations.doRefresh(HiveTableOperations.java:251)
at
org.apache.iceberg.BaseMetastoreTableOperations.refresh(BaseMetastoreTableOperations.java:100)
at
org.apache.iceberg.BaseMetastoreTableOperations.current(BaseMetastoreTableOperations.java:83)
at
org.apache.iceberg.BaseMetastoreCatalog.loadTable(BaseMetastoreCatalog.java:44)
at org.apache.iceberg.spark.SparkCatalog.load(SparkCatalog.java:819)
at
org.apache.iceberg.spark.SparkCatalog.loadTable(SparkCatalog.java:159)
at
org.apache.iceberg.spark.SparkSessionCatalog.loadTable(SparkSessionCatalog.java:138)
at
org.apache.spark.sql.connector.catalog.CatalogV2Util$.loadTable(CatalogV2Util.scala:311)
```
In this case, the Iceberg table still exists in the metastore, and we need
a way to drop it from the metastore.
It is possible to do this without configuring spark_catalog with
SparkSessionCatalog or SparkCatalog. However, it is still required even if the
spark catalog is configured.
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