felixYyu commented on issue #3558:
URL: https://github.com/apache/iceberg/issues/3558#issuecomment-1000556478
Hi Russell，I test flow：
```
1.public class SparkCatalog extends BaseCatalog implements
SupportsPartitionManagement
2.in TestPartitionedWrites's junit
@Test
public void testAddPartition() {
sql("ALTER TABLE %s ADD IF NOT EXISTS PARTITION (data='1')", tableName);
spark.table(tableName).printSchema();
}
@Test
public void testDropPartition() {
sql("ALTER TABLE %s DROP IF EXISTS PARTITION (data_bucket=3)",
tableName);
}
3.error log
org.apache.iceberg.spark.sql.TestPartitionedWrites >
testAddPartition[catalogName = testhive, implementation =
org.apache.iceberg.spark.SparkCatalog, config = {type=hive,
default-namespace=default}] FAILED
org.apache.spark.sql.AnalysisException: Table testhive.default.table
does not support partition management.;
'AddPartitions [unresolvedpartitionspec((data,1), None)], true
+- ResolvedTable org.apache.iceberg.spark.SparkCatalog@1a4564a2,
default.table, testhive.default.table, [id#9L, data#10]
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.failAnalysis(CheckAnalysis.scala:51)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.failAnalysis$(CheckAnalysis.scala:50)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:172)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$1(CheckAnalysis.scala:151)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis$1$adapted(CheckAnalysis.scala:94)
at
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:263)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis(CheckAnalysis.scala:94)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis$(CheckAnalysis.scala:91)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:172)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:195)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:330)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:192)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:88)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:196)
at
org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at
org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:196)
at
org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:88)
at
org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:86)
at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:78)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:98)
at
org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
at
org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
at org.apache.iceberg.spark.SparkTestBase.sql(SparkTestBase.java:95)
at
org.apache.iceberg.spark.sql.TestPartitionedWrites.testAddPartition(TestPartitionedWrites.java:182)
```
Table testhive.default.table does not support partition management. How
support partition management? thanks.
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