loserwang1024 commented on code in PR #2189:
URL: https://github.com/apache/fluss/pull/2189#discussion_r2626700528
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fluss-server/src/main/java/org/apache/fluss/server/coordinator/MetadataManager.java:
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@@ -322,24 +322,26 @@ public long createTable(
}
public void alterTableSchema(
- TablePath tablePath, List<TableChange> schemaChanges, boolean
ignoreIfNotExists)
+ TablePath tablePath,
+ List<TableChange> schemaChanges,
+ boolean ignoreIfNotExists,
+ @Nullable LakeCatalog lakeCatalog,
+ LakeCatalog.Context lakeCatalogContext)
throws TableNotExistException, TableNotPartitionedException {
try {
TableInfo table = getTable(tablePath);
- // TODO: remote this after lake enable table support schema
evolution, track by
- // https://github.com/apache/fluss/issues/2128
- if (table.getTableConfig().isDataLakeEnabled()) {
- throw new InvalidAlterTableException(
- "Schema evolution is currently not supported for
tables with datalake enabled.");
- }
-
// validate the table column changes
if (!schemaChanges.isEmpty()) {
Schema newSchema = SchemaUpdate.applySchemaChanges(table,
schemaChanges);
- // update the schema
- zookeeperClient.registerSchema(tablePath, newSchema,
table.getSchemaId() + 1);
+ // update the schema in Fluss (ZK) first - Fluss is the source
of truth
+ if (!newSchema.equals(table.getSchema())) {
Review Comment:
@buvb Yes, If no other add column is happened, it will handle it gracefully.
However, as I mention before:
Aassumed that:
1. Add column A
- zookeeperClient.registerSchema success
- syncSchemaChangesToLake fails
2. Add column B
- zookeeperClient.registerSchema success
- syncSchemaChangesToLake success
3. ReAdd column A
- SchemaUpdate.applySchemaChanges is Idempotent
- syncSchemaChangesToLake success.
Finally, Fluss Table is : column A, column B
Finally, Lake Table is : column B, column A.
I have been talked with jark. He advice to add column in lakehouse before
fluss. Maybe we can get the paimon rowType, and check whether is safe.
`RowType rowType = paimonCatalog.getTable(new
Identifier(tablePath.getDatabaseName(), tablePath.getTableName())).rowType();`
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