github-actions[bot] commented on code in PR #67904:
URL: https://github.com/apache/doris/pull/67904#discussion_r3999084520


##########
fe/fe-connector/fe-connector-paimon/src/main/java/org/apache/doris/connector/paimon/PaimonScanParams.java:
##########
@@ -196,8 +197,12 @@ public static FileStoreTable applyOptionsWithoutTimeTravel(
                     .filter(key -> !tableOptions.containsKey(key))
                     .forEach(key -> isolatedOptions.put(key, null));
         }
-        // The statement fence already selected the schema generation. 
Preserve that generation
-        // while carrying only the resolved read selector and execution 
options into this copy.
+        String schemaId = options.get(BOUND_SCHEMA_ID);
+        if (schemaId != null && table.schema().id() != 
Long.parseLong(schemaId)) {
+            // A cached table can predate binding, and latest can advance 
again after binding.
+            // Copy the exact schema while retaining catalog options, 
decorators and branch identity.

Review Comment:
   [P1] Keep schema-owned options from the same generation as these fields. 
This copies the bound schema S2 with `table.options()` from the currently 
loaded table, which can be stale S1 or later S3. Paimon rewrites 
field-referencing options such as `bucket-key`/`sequence.field` during renames; 
for example, restoring S2 fields after a key rename with S1's bucket-key name 
fails `TableSchema` validation or changes read semantics. Preserve S2's 
schema-owned options and overlay only the catalog/runtime options that must 
survive this copy; add a warm-cache rename test for a bucket/sequence field.



##########
regression-test/suites/external_table_p0/paimon/test_paimon_schema_only_snapshot_precision.groovy:
##########
@@ -0,0 +1,125 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+suite("test_paimon_schema_only_snapshot_precision", "p0,external,paimon") {
+    String enabled = context.config.otherConfigs.get("enablePaimonTest")
+    if (enabled == null || !enabled.equalsIgnoreCase("true")) {
+        logger.info("disable paimon test")
+        return
+    }
+
+    String minioPort = context.config.otherConfigs.get("iceberg_minio_port")
+    String externalEnvIp = context.config.otherConfigs.get("externalEnvIp")
+    String catalogName = "test_paimon_schema_only_snapshot_precision"
+    String dbName = "paimon_schema_only_snapshot_precision_db"
+    String tableName = "schema_only_timeline"
+    String branchName = "schema_only_branch"
+
+    def latestSnapshotId = {
+        List<List<Object>> rows = spark_paimon """
+            select snapshot_id
+            from paimon.${dbName}.`${tableName}\$snapshots`
+            order by snapshot_id desc
+            limit 1
+        """
+        assertEquals(1, rows.size())
+        return rows[0][0].toString()
+    }
+
+    sql """drop catalog if exists ${catalogName}"""
+    sql """
+        create catalog ${catalogName} properties (
+            'type'='paimon',
+            'warehouse'='s3://warehouse/wh',
+            's3.endpoint'='http://${externalEnvIp}:${minioPort}',
+            's3.access_key'='admin',
+            's3.secret_key'='password',
+            's3.path.style.access'='true',
+            'meta.cache.paimon.table.ttl-second'='0'
+        )
+    """
+
+    try {
+        // Explicit NTZ makes this exercise predicate pushdown instead of LTZ 
residual filtering.
+        spark_paimon_multi """
+            create database if not exists paimon.${dbName};
+            drop table if exists paimon.${dbName}.${tableName};
+            create table paimon.${dbName}.${tableName} (
+                id int,
+                old_name string,
+                event_time timestamp_ntz
+            ) using paimon
+            tblproperties ('file.format'='parquet');
+            insert into paimon.${dbName}.${tableName}
+                values (1, 'base', timestamp_ntz '2024-01-01 00:00:00.123456');
+        """
+        String dataSnapshotId = latestSnapshotId()
+        spark_paimon_multi """
+            call paimon.sys.create_tag(
+                table => '${dbName}.${tableName}',
+                tag => 'schema_base'
+            );
+            call paimon.sys.create_branch(
+                '${dbName}.${tableName}',
+                '${branchName}',
+                'schema_base'
+            );
+            alter table paimon.${dbName}.`${tableName}\$branch_${branchName}`
+                rename column old_name to branch_name;
+            alter table paimon.${dbName}.${tableName}
+                rename column old_name to current_name;
+        """
+
+        // A schema-only rename must leave the data snapshot unchanged; 
otherwise these queries
+        // would not exercise the split between current schema binding and 
snapshot-pinned data.
+        assertEquals(dataSnapshotId, latestSnapshotId())
+
+        sql """switch ${catalogName}"""
+        sql """use ${dbName}"""
+        sql """refresh table ${tableName}"""
+
+        assertEquals([[1, "base"]], sql("""

Review Comment:
   [P2] Record these deterministic rows through the regression harness. The 
five fixed result checks below use `assertEquals(sql(...))`, so this new suite 
has no generated `.out` baseline even though root `AGENTS.md` requires 
determined results to use `qt_`/`order_qt_` cases. Please keep the snapshot-id 
setup assertion, but convert the stable plain, OPTIONS, branch, native, and JNI 
queries to uniquely named `order_qt_` cases and generate the matching output 
file.



##########
fe/fe-connector/fe-connector-paimon/src/main/java/org/apache/doris/connector/paimon/PaimonPredicateConverter.java:
##########
@@ -329,15 +328,10 @@ private Object convertLiteralValue(ConnectorLiteral 
literal, DataType paimonType
                 }
                 return null;
             case TIMESTAMP_WITHOUT_TIME_ZONE:
-                // Zone-free type: interpret the literal's wall-clock in UTC 
to match paimon's
-                // stored min/max file/partition stats (computed by reading 
the wall clock as UTC).
-                // Mirrors legacy PaimonValueConverter#visit(TimestampType), 
which uses a fixed
-                // GMT Calendar. Using the session zone here would shift the 
epoch-millis vs the
-                // stored stats and risk false file/partition pruning = silent 
data loss.
+                // Preserve the complete wall-clock value: narrowing it to 
epoch milliseconds can
+                // make Paimon prune every file matching a 
non-millisecond-aligned predicate.
                 if (value instanceof LocalDateTime) {
-                    LocalDateTime dt = (LocalDateTime) value;
-                    long millis = dt.toInstant(ZoneOffset.UTC).toEpochMilli();
-                    return Timestamp.fromEpochMillis(millis);

Review Comment:
   [P1] Avoid exact pushdown when source timestamp precision exceeds Doris's 
scale. Paimon `TIMESTAMP(7..9)` is exposed as `DATETIMEV2(6)`, and the readers 
truncate sub-microsecond digits. A stored `.123456789` therefore compares equal 
to `.123456` in Doris, but this creates an exact Paimon literal `.123456000`; 
equality/file statistics can prune the row before residual evaluation. Gate 
pushdown for source precision above 6 or translate comparisons into safe 
microsecond ranges, and add a `TIMESTAMP(9)` test with nonzero sub-microsecond 
digits.



##########
fe/fe-connector/fe-connector-paimon/src/main/java/org/apache/doris/connector/paimon/PaimonScanParams.java:
##########
@@ -196,8 +197,12 @@ public static FileStoreTable applyOptionsWithoutTimeTravel(
                     .filter(key -> !tableOptions.containsKey(key))
                     .forEach(key -> isolatedOptions.put(key, null));
         }
-        // The statement fence already selected the schema generation. 
Preserve that generation
-        // while carrying only the resolved read selector and execution 
options into this copy.
+        String schemaId = options.get(BOUND_SCHEMA_ID);
+        if (schemaId != null && table.schema().id() != 
Long.parseLong(schemaId)) {
+            // A cached table can predate binding, and latest can advance 
again after binding.
+            // Copy the exact schema while retaining catalog options, 
decorators and branch identity.

Review Comment:
   [P1] Rebuild fallback branches separately here. When `table` is a 
`FallbackReadFileStoreTable`, `copy(TableSchema)` applies this main schema to 
both children; Paimon 1.3.1 only preserves the fallback branch option if the 
incoming schema already contains `branch`. A normal main schema does not, so 
the fallback child defaults back to main, both scans read main, and 
fallback-only partitions can be silently omitted. Preserve each child's 
branch/schema provenance (and privilege wrapper) rather than sending one schema 
through polymorphic copy, and cover a stale privilege-decorated fallback pair.



##########
fe/fe-core/src/main/java/org/apache/doris/datasource/mvcc/PluginDrivenMvccExternalTable.java:
##########
@@ -172,6 +172,14 @@ private PluginDrivenMvccSnapshot materializeLatest(
         // legacy listPartitions/LIST/timestamp path below (byte-unchanged; 
the no-op applySnapshot for the
         // latest pin is side-effect-free for both paimon and iceberg).
         ConnectorTableHandle pinnedHandle = metadata.applySnapshot(session, 
handle, connectorSnapshot);
+        PluginDrivenSchemaCacheValue pinnedSchema = null;
+        if (connectorSnapshot.getSchemaId() >= 0) {
+            // Latest data and schema can advance independently. Keep the 
connector's exact schema
+            // on the statement pin so analysis cannot fall back to a 
different cached generation.
+            ConnectorTableSchema atSchema = metadata.getTableSchema(session, 
pinnedHandle, connectorSnapshot);

Review Comment:
   [P1] Keep connector-generic pinned schemas internally version-consistent. 
Iceberg's `getTableSchema(..., snapshot A)` takes columns from schema A, but 
its shared builder still derives `partition_columns` from the live current 
table/schema. With REST vended credentials the latest pin is cached while the 
table is reloaded each query, so a schema-only partition-source rename can 
yield historical column `old` plus `partition_columns=new`; 
`toSchemaCacheValue` then silently drops the unmatched partition column. Please 
make Iceberg derive partition identity from the same historical schema/spec 
coordinate before installing this generic pin, and add a 
latest-cache-hit/live-table rename test.



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