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[index] system table index add field #7623

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[index] system table index add field
jerry-024 Apr 10, 2026
e2893b0
fix
jerry-024 Apr 10, 2026
9badff5
fix
jerry-024 Apr 10, 2026
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34 changes: 28 additions & 6 deletions paimon-core/src/main/java/org/apache/paimon/table/system/TableIndexesTable.java
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Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,7 @@
import org.apache.paimon.disk.IOManager;
import org.apache.paimon.fs.FileIO;
import org.apache.paimon.index.DeletionVectorMeta;
import org.apache.paimon.index.GlobalIndexMeta;
import org.apache.paimon.index.IndexFileHandler;
import org.apache.paimon.index.IndexFileMetaSerializer;
import org.apache.paimon.manifest.IndexManifestEntry;
Expand Down Expand Up @@ -84,9 +85,11 @@ public class TableIndexesTable implements ReadonlyTable {
new DataField(4, "file_size", new BigIntType(false)),
new DataField(5, "row_count", new BigIntType(false)),
new DataField(
6,
"dv_ranges",
new ArrayType(true, DeletionVectorMeta.SCHEMA))));
6, "dv_ranges", new ArrayType(true, DeletionVectorMeta.SCHEMA)),
new DataField(7, "row_range_start", new BigIntType(true)),
new DataField(8, "row_range_end", new BigIntType(true)),
new DataField(9, "index_field_id", new IntType(true)),
new DataField(10, "index_field_name", newStringType(true))));

private final FileStoreTable dataTable;

Expand Down Expand Up @@ -201,10 +204,16 @@ public RecordReader<InternalRow> createReader(Split split) {
CastExecutors.resolveToString(
dataTable.schema().logicalPartitionType());

RowType logicalRowType = dataTable.schema().logicalRowType();

Iterator<InternalRow> rows =
Iterators.transform(
manifestFileMetas.iterator(),
indexManifestEntry -> toRow(indexManifestEntry, partitionCastExecutor));
indexManifestEntry ->
toRow(
indexManifestEntry,
partitionCastExecutor,
logicalRowType));
if (readType != null) {
rows =
Iterators.transform(
Expand All @@ -218,9 +227,18 @@ public RecordReader<InternalRow> createReader(Split split) {

private InternalRow toRow(
IndexManifestEntry indexManifestEntry,
CastExecutor<InternalRow, BinaryString> partitionCastExecutor) {
CastExecutor<InternalRow, BinaryString> partitionCastExecutor,
RowType logicalRowType) {
LinkedHashMap<String, DeletionVectorMeta> dvMetas =
indexManifestEntry.indexFile().dvRanges();
GlobalIndexMeta globalMeta = indexManifestEntry.indexFile().globalIndexMeta();
String indexFieldName = null;
if (globalMeta != null) {
try {
indexFieldName = logicalRowType.getField(globalMeta.indexFieldId()).name();
} catch (RuntimeException ignored) {
}
}
return GenericRow.of(
partitionCastExecutor.cast(indexManifestEntry.partition()),
indexManifestEntry.bucket(),
Expand All @@ -230,7 +248,11 @@ private InternalRow toRow(
indexManifestEntry.indexFile().rowCount(),
dvMetas == null
? null
: IndexFileMetaSerializer.dvMetasToRowArrayData(dvMetas.values()));
: IndexFileMetaSerializer.dvMetasToRowArrayData(dvMetas.values()),
globalMeta != null ? globalMeta.rowRangeStart() : null,
globalMeta != null ? globalMeta.rowRangeEnd() : null,
globalMeta != null ? globalMeta.indexFieldId() : null,
indexFieldName != null ? BinaryString.fromString(indexFieldName) : null);
}
}

Expand Down
50 changes: 50 additions & 0 deletions ...rk/paimon-spark-ut/src/test/scala/org/apache/paimon/spark/sql/LuminaVectorIndexTest.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -68,6 +68,56 @@ class LuminaVectorIndexTest extends PaimonSparkTestBase {
}
}

test("table_indexes system table - global index metadata") {
withTable("T") {
spark.sql("""
|CREATE TABLE T (id INT, v ARRAY<FLOAT>)
|TBLPROPERTIES (
| 'bucket' = '-1',
| 'global-index.row-count-per-shard' = '10000',
| 'row-tracking.enabled' = 'true',
| 'data-evolution.enabled' = 'true')
|""".stripMargin)

val values = (0 until 100)
.map(
i => s"($i, array(cast($i as float), cast(${i + 1} as float), cast(${i + 2} as float)))")
.mkString(",")
spark.sql(s"INSERT INTO T VALUES $values")

spark
.sql(
s"CALL sys.create_global_index(table => 'test.T', index_column => 'v', index_type => '$indexType', options => '$defaultOptions')")
.collect()

// Query table_indexes system table
val indexRows = spark
.sql("""
|SELECT index_type, row_count, row_range_start, row_range_end,
| index_field_id, index_field_name
|FROM `T$table_indexes`
|WHERE index_type = 'lumina-vector-ann'
|""".stripMargin)
.collect()

assert(indexRows.nonEmpty)
val row = indexRows.head
assert(row.getAs[String]("index_type") == "lumina-vector-ann")
assert(row.getAs[Long]("row_count") == 100L)
assert(row.getAs[Long]("row_range_start") == 0L)
assert(row.getAs[Long]("row_range_end") == 99L)
assert(row.getAs[String]("index_field_name") == "v")

// Verify max row id matches snapshot next_row_id - 1
val nextRowId = spark
.sql("SELECT next_row_id FROM `T$snapshots` ORDER BY snapshot_id DESC LIMIT 1")
.collect()
.head
.getAs[Long]("next_row_id")
assert(row.getAs[Long]("row_range_end") == nextRowId - 1)
}
}

test("create lumina vector index - with partitioned table") {
withTable("T") {
spark.sql("""
Expand Down