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CONNECT_BY_ISLEAF

Applies to ✅ Open Source Edition   ✅ Express Edition   ✅ Professional Edition   ✅ Enterprise Edition

The CONNECT_BY_ISLEAF pseudo column allows for detecting if the current row has no children in the hierachy (a "leaf" in a tree).

SELECT
  child,
  parent,
  sys_connect_by_path(child, '/'),
  connect_by_isleaf
FROM (
  VALUES
    (1, null),
    (2, 1),
    (3, 2),
    (4, 1)
) AS t (child, parent)
START WITH
  parent IS NULL
CONNECT BY NOCYCLE
  PRIOR child = parent;
Field<Integer> child = field("child", INTEGER);
Field<Integer> parent = field("parent", INTEGER);

ctx.select(
            child,
            parent,
            sysConnectByPath(child, "/"),
            connectByIsLeaf())
      .from(values(
            row(val(1), val(null, INTEGER)),
            row(2, 1),
            row(3, 2),
            row(4, 1)).as(table("t"), child, parent))
      .startWith(parent.isNull())
      .connectByNoCycle(prior(child).eq(parent))
      .fetch();

The result being, for example

+-------+--------+---------------------+-------------------+
| child | parent | sys_connect_by_path | connect_by_isleaf |
+-------+--------+---------------------+-------------------+
|     1 | {null} | /1                  | false             |
|     2 |      1 | /1/2                | false             |
|     3 |      2 | /1/2/3              | true              |
|     4 |      1 | /1/4                | true              |
+-------+--------+---------------------+-------------------+

Dialect support

This example using jOOQ:

connectByIsLeaf()

Translates to the following dialect specific expressions:

Exasol, Informix, Oracle

connect_by_isleaf

ASE, Access, Aurora MySQL, Aurora Postgres, BigQuery, ClickHouse, CockroachDB, DB2, Databricks, Derby, DuckDB, Firebird, H2, HSQLDB, Hana, MariaDB, MemSQL, MySQL, Postgres, Redshift, SQLDataWarehouse, SQLServer, SQLite, Snowflake, Sybase, Teradata, Trino, Vertica, YugabyteDB

/* UNSUPPORTED */
Generated with jOOQ 3.21. Support in older jOOQ versions may differ. Translate your own SQL on our website

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