LiaCastaneda commented on code in PR #18393:
URL: https://github.com/apache/datafusion/pull/18393#discussion_r2546211676
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datafusion/common/src/config.rs:
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@@ -1019,6 +1019,22 @@ config_namespace! {
/// will be collected into a single partition
pub hash_join_single_partition_threshold_rows: usize, default = 1024 *
128
+ /// Maximum size in bytes for the build side of a hash join to be
pushed down as an InList expression for dynamic filtering.
+ /// Build sides larger than this will use hash table lookups instead.
+ /// Set to 0 to always use hash table lookups.
+ ///
+ /// InList pushdown can be more efficient for small build sides
because it can result in better
+ /// statistics pruning as well as use any bloom filters present on the
scan side.
+ /// InList expressions are also more transparent and easier to
serialize over the network in distributed uses of DataFusion.
+ /// On the other hand InList pushdown requires making a copy of the
data and thus adds some overhead to the build side and uses more memory.
+ ///
+ /// This setting is per-partition, so we may end up using
`hash_join_inlist_pushdown_max_size` * `target_partitions` memory.
+ ///
+ /// The default is 128kB per partition.
+ /// This should allow point lookup joins (e.g. joining on a unique
primary key) to use InList pushdown in most cases
+ /// but avoids excessive memory usage or overhead for larger joins.
+ pub hash_join_inlist_pushdown_max_size: usize, default = 128 * 1024
Review Comment:
I got this idea from trino:
https://trino.io/docs/current/admin/dynamic-filtering.html#dynamic-filter-collection-thresholds
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