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Original file line number Diff line number Diff line change
Expand Up @@ -26,3 +26,6 @@ parquet.reader.chunk-read-limit=0
# Limit (in bytes) on the amount of memory used for reading and decompressing data or 0 if there is no limit
parquet.reader.pass-read-limit=0
cudf.hive.use-buffered-input=false

# Turn on to use hybrid parquet reader. (Separate IO and compute)
#cudf.hive.use-experimental-reader=true
Original file line number Diff line number Diff line change
Expand Up @@ -38,4 +38,21 @@ cudf.exchange=false
cudf.exchange.server.port=8083
cudf.memory_resource=async

# Turn on to use intra-node exchange optimization.
# NOTE: In cudf exchange 20260212 branch, this is needed for UCX to use nvlink.
#cudf.intra_node_exchange=true

# Turn on to use rebatching to minimum of 100m rows (currently only before aggregations).
#cudf.batch_size_min_threshold=100000000
#cudf.concat_optimization_enabled=true

# =================================================================================
# NOTE: This setting is not yet propagated to the worker properly because only a fixed set of query configs are supported.
# https://github.com/prestodb/presto/blob/a62672886152c8c6b61cf301d246f217d850e357/presto-native-execution/presto_cpp/main/PrestoToVeloxQueryConfig.cpp#L106-L224
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@GregoryKimball GregoryKimball Feb 24, 2026

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How can I tell which configs work and which require hardcoding? Will this diff help? prestodb/presto#27164

# As a result, this needs to be hardcoded right now.

# Turn on to use 100M rows per chunk for cudf partitioned output.
#cudf.partitioned_output_batch_rows=100000000
# =================================================================================

async-data-cache-enabled=false
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