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doris/fe
hui lai 4b72a4c04e [improve](routine load) delay schedule EOF tasks to avoid too many small transactions (#39975) (#40509)
pick (#39975)

We encountered a scenario where a large number of small transactions
were generated, resulting in an impact on query performance: Kafka's
data comes in batches of very small data every very short time, which
leads to tasks being frequently scheduled and ending very quickly,
resulting in a large number of small transactions.

To solve this problem, we delay the scheduling of tasks that perceive
EOF, which would not delay data consumption, for perceiving EOF
indicates that the consumption speed is greater than the production
speed.
2024-09-09 11:36:22 +08:00
..

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# fe-common

This module is used to store some common classes of other modules.

# spark-dpp

This module is Spark DPP program, used for Spark Load function.
Depends: fe-common

# fe-core

This module is the main process module of FE.
Depends: fe-common, spark-dpp