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SPARK - LRBA 10

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SPARK - LRBA 10

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Played 25 %Accuracy 80 Average time 05:44
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About this activity

Funcionamiento de lrba job manager

Created by

HR Mexico
HR Mexico
Mexico

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SPARK - LRBA 10
 

SPARK - LRBA 10Online version

Funcionamiento de lrba job manager

by HR Mexico
1

¿Cuál es el rol principal del Task Dispatcher en LRBA Job Manager?

2

En LRBA, ¿qué backend persiste el estado del Job Manager por defecto?

3

¿Qué configuración habilita dynamic allocation en LRBA?

4

¿Qué optimización reduce I/O en shuffles de LRBA?

5

En fault-tolerance LRBA, ¿qué detecta y clona stragglers?

6

¿Quién es el endpoint REST para job submission en LRBA?

7

¿Qué algoritmo usa leader election en HA LRBA?

8

En BBVA, ¿qué redujo tiempo de ETL de 4h a 1.5h?

9

¿Cuál propiedad controla min executors en LRBA scheduler?

10

¿Qué habilita vectorized UDFs en LRBA?

11

En Walmart caso, ¿qué evitó OOM en shuffles?

12

¿Frecuencia de heartbeats LRBA executors?

13

¿Qué modo recovery usa WAL en LRBA?

14

¿Qué scheduler soporta LRBA por defecto?

15

En Telcel caso, ¿qué aceleró graph algos?

16

¿Métrica alerta shuffle spill en LRBA?

17

¿Qué evita broadcasts >1GB en LRBA?

18

¿Backend para LRBA state HA?

19

En Banorte, ¿qué permite audit replay?

20

Ventaja clave LRBA vs legacy Spark?

Explicación

El Task Dispatcher usa ring buffer y token bucket para dispatch eficiente, desacoplando scheduling de ejecución.

RocksDB maneja in-memory con spill para job progress y lineage.

Estándar Spark config, extendida a LRBA para escalado min/max executors.

Usa RDMA/mmap para transfers sin copia, ahorrando 70% I/O.

Clona tasks >2x latencia media en otros executors.

API estándar para cluster-deployed submissions.

Raft consensus en ZooKeeper/etcd para leader lock.

AQE maneja skew en joins high-volume.

Parte de dynamic allocation framework.

Apache Arrow acelera scans 5x en batch.

Compress spills reduce memoria peak.

Balance detección failure y overhead.

Permite restart desde log persistente.

Híbrido con pool weights.

Barriers para sync + native threads.

Prometheus gauge custom LRBA.

P2P dissemination para large vars.

Quorum para locks y coordination.

WAL + lineage para strict compliance.

Servicio persistente elimina driver init overhead.

 
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