Help Center/ MapReduce Service/ Component Operation Guide (LTS) (Ankara Region)/ Using Spark/ Spark FAQ/ Spark SQL and DataFrame/ Why Does 16 Terabytes of Text Data Fails to Be Converted into 4 Terabytes of Parquet Data?
Updated on 2024-11-29 GMT+08:00

Why Does 16 Terabytes of Text Data Fails to Be Converted into 4 Terabytes of Parquet Data?

Question

When the default configuration is used, 16 terabytes of text data fails to be converted into 4 terabytes of parquet data, and the error information below is displayed. Why?

Job aborted due to stage failure: Task 2866 in stage 11.0 failed 4 times, most recent failure: Lost task 2866.6 in stage 11.0 (TID 54863, linux-161, 2): java.io.IOException: Failed to connect to /10.16.1.11:23124
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:214)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
at org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:92)

Table 1 lists the default configuration.

Table 1 Parameter Description

Parameter

Description

Default Value

spark.sql.shuffle.partitions

Number of shuffle data blocks during the shuffle operation.

200

spark.shuffle.sasl.timeout

Timeout interval of SASL authentication for the shuffle operation. Unit: second

120s

spark.shuffle.io.connectionTimeout

Timeout interval for connecting to a remote node during the shuffle operation. Unit: second

120s

spark.network.timeout

Timeout interval for all network connection operations. Unit: second

360s

Answer

The current data volume is 16 TB, but the number of partitions is only 200. As a result, each task is overloaded and the preceding problem occurs.

To solve the preceding problem, you need to adjust the parameters.

  • Increase the number of partitions to divide the task into smaller ones.
  • Increase the timeout interval during task execution.

Configure the following parameters in the spark-defaults.conf file on the client:

Table 2 Parameter Description

Parameter

Description

Recommended Value

spark.sql.shuffle.partitions

Number of shuffle data blocks during the shuffle operation.

4501

spark.shuffle.sasl.timeout

Timeout interval of SASL authentication for the shuffle operation. Unit: second

2000s

spark.shuffle.io.connectionTimeout

Timeout interval for connecting to a remote node during the shuffle operation. Unit: second

3000s

spark.network.timeout

Timeout interval for all network connection operations. Unit: second

360s