如何在Spark中打开TRACE日志记录

Question

我注意到，每次催化剂改变计划时，spark中的RuleExecutor都会执行跟踪日志：

https://github.com/apache/spark/blob/78801881c405de47f7e53eea3e0420dd69593dbd/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/rules/RuleExecutor.scala#L93

我想知道的是如何配置spark以便打开跟踪日志记录？ 我正在使用log4j，并且遇到了以下文档： https : //jaceklaskowski.gitbooks.io/mastering-apache-spark/spark-logging.html

我一直在研究代码一段时间，并且看到可以将'log4j.threshold = TRACE'设置为使记录器的一部分处于跟踪模式，但是我似乎无法使催化剂使用催化剂拿起设置。

我究竟做错了什么？

Answer 1

我只是尝试了一个简单的结构化流程序，从IntelliJ中的Kafka读取数据，以下语句对我有用，即给了我跟踪级别的日志：

SparkSession.builder().getOrCreate().sparkContext().setLogLevel("TRACE");

这是显示某些跟踪日志的输出的一部分：

...
...
18/10/12 23:56:02 TRACE package$ExpressionCanonicalizer: Fixed point reached for batch CleanExpressions after 1 iterations.
18/10/12 23:56:02 TRACE package$ExpressionCanonicalizer: Batch CleanExpressions has no effect.
18/10/12 23:56:02 TRACE package$ExpressionCanonicalizer: Fixed point reached for batch CleanExpressions after 1 iterations.
18/10/12 23:56:02 TRACE package$ExpressionCanonicalizer: Batch CleanExpressions has no effect.
18/10/12 23:56:02 TRACE package$ExpressionCanonicalizer: Fixed point reached for batch CleanExpressions after 1 iterations.
18/10/12 23:56:02 TRACE package$ExpressionCanonicalizer: Batch CleanExpressions has no effect.
18/10/12 23:56:02 TRACE package$ExpressionCanonicalizer: Fixed point reached for batch CleanExpressions after 1 iterations.
18/10/12 23:56:02 TRACE package$ExpressionCanonicalizer: Batch CleanExpressions has no effect.
+-----+----+-----+-----------------------+
|topic|key |value|timestamp              |
+-----+----+-----+-----------------------+
|test |null|hi345|2018-10-12 23:56:00.099|
+-----+----+-----+-----------------------+
18/10/12 23:56:02 DEBUG GenerateUnsafeProjection: code for input[0, string, true],input[1, string, true],input[2, string, true],input[3, string, true]:
/* 001 */ public java.lang.Object generate(Object[] references) {
/* 002 */   return new SpecificUnsafeProjection(references);
/* 003 */ }
/* 004 */
/* 005 */ class SpecificUnsafeProjection extends org.apache.spark.sql.catalyst.expressions.UnsafeProjection {
/* 006 */
/* 007 */   private Object[] references;
...
...

希望这可以帮助！