Test ignored. java.lang.IllegalStateException: Unable to find a @SpringBootConfiguration, you need to use @ContextConfiguration or @SpringBootTest(classes=...) with your test at org.springframework.util.Assert.state(Assert.java:76) at org.springframework.boot.test.context.SpringBootTestContextBootstrapper.getOrFindConfigurationClasses(SpringBootTestContextBootstrapper.java:237) at org.springframework.boot.test.context.SpringBootTestContextBootstrapper.processMergedContextConfiguration(SpringBootTestContextBootstrapper.java:152) at org.springframework.test.context.support.AbstractTestContextBootstrapper.buildMergedContextConfiguration(AbstractTestContextBootstrapper.java:393) at org.springframework.test.context.support.AbstractTestContextBootstrapper.buildDefaultMergedContextConfiguration(AbstractTestContextBootstrapper.java:309) at org.springframework.test.context.support.AbstractTestContextBootstrapper.buildMergedContextConfiguration(AbstractTestContextBootstrapper.java:262) at org.springframework.test.context.support.AbstractTestContextBootstrapper.buildTestContext(AbstractTestContextBootstrapper.java:107) at org.springframework.boot.test.context.SpringBootTestContextBootstrapper.buildTestContext(SpringBootTestContextBootstrapper.java:102) at org.springframework.test.context.TestContextManager.<init>(TestContextManager.java:137) at org.springframework.test.context.TestContextManager.<init>(TestContextManager.java:122) at org.junit.jupiter.engine.execution.ExtensionValuesStore.lambda$getOrComputeIfAbsent$4(ExtensionValuesStore.java:86) at org.junit.jupiter.engine.execution.ExtensionValuesStore$MemoizingSupplier.computeValue(ExtensionValuesStore.java:223) at org.junit.jupiter.engine.execution.ExtensionValuesStore$MemoizingSupplier.get(ExtensionValuesStore.java:211) at org.junit.jupiter.engine.execution.ExtensionValuesStore$StoredValue.evaluate(ExtensionValuesStore.java:191) at org.junit.jupiter.engine.execution.ExtensionValuesStore$StoredValue.acces

这个错误是由于在你的测试类中没有指定Spring Boot配置导致的。你可以通过使用`@SpringBootTest`注解来指定Spring Boot的配置类。例如：

@SpringBootTest(classes = YourApplication.class) 
public class YourTest {
    // 测试方法...
}

其中`YourApplication.class`是你的Spring Boot应用程序的主要配置类。通过指定这个注解，你可以确保在测试过程中正确加载Spring Boot上下文。

相关问题

mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored. mysqld: [Warning] World-writable config file '/etc/mysql/my.cnf' is ignored

这个警告消息表示 MySQL 配置文件 `/etc/mysql/my.cnf` 是可写的，这可能会导致潜在的安全问题。在 MySQL 启动时，它会忽略这个文件以保证安全性。

为了解决这个问题，你需要使 `/etc/mysql/my.cnf` 文件不可写。你可以使用以下命令来更改文件权限：

sudo chmod 644 /etc/mysql/my.cnf

这将把文件权限修改为 `-rw-r--r--`，其中所有者具有读写权限，而组和其他用户只有读权限。这将确保 MySQL 可以读取配置文件，同时保护文件不被任意修改。

ARN DataSource: All paths were ignored: org.apache.spark.sql.AnalysisException: [UNABLE_TO_INFER_SCHEMA] Unable to infer schema for CSV. It must be specified manually.

这个错误通常是由于 Spark 无法自动推断 CSV 文件的架构而导致的。解决这个问题的方法是手动指定 CSV 文件的模式。你可以使用以下代码来读取 CSV 文件并手动指定模式：

from pyspark.sql.types import StructType, StructField, StringType, IntegerType

customSchema = StructType([
    StructField("column1", StringType(), True),
    StructField("column2", IntegerType(), True),
    StructField("column3", IntegerType(), True),
    StructField("column4", StringType(), True)])

df = spark.read.format("csv") \
    .option("header", "true") \
    .schema(customSchema) \
    .load("path/to/csv/file")

在这个示例中，我们手动指定了 CSV 文件的模式，其中列名为 column1、column2、column3 和 column4，它们的数据类型分别为字符串、整数和整数。你可以根据 CSV 文件的实际情况修改这个模式。