异常信息如下：
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at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
java.lang.RuntimeException: MetaException(message:java.lang.ClassNotFoundException Class org.apache.hadoop.hive.contrib.serde2.RegexSerDe not found)
at org.apache.hadoop.hive.ql.metadata.Table.getDeserializerFromMetaStore(Table.java:290)
at org.apache.hadoop.hive.ql.metadata.Table.getDeserializer(Table.java:281)
at org.apache.hadoop.hive.ql.metadata.Table.getCols(Table.java:631)
at org.apache.hadoop.hive.ql.metadata.Table.checkValidity(Table.java:189)
at org.apache.hadoop.hive.ql.metadata.Hive.getTable(Hive.java:1017)
at org.apache.hadoop.hive.ql.metadata.Hive.getTable(Hive.java:950)
at org.apache.spark.sql.hive.HiveMetastoreCatalog.lookupRelation(HiveMetastoreCatalog.scala:201)
at org.apache.spark.sql.hive.HiveContext$$anon$2.org$apache$spark$sql$catalyst$analysis$OverrideCatalog$$super$lookupRelation(HiveContext.scala:262)
at org.apache.spark.sql.catalyst.analysis.OverrideCatalog$$anonfun$lookupRelation$3.apply(Catalog.scala:161)
at org.apache.spark.sql.catalyst.analysis.OverrideCatalog$$anonfun$lookupRelation$3.apply(Catalog.scala:161)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.sql.catalyst.analysis.OverrideCatalog$class.lookupRelation(Catalog.scala:161)
at org.apache.spark.sql.hive.HiveContext$$anon$2.lookupRelation(HiveContext.scala:262)
at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.getTable(Analyzer.scala:174)
at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$6.applyOrElse(Analyzer.scala:186)
at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$6.applyOrElse(Analyzer.scala:181)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:188)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:188)
背景：
CREATE TABLE apachelog (
host STRING,
identity STRING,
user STRING,
time STRING,
request STRING,
status STRING,
size STRING,
referer STRING,
agent STRING)
ROW FORMAT SERDE 'org.apache.hadoop.hive.contrib.serde2.RegexSerDe'
WITH SERDEPROPERTIES (
"input.regex" = "([^]*) ([^]*) ([^]*) (-|\\[^\\]*\\]) ([^ \"]*|\"[^\"]*\") (-|[0-9]*) (-|[0-9]*)(?: ([^ \"]*|\".*\") ([^ \"]*|\".*\"))?"
)
STORED AS TEXTFILE;
因为建表时使用了 'org.apache.hadoop.hive.contrib.serde2.RegexSerDe'，而不是'org.apache.hadoop.hive.serde2.RegexSerDe'，导致在使用spark-sql或者spark-shell访问时，一直报上述异常，总是找不到相应的类，导入相关的Jar包仍然无法解决。
解决办法：
要启动spark-shell,spark-sql时导入 --jar xxxxx.jar将相应的jar包导入。（注意：正常情况下，大家应该都会想到将相应jar导入。但我遇到的问题，如果jar的路径是个软连接路径的话，仍然会报上述异常，找不到相应的类，必须导入jar包的实际路径才行。可能因为spark对软路径的处理有bug，不确定哦。。。。）
