make sure the guava package is the same as spark 3.3.0 (#1905)

Author: allwefantasy

init.json

@@ -9,7 +9,7 @@
         "name": "init",
         "params": [
           {
-            "mlsql": "select 1 as a as output;",
+            "mlsql": "load FS.``\nWhere `fs.s3a.endpoint`=\"s3.cn-northwest-1.amazonaws.com.cn\"\nand `fs.s3a.bucket.gtma.access.key`=\"AKIAW36DVI3VRR4Z4QCQ\"\nand `fs.s3a.bucket.gtma.secret.key`=\"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\"\nand `fs.s3a.impl`=\"org.apache.hadoop.fs.s3a.S3AFileSystem\"\nand `fs.AbstractFileSystem.s3a.impl`=\"org.apache.hadoop.fs.s3a.S3A\"\nas output;",
             "owner": "admin",
             "home": "/tmp"
           }

pom.xml

@@ -77,7 +77,7 @@
         <spark.sql.kafka.artifactId>spark-sql-kafka-0-10_${scala.binary.version}</spark.sql.kafka.artifactId>
 
 
-        <guava.version>16.0</guava.version>
+        <guava.version>14.0.1</guava.version>
         <jetty.version>9.2.16.v20160414</jetty.version>
 
         <httpclient.version>4.5.13</httpclient.version>
@@ -121,7 +121,11 @@
 
     <dependencyManagement>
         <dependencies>
-
+<!--            <dependency>-->
+<!--                <groupId>com.google.guava</groupId>-->
+<!--                <artifactId>guava</artifactId>-->
+<!--                <version>14.0.1</version>-->
+<!--            </dependency>-->
             <dependency>
                 <groupId>com.fasterxml.jackson.core</groupId>
                 <artifactId>jackson-core</artifactId>