修改测试文件

tensnsorflow/multi.py

@@ -17,22 +17,21 @@ def test():
         .set("spark.sql.extensions", "org.apache.spark.sql.TiExtensions")\
         .set("spark.tispark.pd.addresses", "172.16.40.158:2379")
 
-
     spark = SparkSession.builder.config(conf= sparkConf).enableHiveSupport().getOrCreate()
+    ti = pti.TiContext(spark)
+    ti.tidbMapDatabase("jerry_test")
+
+    spark.sparkContext.setLogLevel("WARN")
+    df = spark.sql("select max(stat_date) from esmm_train_data")
+    df.show()
+    t = df.rdd.map(lambda x: str(x[0])).collect()
+    print(t.count())
+
     # spark.sql("use online")
     # spark.sql("ADD JAR hdfs:///user/hive/share/lib/udf/brickhouse-0.7.1-SNAPSHOT.jar")
     # spark.sql("ADD JAR hdfs:///user/hive/share/lib/udf/hive-udf-1.0-SNAPSHOT.jar")
     # spark.sql("CREATE TEMPORARY FUNCTION json_map AS 'brickhouse.udf.json.JsonMapUDF'")
     # spark.sql("CREATE TEMPORARY FUNCTION is_json AS 'com.gmei.hive.common.udf.UDFJsonFormatCheck'")
-    spark.sparkContext.setLogLevel("WARN")
-
-    # ti = pti.TiContext(spark)
-    # ti.tidbMapDatabase("jerry_test")
-
-    df = spark.sql("select max(stat_date) from jerry_test.esmm_train_data")
-    df.show()
-    t = df.rdd.map(lambda x: str(x[0])).collect()
-    print(t.count())