修改test文件

tensnsorflow/multi.py

@@ -2,17 +2,19 @@
 from pyspark.sql import HiveContext
 from pyspark.context import SparkContext
 from pyspark.conf import SparkConf
-# import pytispark.pytispark as pti
+import pytispark.pytispark as pti
 # from pyspark.sql import SQLContext
 from pyspark.sql import SparkSession
 import datetime
 
 
 def test():
-    # .set("spark.tispark.plan.allow_index_double_read", "false") \
-    #     .set("spark.tispark.plan.allow_index_read", "true") \
+
     sparkConf = SparkConf().set("spark.hive.mapred.supports.subdirectories", "true")\
-        .set("spark.hadoop.mapreduce.input.fileinputformat.input.dir.recursive", "true")
+        .set("spark.hadoop.mapreduce.input.fileinputformat.input.dir.recursive", "true")\
+        .set("spark.tispark.plan.allow_index_double_read", "false") \
+        .set("spark.tispark.plan.allow_index_read", "true")
+
     spark = SparkSession.builder.config("spark.sql.extensions", "org.apache.spark.sql.TiExtensions")\
         .config("spark.tispark.pd.addresses", "172.16.40.158:2379")\
         .config(conf= sparkConf).enableHiveSupport().getOrCreate()
@@ -23,7 +25,10 @@ def test():
     # spark.sql("CREATE TEMPORARY FUNCTION is_json AS 'com.gmei.hive.common.udf.UDFJsonFormatCheck'")
     spark.sparkContext.setLogLevel("WARN")
 
-    df = spark.sql("select max(stat_date) from jerry_test.esmm_train_data")
+    ti = pti.TiContext(spark)
+    ti.tidbMapDatabase("jerry_test")
+
+    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())