修改test file

tensnsorflow/es/train.py

@@ -11,7 +11,6 @@ import os
 import json
 import glob
 from datetime import date, timedelta
-from time import time
 
 import random
 import tensorflow as tf

tensnsorflow/multi.py

@@ -2,7 +2,7 @@
 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
@@ -20,26 +20,24 @@ def test():
 
 
     spark = SparkSession.builder.config(conf= sparkConf).enableHiveSupport().getOrCreate()
-    spark.sql("use online")
-    # spark.sql("ADD JAR /srv/apps/brickhouse-0.7.1-SNAPSHOT.jar")
-    # spark.sql("ADD JAR /srv/apps/hive-udf-1.0-SNAPSHOT.jar")
-    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'")
-    sql = "select user_id from online.tl_hdfs_maidian_view where partition_date = '20190412' limit 10"
-    spark.sql(sql).show(6)
-
-    # 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)
 
 
+    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)
+
+    # 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'")
+    # sql = "select user_id from online.tl_hdfs_maidian_view where partition_date = '20190412' limit 10"
+    # spark.sql(sql).show(6)
 
 
     # data = [(0, 18.0), (1, 19.0), (2, 8.0), (3, 5.0), (4, 2.2), (5, 9.2), (6, 14.4)]