update

task/search_strategy_d.py

@@ -39,7 +39,7 @@ sparkConf.set("spark.shuffle.statistics.verbose", True)
 # sparkConf.set("spark.sql.adaptive.shuffle.targetPostShuffleInputSize", "67108864")
 # sparkConf.set("spark.sql.adaptive.shuffle.targetPostShuffleRowCount", "20000000")
 sparkConf.set("spark.hadoop.mapreduce.input.fileinputformat.input.dir.recursive", True)
-sparkConf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
+# sparkConf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
 sparkConf.set("mapreduce.output.fileoutputformat.compress", False)
 sparkConf.set("mapreduce.map.output.compress", False)
 sparkConf.set("prod.gold.jdbcuri",
@@ -53,9 +53,9 @@ sparkConf.set("prod.tidb.jdbcuri",
 sparkConf.set("prod.jerry.jdbcuri",
               "jdbc:mysql://172.16.40.158:4000/jerry_prod?user=st_user&password=aqpuBLYzEV7tML5RPsN1pntUzFy&rewriteBatchedStatements=true")
 sparkConf.set("prod.tispark.pd.addresses", "172.16.40.158:2379")
-sparkConf.set("spark.sql.parquet.compression.codec", "snappy")
-sparkConf.set("prod.tispark.pd.addresses", "172.16.40.170:4000")
-sparkConf.set("prod.tidb.database", "jerry_prod")
+# sparkConf.set("spark.sql.parquet.compression.codec", "snappy")
+# sparkConf.set("prod.tispark.pd.addresses", "172.16.40.170:4000")
+# sparkConf.set("prod.tidb.database", "jerry_prod")
 # sparkConf.set("spark.executor.extraJavaOptions", "-Djava.library.path=$HADOOP_HOME/lib/native")
 sparkConf.set("spark.driver.extraLibraryPath", "/opt/hadoop/lib/native")
 # sparkConf.set("spark.driver.extraJavaOptions", "-Djava.library.path=$HADOOP_HOME/lib/native")
@@ -66,7 +66,7 @@ spark = (SparkSession.builder.config(conf=sparkConf).config("spark.sql.extension
 
 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("ADD JAR /srv/apps/meta_base_code/snappy-java-1.1.2.jar")
+# spark.sql("ADD JAR /srv/apps/meta_base_code/snappy-java-1.1.2.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.sql("CREATE TEMPORARY FUNCTION arrayMerge AS 'com.gmei.hive.common.udf.UDFArryMerge'")