添加代码文字: def main(args: Array[String]): Unit = {
val env = StreamExecutionEnvironment.getExecutionEnvironment env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime) val tableEnv = StreamTableEnvironment.create(env) val schema = "{\"type\":\"record\",\"name\":\"root\",\"fields\":[{\"name\":\"log_id\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"city\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"log_from\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"ip\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"type\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"data_source\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"is_scan\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"result\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"timelong\",\"type\":[\"null\",\"long\"],\"default\":null},{\"name\":\"is_sec\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"event_name\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"id\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"time_string\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"device\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"timestamp_string\",\"type\":[\"null\",\"string\"],\"default\":null},{\"name\":\"occur_time\",\"type\":[\"null\",{\"type\":\"long\",\"logicalType\":\"timestamp-millis\"}],\"default\":null},{\"name\":\"row_time\",\"type\":[\"null\",{\"type\":\"long\",\"logicalType\":\"timestamp-millis\"}],\"default\":null}]}" val parquetTableSource: ParquetTableSource = ParquetTableSource .builder .forParquetSchema(new org.apache.parquet.avro.AvroSchemaConverter().convert( org.apache.avro.Schema.parse(schema, true))) .path("/Users/sujun/Documents/tmp/login_data") .build tableEnv.registerTableSource("source",parquetTableSource) val t1 = tableEnv.sqlQuery("select log_id,city from source where city = '274' ") tableEnv.registerTable("t1",t1) val t4 = tableEnv.sqlQuery("select * from t1 where log_id='5927070661978133'") t1.toAppendStream[Row].print() env.execute() } jun su <sujun891...@gmail.com> 于2020年1月8日周三 下午4:59写道: > 你好: > 我在使用ParquetTableSource时, 发现一些问题, 疑似是ParquetTableSource Filter > Pushdown的Bug, 以下是代码和描述: > > [image: 1578473593933.jpg] > > debug发现, > 代码卡在了: org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp方法, while > true循环一直出不来, 知道整合程序OOM > > [image: 1.jpg] > > 将ParquetTableSource的filter pushdown代码去掉后 , 主程序可以执行. > 怀疑是calcite的优化器在迭代找代价最小的plan时一直无法退出导致的 >