A work-around for now would be to pass an extra option toopen_datasetthat sets the limit to a high-enough value: dt_error<-open_dataset("./example_error.parquet",thrift_string_size_limit=1000000000) I'm not sure we want to increase or remove the default limit, as that might cause ot...
写入文件统一使用Dataset的write()方法,该方法会返回DataFrameWriter对象,而DataFrameWriter的save方法,用于将DataFrame的内容保存在指定路径下。 // 将DataFrame写入外部存储系统 df.select("name", "favorite_color") .write() // 返回一个DataFrameWriter,可用于将DataFrame写入外部存储系统 .save("target/outfile/user...
在 0.11.0 中，默认为 Spark writer 启用具有同步更新的元数据表和基于元数据表的file listing，以提...
// 创建 Flink ExecutionEnvironmentExecutionEnvironmentenv=ExecutionEnvironment.getExecutionEnvironment();// 从数据源获取数据DataSet<String>data=env.fromElements("data1","data2","data3");// 写入 Hive Parquet 文件data.writeAsText("hdfs://path/to/parquet/file",WriteMode.OVERWRITE).setParallelism(1);...
Writes the model to the provided Utf8JsonWriter. C# คัดลอก void IJsonModel<ParquetDataset>.Write (System.Text.Json.Utf8JsonWriter writer, System.ClientModel.Primitives.ModelReaderWriterOptions options);...
(Inherited from DataFactoryDatasetProperties) CompressionCodec The data compressionCodec. Type: string (or Expression with resultType string). DataLocation The location of the parquet storage. Please note DatasetLocation is the base class. According to the scenario, a derived class of the...
{"name":"ParquetDataset","properties": {"type":"Parquet","linkedServiceName": {"referenceName":"<Azure Blob Storage linked service name>","type":"LinkedServiceReference"},"schema": [ < physical schema, optional, retrievable during authoring > ],"typeProperties": {"location": {"type":...
store.put(key, buf.getvalue().to_pybytes())returnkey 开发者ID:JDASoftwareGroup,项目名称:kartothek,代码行数:25,代码来源:_parquet.py 示例5: test_pyarrow_07992 ▲点赞 6▼ # 需要导入模块: from pyarrow import parquet [as 别名]# 或者: from pyarrow.parquet importwrite_table[as 别名]deftest...
例如,如果我使用Dask创建了一个地块数据集 importdaskdataset = pq.ParquetDataset('temp.parq') 但是,我用来为单个拼图文件(在How to write Parquet中概述)写入元数 浏览48提问于2021-09-10得票数7 2回答 有没有可能从python/pandas并行写入到Parquet中?
//Sink方法2:/**.repartition(1) 可以考虑加上,能避免小文件,repartition越小,小文件相对会少,但是性能会差点。*/StreamingQuery query=queryResult.writeStream() .option("checkpointLocation", checkpointLocation) .foreachBatch(newVoidFunction2<Dataset<Row>,Long>(){privatestaticfinallongserialVersionUID =...