parquet & DuckDB Ingest and split data in a flow https://docs.outerbounds.com/recsys-tutorial-L2/ Given our dataset is in a parquet file, in this lesson you will learn how to leverage an open-source, a hyper-performant database for analytics workloads called DuckDB. You can follow along...
可以直接使用字段名进行查询,以下是代码示例: // 执行查询Stringquery="SELECT "+newColumnName+" FROM "+tableName;ResultSetresult=stmt.executeQuery(query);while(result.next()){// 处理查询结果} 1. 2. 3. 4. 5. 6. 三、类图 ConnectionDuckDBConnectionStatementDuckDBStatementResultSetDuckDBResultSet 通...
Internally, we query from postgres and use ParquetWriter from https://github.com/apache/parquet-java to produce the parquet file that DuckDB fails to read which is also apache. After the data gets through our system the part-0.parquet file is produced: As you can see, the timetz_column....
DuckDB CLI allows you to run a SQL statement and exit using the-coption parameter. For example, if you use aSELECTstatement to read a Parquet file: $ duckdb -c"SELECT * FROM read_parquet('path/to/your/file.parquet');" This feature is lightweight, fast, and easy. You can even build...
duckdb.sql("COPY (SELECT 42) TO 'out.parquet'") 1. 将duckdb表持久化存储,还可以使用SQL语句的操作方式,只是这时需要创建连接: with duckdb.connect("file.db") as con: con.sql("CREATE TABLE test (i INTEGER)") con.sql("INSERT INTO test VALUES (42)") ...
duckdb可以轻松访问多个csv和parquet文件,作为本地的分析引擎很好用。 duckdb特别神奇的地方,可以对这多个文件夹下面的csv进行查询###示例importduckdbimportpandas DATA_DIR_CSVS=r"csvs/*/"df = duckdb.query(""" select symbol,date,close from '{}/*.csv' ...
DuckDB读取Parquet直接查询 代码语言:javascript 复制 importduckdb conn=duckdb.connect(database=':memory:')df_count=conn.sql("""SELECTcount(*)ascount_orderFROM'lineitem.parquet'""").fetchdf()print(df_count) DuckDB内存查询 代码语言:javascript ...
output table.query=event['query']con.execute(f" create table output_table AS{query};")output_file=event['output_file']#5.copy output table to s3 bucket.con.execute(f"COPY output_table TO '{output_file}' (FORMAT PARQUET);")1return{'statusCode':200,'body':json.dumps('Query Executed!
DuckDB 具有灵活的扩展机制,这对于直接从 CSV、JSON、Parquet、MySQL 或直接从 S3 读取数据特别重要,能够大大提高开发人员的体验。 DuckDB 可提供数据超出内存限制但小于磁盘容量规模下的工作负载,这样分析工作可通过 "便宜"的硬件来完成。 2. DuckDB 数据库架构 ...
auto result = con.Query(sql_select); std::cout << sql_select << std::endl; result->Print(); } } 这个例子只要展示了各种向DuckDB 写入数据的方式: 导入csv 文件 通过insert 语句写入数据 通过appender写入数据 DuckDB 还支持导入 parquet 格式的数据(上面的例子中没展示)。