Yuanjian Li created SPARK-32885:
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Summary: Add DataStreamReader.table API
Key: SPARK-32885
URL: https://issues.apache.org/jira/browse/SPARK-32885
Project: Spark
Issue Type: New Feature
Components: Structured Streaming
Affects Versions: 3.1.0
Reporter: Yuanjian Li
This ticket aims to add a new `table` API in DataStreamReader, which is similar
to the table API in DataFrameReader. Users can directly use this API to get a
Streaming DataFrame on a table. Below is a simple example:
Application 1 for initializing and starting the streaming job:
{code:java}
val path = "/home/yuanjian.li/runtime/to_be_deleted"
val tblName = "my_table"
// Write some data to `my_table`
spark.range(3).write.format("parquet").option("path", path).saveAsTable(tblName)
// Read the table as a streaming source, write result to destination directory
val table = spark.readStream.table(tblName)
table.writeStream.format("parquet").option("checkpointLocation",
"/home/yuanjian.li/runtime/to_be_deleted_ck").start("/home/yuanjian.li/runtime/to_be_deleted_2")
{code}
Application 2 for appending new data:
{code:java}
// Append new data into the path
spark.range(5).write.format("parquet").option("path",
"/home/yuanjian.li/runtime/to_be_deleted").mode("append").save(){code}
Check result:
{code:java}
// The desitination directory should contains all written data
spark.read.parquet("/home/yuanjian.li/runtime/to_be_deleted_2").show()
{code}
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