| Name | Default | Meaning | Since Version |
|---|---|---|---|
| spark.sql.files.maxPartitionBytes | 128 MB | The maximum number of bytes to pack into a single partition when reading files | 2.0.0 |
| spark.sql.sources.bucketing.enabled | true | When false, we will treat bucketed table as normal table | 2.0.0 |
| spark.sql.sources.bucketing.autoBucketedScan.enabled | true | Whe true, decide whether to do bucketed scan on input tables based on query plan automatically | 3.1.1 |
| spark.sql.limit.scaleUpFactor | 4 | Minimal increase rate in number of partitions between attempts when executing a take on a query | 2.1.1 |
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| --- | |
| name: spark42-preview-process | |
| description: Execute the spark4.2-preview branch workflow for Apache Iceberg, including backup branch creation, reset and rebase onto upstream main, spark/v4.2 and spark/v4.1 directory migration, cherry-pick with upstream-first conflict resolution, targeted Spark 4.2 build verification, and cleanup. Use when preparing or re-running the Spark 4.2 preview branch flow. | |
| --- | |
| # Spark 4.2 Preview Process | |
| ## Overview | |
| Follow this skill to run the full `spark4.2-preview` workflow in a consistent order and validate the result before finalizing. |
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| package org.apache.spark | |
| import java.io.{BufferedInputStream, PrintWriter} | |
| import java.net.URI | |
| import org.apache.hadoop.conf.Configuration | |
| import org.apache.hadoop.fs.{LocalFileSystem, Path} | |
| import org.apache.spark.io.CompressionCodec | |
| import scala.io.Source |
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| class AdaptiveQueryExecSuite | |
| extends QueryTest | |
| with SharedSparkSession | |
| with AdaptiveSparkPlanHelper { | |
| test("Empty stage") { | |
| withSQLConf( | |
| SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true", | |
| SQLConf.COALESCE_PARTITIONS_ENABLED.key -> "true") { | |
| withTempView("v1", "v2") { |
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| const puppeteer = require('puppeteer'); | |
| (async () => { | |
| const browser = await puppeteer.launch({ | |
| args: [ | |
| '--proxy-server=http://127.0.0.1:1087' | |
| ] | |
| }); | |
| for (const url of process.argv.slice(2)) { |
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| import $ivy.`org.seleniumhq.selenium:selenium-chrome-driver:3.0.1` | |
| import org.openqa.selenium.JavascriptExecutor | |
| import org.openqa.selenium.chrome.{ChromeDriver, ChromeOptions} | |
| System.setProperty("webdriver.chrome.driver", "/Users/doriadong/bin/chromedriver") | |
| val options = new ChromeOptions() | |
| options.addArguments("--proxy-server=http://127.0.0.1:1087") | |
| val driver = new ChromeDriver(options) | |
| driver.get("https://overcast.fm/+E6UAAGfPU") |
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| import java.time.ZonedDateTime | |
| import java.time.format.DateTimeFormatter | |
| import java.time.temporal.ChronoUnit | |
| import $ivy.`com.lihaoyi::requests:0.1.8` | |
| import $ivy.`org.scala-lang.modules::scala-xml:1.2.0` | |
| import $ivy.`org.seleniumhq.selenium:selenium-chrome-driver:3.0.1` | |
| import org.openqa.selenium.JavascriptExecutor | |
| import org.openqa.selenium.chrome.{ChromeDriver, ChromeOptions} | |
| import requests.TimeoutException |
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| package io.github.manuzhang | |
| import scala.concurrent.duration.Duration | |
| import scala.concurrent.{Await, ExecutionContext, Future, blocking} | |
| import scala.util.{Failure, Success, Try} | |
| object GetReadme extends App with GitHub { | |
| val languages = List( |
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| import base64 | |
| from bs4 import BeautifulSoup | |
| import json | |
| import mistune | |
| import re | |
| def load_results(fileName): | |
| f = open(fileName, "r+") | |
| return json.loads(f.read()) |
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| #!/usr/bin/python3.6 | |
| from jupyter_client import BlockingKernelClient | |
| from jupyter_client import KernelManager | |
| import codecs | |
| import nbformat | |
| nb = nbformat.read(codecs.open("./empty_cell.ipynb",'r',encoding='utf-8'),as_version=4) | |
| km = KernelManager(kernel_name=nb.metadata.get('kernelspec', {}).get('name', 'python')) |
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