sql - Spark SQL - 转义查询字符串

标签 sql scala apache-spark apache-spark-sql

我不敢相信我在问这个但是...

您如何使用 SCALA 在 SPARK SQL 中转义 SQL 查询字符串?

我已经厌倦了一切,到处寻找。我认为 apache commons 库会做到这一点,但没有运气:

import org.apache.commons.lang.StringEscapeUtils

var sql = StringEscapeUtils.escapeSql("'Ulmus_minor_'Toledo'");

df.filter("topic = '" + sql + "'").map(_.getValuesMap[Any](List("hits","date"))).collect().foreach(println);


返回以下内容:

topic = '''Ulmus_minor_''Toledo''' ^ at scala.sys.package$.error(package.scala:27) at org.apache.spark.sql.catalyst.SqlParser.parseExpression(SqlParser.scala:45) at org.apache.spark.sql.DataFrame.filter(DataFrame.scala:651) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.(:29) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.(:34) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.(:36) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.(:38) at $iwC$$iwC$$iwC$$iwC$$iwC.(:40) at $iwC$$iwC$$iwC$$iwC.(:42) at $iwC$$iwC$$iwC.(:44) at $iwC$$iwC.(:46) at $iwC.(:48) at (:50) at .(:54) at .() at .(:7) at .() at $print() at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:497) at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065) at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1338) at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840) at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871) at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819) at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857) at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902) at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814) at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657) at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665) at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670) at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997) at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945) at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059) at org.apache.spark.repl.Main$.main(Main.scala:31) at org.apache.spark.repl.Main.main(Main.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:497) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:665) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:170) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:193) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:112) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)



帮助会很棒。

j

最佳答案

这可能令人惊讶,但是:

var sql = "'Ulmus_minor_'Toledo'"
df.filter(s"""topic = "$sql"""")

工作得很好,虽然使用它会更干净:
df.filter($"topic" <=> sql)

关于sql - Spark SQL - 转义查询字符串,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/31969047/

相关文章:

scala - 折叠 Spark 数据帧

sql - 如何在azure中定期运行sql查询?

scala - "for (i <- 1 to x; j <- 1 to y)"实际上如何增加 Scala 中的变量?

scala - 在 Scala 中废弃你的样板文件?

apache-spark - 在 PySpark 中编写增量表时如何使用 Zorder 聚类?

scala - 在单元测试中模拟 Spark RDD

mysql - 获取给定的最小和最大时间段之间的一小时时间段

sql - 将记录输入 Access 表时应用约束的数据宏(触发器)

mysql - mysql 查询的一个有趣案例 "like ' xx' "

scala - 为什么使用 foldLeft 而不是程序版本?