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access.log parser for Spark SQL

Simple HTTPd log (a.k.a. access.log) parser for Spark SQL.

Currently, Combined and Common log formats are supported.

How to use

SQL (spark-sql)

When start spark-sql:

spark-sql --packages net.sanori.spark:access-log_2.11:0.1.0

In SQL, you can create user defined function and use it:

-- attach ToCombined as to_combined(text_line)
CREATE OR REPLACE FUNCTION to_combined
AS "net.sanori.spark.ToCombined";

-- read raw log file as one column table
CREATE OR REPLACE TEMP VIEW accessLogText
USING text
OPTIONS (path "access.log");

-- create parsed log as a table
CREATE OR REPLACE TEMP VIEW accessLog
AS SELECT log.*
    FROM (
        SELECT to_combined(value) AS log
        FROM accessLogText
    )

Spark SQL (spark-shell)

When start spark-shell:

spark-shell --packages net.sanori.spark:access-log_2.11:0.1.0

Or in build.sbt:

libraryDependencies += "net.sanori.spark" %% "access-log" % "0.1.0"

DataFrame

import net.sanori.spark.accessLog.to_combined
import org.apache.spark.sql.functions._

val lineDf = spark.read.text("access.log")
val logDf = lineDf
  .select(to_combined(col("value")).as("log"))
  .select(col("log.*"))

Dataset

import net.sanori.spark.accessLog.toCombinedLog

val lineDs = spark.read.textFile("access.log")
val logDs = lineDs.map(toCombinedLog)

RDD

import net.sanori.spark.accessLog.toCombinedLog

val lines = sc.textFile("access.log")
val rdd = lines.map(toCombinedLog)

What is provided

Combined or Common logs are transformed to the table which has the following meaning:

name type default value
remoteAddr String ""
remoteUser String ""
time Timestamp 1970-01-01T00:00:00Z
request String ""
status String ""
bytesSent Long null
httpReferer String ""
httpUserAgent String ""

Other information

How to build

sbt clean package

generates access-log_2.11-0.1.0.jar in target/scala-2.11.

Motivation

  • To simplify analysis of web server logs
  • Most of the logs of web server, that is HTTP server, are in Combined or Common log format.
  • To make user defined function that can be used on spark-sql command

Alternative

If you want to view access.log as a table on Hive, not on Spark, or want to process various log formats, nielsbasjes/logparser might be better solution.

Contribution

Suggestions, idea, comments, pull requests are welcome.