0 ñ Countable/Uncountable nouns ñ A/An/Some/Any ñ (How) much/(how) many/a lot of/ a few/a little ñ be going to/will ñ must/mustn t/have to ñ can/can t ñ Was/Were ñ Had ñ Could/Couldn t ñ So/Neither ñ Past simple (regular verbs) ñ There was/there were ñ Past simple (irregular verbs) ñ Food/Drinks ñ Meals ñ Containers & partitives ñ Mythical creatures ñ Types of films ñ Adjectives describing films ñ Describing location ñ Musical instruments Language Review (pp. 9 Masters of art pp Monstertrackers 8 pp Fun Time 8 p. 80 ñ Present continuous ñ Present simple or present continuous ñ Present continuous (future meaning) ñ Seasons & months ñ The weather ñ Activities ñ Clothes CONTENTS 7 8 Food pp Monstertrackers 7 pp Fun Time 7 p. 68 ñ Adverbs of frequency ñ Prepositions of time ñ Comparative/Superlative adjectives ñ Adverbs of degree ñ Questions with how ñ Animals ñ Parts of animals 6 Weather & clothes pp Monstertrackers 6 pp Fun Time 6 p. 56 ñ Possessive ( s/s )/whose ñ Present simple ñ Prepositions of time ñ Like, love, hate + -ing form ñ Family members ñ Character adjectives ñ Daily routines ñ Jobs 5 Great animals! pp Monstertrackers 5 pp Fun Time 5 p. ñ There is/there are ñ A/An - Some - Any ñ Prepositions of place ñ The imperative, Let s ñ Rooms, furniture & appliances ñ Ordinal numbers (st-rd) ñ Bugs Families pp. ñ Have got ñ Possessive adjectives ñ Plurals ñ This - These/That - Those ñ Can (ability) ñ Personal things ñ Appearance ñ Parts of the body ñ Abilities Homes! pp. 0 ñ The verb to be ñ Subject/Object pronouns ñ Question words (who, what, where, how old) ñ School subjects & classroom objects ñ Nationalities ñ Sports ñ Countries & capital cities Cool stuff! pp. 8 ñ A/An - the ñ The English alphabet ñ Numbers ñ School objects ñ Colours ñ Days of the week Back to school pp. Īlternatively, SparkContext.addJar function can be used to add JAR into Spark session.8 Contents Modules Grammar Vocabulary Starter pp. The above example can also be replaced using command line: spark-submit -driver-class-path sqljdbc_7.2/enu/mssql-jdbc-7.2.1.jre8.jar. from pyspark import SparkContext, SparkConf, SQLContextĪppName = "PySpark SQL Server Example - via JDBC" If you want to also add it to executor classpath, you can use property.
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The following example add SQL Server JDBC driver package into driver class path. Add dynamically when constructing Spark sessionĪnother approach is to add the dependencies dynamically when constructing Spark session. If you have internal repositories, you can specify via -repositories option.
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If this package is not available in local Maven repositories, Spark will download from maven central thus access to network is required, which might be a limit in some enterprise environment.
The format of package should be groupId:artifactId:version.įor example, the following command will add koalas package as a dependency: spark-submit -packages :koalas:0.0.1-beta Spark will search the local maven repo, then maven central and any additional remote repositories given by option -repositories. Use -packages optionįor option -packages, it is used to pass comma-separated list of maven coordinates of jars to include on the driver and executor classpaths. The following is an example: spark-submit -jars /path/to/jar/file1,/path/to/jar/file2. If multiple JAR files need to be included, use comma to separate them. To add JARs to a Spark job, -jars option can be used to include JARs on Spark driver and executor classpaths.
Once application is built, spark-submit command is called to submit the application to run in a Spark environment. Java libraries can be referenced by Spark applications.
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