| 1 | =head1 NAME
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| 2 |
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| 3 | Tutorial - Perl and Java
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| 4 |
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| 5 | =head1 SYNOPSIS
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| 6 |
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| 7 | Java and Perl have different strengths and complement each other well.
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| 8 |
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| 9 | You can connect them at runtime with tools such as JPL, PJC, or
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| 10 | ActiveX. In theory, you can convert Perl to Java bytecode, and
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| 11 | vice-versa.
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| 12 |
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| 13 | =head2 Note:
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| 14 |
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| 15 | Not actually a conversion.
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| 16 |
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| 17 | At this stage, we are generating Java opcodes by walking Perl's syntax
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| 18 | tree. This is very different from converting Perl to Java. It's a lot
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| 19 | easier!
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| 20 |
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| 21 | =head1 1.1 Perl and Java, Compared
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| 22 |
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| 23 | Perl offers rich text processing features, high-level network APIs,
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| 24 | excellent database integration, and a centralized repository of
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| 25 | reusable code:
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| 26 |
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| 27 | =over 4
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| 28 |
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| 29 | =item *
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| 30 |
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| 31 | Regular expression engine is a powerful sub language that can perform
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| 32 | complex text manipulations and extract data.
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| 33 |
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| 34 | =item *
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| 35 |
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| 36 | Packages such as libwww-perl (LWP) and libnet are powerful, high-level
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| 37 | interfaces to network functionality.
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| 38 |
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| 39 | =item *
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| 40 |
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| 41 | The Perl DBI is an interface to SQL data sources.
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| 42 |
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| 43 | =item *
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| 44 |
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| 45 | CPAN provides a centralized, organized archive of reusable code.
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| 46 |
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| 47 | =back
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| 48 |
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| 49 | Java has a powerful graphical API, has numerous embedded
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| 50 | implementations, excellent database integration, but no single
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| 51 | recognized repository of reusable code.
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| 52 |
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| 53 | =over 4
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| 54 |
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| 55 | =item *
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| 56 |
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