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merged manual-for-pt-query-digest--type-binlog-is-ambiguous-1377888
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@@ -13181,6 +13181,13 @@ sub main {
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if ( $fh ) {
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PTDEBUG && _d('Reading', $filename);
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PTDEBUG && _d('File size:', $filesize);
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# catch if user is trying to use an uncoverted (raw) binlog # issue 1377888
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if ( $filename && $o->get('type')->[0] eq 'binlog') {
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if (is_raw_binlog($filename)) {
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warn "Binlog file $filename must first be converted to text format using mysqlbinlog";
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return 1;
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}
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}
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push @read_files, { name => ($filename || "STDIN"), size => $filesize };
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# Read the file offset for --resume.
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@@ -14722,6 +14729,14 @@ sub sanitize_event {
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return;
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}
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# make an effort to check if file is a raw binlog
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# (i.e. was not converted to text using mysqlbinlog)
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sub is_raw_binlog {
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my $filename = shift;
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return -B $filename;
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}
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sub _d {
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my ($package, undef, $line) = caller 0;
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@_ = map { (my $temp = $_) =~ s/\n/\n# /g; $temp; }
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@@ -14798,7 +14813,8 @@ server. Before using this tool, please:
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pt-query-digest is a sophisticated but easy to use tool for analyzing
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MySQL queries. It can analyze queries from MySQL slow, general, and binary
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logs, as well as C<SHOW PROCESSLIST> and MySQL protocol data from tcpdump.
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logs. (Binary logs must first be converted to text, see L<"--type">).
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It can also use C<SHOW PROCESSLIST> and MySQL protocol data from tcpdump.
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By default, the tool reports which queries are the slowest, and therefore
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the most important to optimize. More complex and custom-tailored reports
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can be created by using options like L<"--group-by">, L<"--filter">, and
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@@ -16134,7 +16150,13 @@ The type of input to parse. The permitted types are
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=item binlog
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Parse a binary log file.
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Parse a binary log file that has first been converted to text using mysqlbinlog.
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For example:
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mysqlbinlog mysql-bin.000441 > mysql-bin.000441.txt
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pt-query-digest --type binlog mysql-bin.000441.txt
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=item genlog
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