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11512516
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2012-07-16T21:02:34.590
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2012-07-17T16:44:08.633
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2012-07-17T16:44:08.633
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596242
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11417213
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2
Score
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text
Body
<p>In light of the lack of answers, I ended up going with my own suggested approach, which</p> <ol> <li>Reads the .xml file</li> <li>Regex's out the table name</li> <li>Truncates the table name if it's over 30 characters</li> <li>Appends the (potentially modified) line to a StringBuilder</li> <li>Feeds that StringBuilder into a ByteArrayInputStream, suitable for passing into a DataSetBuilder</li> </ol> <hr> <pre><code>public InputStream oracleWorkaroundStream(String fileName) throws IOException { String ls = System.getProperty("line.separator"); // This pattern isolates the table name from the rest of the line Pattern pattern = Pattern.compile("(\\s*<)(\\w+)(.*/>)"); FileInputStream fis = new FileInputStream(fileName); // Use a StringBuidler for better performance over repeated concatenation StringBuilder sb = new StringBuilder(fis.available()*2); InputStreamReader isr = new InputStreamReader(fis, "UTF-8"); BufferedReader buff = new BufferedReader(isr); while (buff.ready()) { // Read a line from the source xml file String line = buff.readLine(); Matcher matcher = pattern.matcher(line); // See if the line contains a table name if (matcher.matches()) { String tableName = matcher.group(2); if (tableName.length() > 30) { tableName = tableName.substring(0, 30); } // Append the (potentially modified) line sb.append(matcher.group(1)); sb.append(tableName); sb.append(matcher.group(3)); } else { // Some lines don't have tables names (<dataset>, <?xml?>, etc.) sb.append(line); } sb.append(ls); } return new ByteArrayInputStream(sb.toString().getBytes("UTF-8")); } </code></pre> <p>EDIT: Swtiched to StringBuilder from repeated String concatenation, which gives a huge performance boost</p>
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1. PODbUnit NoSuchTableException - Workaround for long table names in Oracle
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1. USEric Grunzke
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1. USEric Grunzke
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1. PODbUnit NoSuchTableException - Workaround for long table names in Oracle
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A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

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