Examples of RowImpl

Examples of com.alvazan.orm.layer9z.spi.db.inmemory.RowImpl

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  @Test
  public void basicPutTest() {

    TreeMap<ByteArray, Column> map = new TreeMap<ByteArray, Column>(new Utf8Comparator());
    RowImpl row = new RowImpl(map);
   
    Column c1 = creteColumn("6e756d526f6f6d73", (byte) 1);
    Column c2 = creteColumn("6275696c64696e67", (byte) 2);
    Column c3 = creteColumn("6e616d65", (byte) 3);
    Column c4 = creteColumn("5f686973746f72790000013caaa1b98d5f7374617465", (byte) 4);
    Column c5 = creteColumn("5f686973746f72790000013caaa1b98d6275696c64696e67", (byte) 5);
    Column c6 = creteColumn("5f686973746f72790000013caaa1b98d6e756d526f6f6d73", (byte) 6);
    Column c7 = creteColumn("5f686973746f72790000013caaa1b9ba6275696c64696e67", (byte) 7);
    Column c8 = creteColumn("5f686973746f72790000013caaa1b9ba6e756d526f6f6d73", (byte) 8);
   
    row.put(c1);
    Assert.assertEquals(1, row.getColumns().size());
    row.put(c2);
    Assert.assertEquals(2, row.getColumns().size());
    row.put(c3);
    Assert.assertEquals(3, row.getColumns().size());
    row.put(c4);
    Assert.assertEquals(4, row.getColumns().size());
    row.put(c5);
    Assert.assertEquals(5, row.getColumns().size());
    row.put(c6);
    Assert.assertEquals(6, row.getColumns().size());
    row.put(c7);
    Assert.assertEquals(7, row.getColumns().size());
    row.put(c8);
    Assert.assertEquals(8, row.getColumns().size());
  }
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Examples of org.apache.openjpa.jdbc.sql.RowImpl

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        int batchSize = batchedRows.size();
        if (batchedSql != null &&  batchSize > 0) {
            PreparedStatement ps = null;
            try {
                RowImpl onerow = null;
                ps = prepareStatement(batchedSql);
                if (batchSize == 1) {
                    // execute a single row.
                    onerow = batchedRows.get(0);
                    flushSingleRow(onerow, ps);
                } else {
                    // cache has more than one rows, execute as batch.
                    int count = 0;
                    int batchedRowsBaseIndex = 0;
                    Iterator<RowImpl> itr = batchedRows.iterator();
                    while (itr.hasNext()) {
                        onerow = itr.next();
                        if (_batchLimit == 1) {
                            flushSingleRow(onerow, ps);
                        } else {
                            if (count < _batchLimit || _batchLimit == -1) {
                                if (ps != null)
                                    onerow.flush(ps, _dict, _store);
                                addBatch(ps, onerow, count);
                                count++;
                            } else {
                                // reach the batchLimit, execute the batch
                                int[] rtn = executeBatch(ps);
                                checkUpdateCount(rtn, batchedRowsBaseIndex, ps);

                                batchedRowsBaseIndex += _batchLimit;

                                if (ps != null)
                                    onerow.flush(ps, _dict, _store);
                                addBatch(ps, onerow, count);
                                // reset the count to 1 for new batch
                                count = 1;
                            }
                        }
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Examples of org.apache.openjpa.jdbc.sql.RowImpl

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        int updateSuccessCnt = _dict.getBatchUpdateCount(ps);
        Object failed = null;
        List<RowImpl> batchedRows = getBatchedRows();
        for (int i = 0; i < count.length; i++) {
            cnt = count[i];
            RowImpl row = (RowImpl) batchedRows.get(batchedRowsBaseIndex + i);
            failed = row.getFailedObject();
            switch (cnt) {
            case Statement.EXECUTE_FAILED: // -3
                if (failed != null || row.getAction() == Row.ACTION_UPDATE)
                    _exceptions.add(new OptimisticException(failed));
                else if (row.getAction() == Row.ACTION_INSERT)
                    throw new SQLException(_loc.get(
                        "update-failed-no-failed-obj",
                        String.valueOf(count[i]),
                        row.getSQL(_dict)).getMessage());
                break;
            case Statement.SUCCESS_NO_INFO: // -2
                if (_dict.reportsSuccessNoInfoOnBatchUpdates &&
                    updateSuccessCnt != count.length) {
                    // Oracle batching specifics:
                    // treat update/delete of SUCCESS_NO_INFO as failed case
                    // because:
                    // 1. transaction should be rolled back.
                    // 2. if DataCache is enabled, objects in
                    //    cache should be removed.
                    if (failed != null)
                        _exceptions.add(new OptimisticException(failed));
                    else if (row.getAction() == Row.ACTION_INSERT)
                        throw new SQLException(_loc.get(
                            "update-failed-no-failed-obj",
                            String.valueOf(count[i]),
                            row.getSQL(_dict)).getMessage());
                }
                if (_log.isTraceEnabled())
                    _log.trace(_loc.get("batch_update_info",
                        String.valueOf(cnt),
                        row.getSQL(_dict)).getMessage());
                break;
            case 0: // no row is inserted, treats it as failed
                // case
                logSQLWarnings(ps);
                if (failed != null)
                    _exceptions.add(new OptimisticException(failed));
                else if (row.getAction() == Row.ACTION_INSERT)
                    throw new SQLException(_loc.get(
                        "update-failed-no-failed-obj",
                        String.valueOf(count[i]),
                        row.getSQL(_dict)).getMessage());
            }
        }
    }
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Examples of org.apache.openjpa.jdbc.sql.RowImpl

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        int batchSize = batchedRows.size();
        if (batchedSql != null &&  batchSize > 0) {
            PreparedStatement ps = null;
            try {
                RowImpl onerow = null;
                ps = prepareStatement(batchedSql);
                if (batchSize == 1) {
                    // execute a single row.
                    onerow = batchedRows.get(0);
                    flushSingleRow(onerow, ps);
                } else {
                    // cache has more than one rows, execute as batch.
                    int count = 0;
                    int batchedRowsBaseIndex = 0;
                    Iterator<RowImpl> itr = batchedRows.iterator();
                    while (itr.hasNext()) {
                        onerow = itr.next();
                        if (_batchLimit == 1) {
                            flushSingleRow(onerow, ps);
                        } else {
                            if (count < _batchLimit || _batchLimit == -1) {
                                if (ps != null)
                                    onerow.flush(ps, _dict, _store);
                                addBatch(ps, onerow, count);
                                count++;
                            } else {
                                // reach the batchLimit, execute the batch
                                int[] rtn = executeBatch(ps);
                                checkUpdateCount(rtn, batchedRowsBaseIndex, ps);

                                batchedRowsBaseIndex += _batchLimit;

                                if (ps != null)
                                    onerow.flush(ps, _dict, _store);
                                addBatch(ps, onerow, count);
                                // reset the count to 1 for new batch
                                count = 1;
                            }
                        }
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Examples of org.apache.openjpa.jdbc.sql.RowImpl

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        int updateSuccessCnt = _dict.getBatchUpdateCount(ps);
        Object failed = null;
        List<RowImpl> batchedRows = getBatchedRows();
        for (int i = 0; i < count.length; i++) {
            cnt = count[i];
            RowImpl row = (RowImpl) batchedRows.get(batchedRowsBaseIndex + i);
            failed = row.getFailedObject();
            switch (cnt) {
            case Statement.EXECUTE_FAILED: // -3
                if (failed != null || row.getAction() == Row.ACTION_UPDATE)
                    _exceptions.add(new OptimisticException(failed));
                else if (row.getAction() == Row.ACTION_INSERT)
                    throw new SQLException(_loc.get(
                        "update-failed-no-failed-obj",
                        String.valueOf(count[i]),
                        row.getSQL(_dict)).getMessage());
                break;
            case Statement.SUCCESS_NO_INFO: // -2
                if (_dict.reportsSuccessNoInfoOnBatchUpdates &&
                    updateSuccessCnt != count.length) {
                    // Oracle batching specifics:
                    // treat update/delete of SUCCESS_NO_INFO as failed case
                    // because:
                    // 1. transaction should be rolled back.
                    // 2. if DataCache is enabled, objects in
                    //    cache should be removed.
                    if (failed != null)
                        _exceptions.add(new OptimisticException(failed));
                    else if (row.getAction() == Row.ACTION_INSERT)
                        throw new SQLException(_loc.get(
                            "update-failed-no-failed-obj",
                            String.valueOf(count[i]),
                            row.getSQL(_dict)).getMessage());
                }
                if (_log.isTraceEnabled())
                    _log.trace(_loc.get("batch_update_info",
                        String.valueOf(cnt),
                        row.getSQL(_dict)).getMessage());
                break;
            case 0: // no row is inserted, treats it as failed
                // case
                logSQLWarnings(ps);
                if (failed != null)
                    _exceptions.add(new OptimisticException(failed));
                else if (row.getAction() == Row.ACTION_INSERT)
                    throw new SQLException(_loc.get(
                        "update-failed-no-failed-obj",
                        String.valueOf(count[i]),
                        row.getSQL(_dict)).getMessage());
            }
        }
    }
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Examples of org.apache.openjpa.jdbc.sql.RowImpl

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                        getManagedInstance()));
            }
        } catch (SQLException se) {
            exceps = addException(exceps, SQLExceptions.getStore(se, dict));
        } catch (OpenJPAException ke) {
          RowImpl row = (RowImpl) rowMgr.getRow(((ClassMapping) sm.getMetaData()).getTable(), action, sm, false);
            if (row != null) {
                row.setFlushed(true);
            }
            exceps = addException(exceps, ke);
        }
        return exceps;
    }
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Examples of org.apache.openjpa.jdbc.sql.RowImpl

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        int batchSize = batchedRows.size();
        if (batchedSql != null &&  batchSize > 0) {
            PreparedStatement ps = null;
            try {
                RowImpl onerow = null;
                ps = prepareStatement(batchedSql);
                if (batchSize == 1) {
                    // execute a single row.
                    onerow = (RowImpl) batchedRows.get(0);
                    flushSingleRow(onerow, ps);
                } else {
                    // cache has more than one rows, execute as batch.
                    int count = 0;
                    int batchedRowsBaseIndex = 0;
                    Iterator itr = batchedRows.iterator();
                    while (itr.hasNext()) {
                        onerow = (RowImpl) itr.next();
                        if (_batchLimit == 1) {
                            flushSingleRow(onerow, ps);
                        } else {
                            if (count < _batchLimit || _batchLimit == -1) {
                                if (ps != null)
                                    onerow.flush(ps, _dict, _store);
                                addBatch(ps, onerow, count);
                                count++;
                            } else {
                                // reach the batchLimit, execute the batch
                                int[] rtn = executeBatch(ps);
                                checkUpdateCount(rtn, batchedRowsBaseIndex, ps);

                                batchedRowsBaseIndex += _batchLimit;

                                if (ps != null)
                                    onerow.flush(ps, _dict, _store);
                                addBatch(ps, onerow, count);
                                // reset the count to 1 for new batch
                                count = 1;
                            }
                        }
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Examples of org.apache.openjpa.jdbc.sql.RowImpl

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        int updateSuccessCnt = _dict.getBatchUpdateCount(ps);
        Object failed = null;
        List batchedRows = getBatchedRows();
        for (int i = 0; i < count.length; i++) {
            cnt = count[i];
            RowImpl row = (RowImpl) batchedRows.get(batchedRowsBaseIndex + i);
            failed = row.getFailedObject();
            switch (cnt) {
            case Statement.EXECUTE_FAILED: // -3
                if (failed != null || row.getAction() == Row.ACTION_UPDATE)
                    _exceptions.add(new OptimisticException(failed));
                else if (row.getAction() == Row.ACTION_INSERT)
                    throw new SQLException(_loc.get(
                        "update-failed-no-failed-obj",
                        String.valueOf(count[i]),
                        row.getSQL(_dict)).getMessage());
                break;
            case Statement.SUCCESS_NO_INFO: // -2
                if (_dict.reportsSuccessNoInfoOnBatchUpdates &&
                    updateSuccessCnt != count.length) {
                    // Oracle batching specifics:
                    // treat update/delete of SUCCESS_NO_INFO as failed case
                    // because:
                    // 1. transaction should be rolled back.
                    // 2. if DataCache is enabled, objects in
                    //    cache should be removed.
                    if (failed != null)
                        _exceptions.add(new OptimisticException(failed));
                    else if (row.getAction() == Row.ACTION_INSERT)
                        throw new SQLException(_loc.get(
                            "update-failed-no-failed-obj",
                            String.valueOf(count[i]),
                            row.getSQL(_dict)).getMessage());
                }
                if (_log.isTraceEnabled())
                    _log.trace(_loc.get("batch_update_info",
                        String.valueOf(cnt),
                        row.getSQL(_dict)).getMessage());
                break;
            case 0: // no row is inserted, treats it as failed
                // case
                logSQLWarnings(ps);
                if (failed != null)
                    _exceptions.add(new OptimisticException(failed));
                else if (row.getAction() == Row.ACTION_INSERT)
                    throw new SQLException(_loc.get(
                        "update-failed-no-failed-obj",
                        String.valueOf(count[i]),
                        row.getSQL(_dict)).getMessage());
            }
        }
    }
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Examples of org.apache.openjpa.jdbc.sql.RowImpl

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        int batchSize = batchedRows.size();
        if (batchedSql != null &&  batchSize > 0) {
            PreparedStatement ps = null;
            try {
                RowImpl onerow = null;
                ps = prepareStatement(batchedSql);
                if (batchSize == 1) {
                    // execute a single row.
                    onerow = (RowImpl) batchedRows.get(0);
                    flushSingleRow(onerow, ps);
                } else {
                    // cache has more than one rows, execute as batch.
                    int count = 0;
                    int batchedRowsBaseIndex = 0;
                    Iterator itr = batchedRows.iterator();
                    while (itr.hasNext()) {
                        onerow = (RowImpl) itr.next();
                        if (_batchLimit == 1) {
                            flushSingleRow(onerow, ps);
                        } else {
                            if (count < _batchLimit || _batchLimit == -1) {
                                if (ps != null)
                                    onerow.flush(ps, _dict, _store);
                                addBatch(ps, onerow, count);
                                count++;
                            } else {
                                // reach the batchLimit, execute the batch
                                int[] rtn = executeBatch(ps);
                                checkUpdateCount(rtn, batchedRowsBaseIndex, ps);

                                batchedRowsBaseIndex += _batchLimit;

                                if (ps != null)
                                    onerow.flush(ps, _dict, _store);
                                addBatch(ps, onerow, count);
                                // reset the count to 1 for new batch
                                count = 1;
                            }
                        }
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Examples of org.apache.openjpa.jdbc.sql.RowImpl

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        int updateSuccessCnt = _dict.getBatchUpdateCount(ps);
        Object failed = null;
        List batchedRows = getBatchedRows();
        for (int i = 0; i < count.length; i++) {
            cnt = count[i];
            RowImpl row = (RowImpl) batchedRows.get(batchedRowsBaseIndex + i);
            failed = row.getFailedObject();
            switch (cnt) {
            case Statement.EXECUTE_FAILED: // -3
                if (failed != null || row.getAction() == Row.ACTION_UPDATE)
                    _exceptions.add(new OptimisticException(failed));
                else if (row.getAction() == Row.ACTION_INSERT)
                    throw new SQLException(_loc.get(
                        "update-failed-no-failed-obj",
                        String.valueOf(count[i]),
                        row.getSQL(_dict)).getMessage());
                break;
            case Statement.SUCCESS_NO_INFO: // -2
                if (_dict.reportsSuccessNoInfoOnBatchUpdates &&                   
                    updateSuccessCnt != count.length) {
                    // Oracle batching specifics:
                    // treat update/delete of SUCCESS_NO_INFO as failed case
                    // because:
                    // 1. transaction should be rolled back.
                    // 2. if DataCache is enabled, objects in
                    //    cache should be removed.
                    if (failed != null)
                        _exceptions.add(new OptimisticException(failed));
                    else if (row.getAction() == Row.ACTION_INSERT)
                        throw new SQLException(_loc.get(
                            "update-failed-no-failed-obj",
                            String.valueOf(count[i]),
                            row.getSQL(_dict)).getMessage());
                }
                if (_log.isTraceEnabled())
                    _log.trace(_loc.get("batch_update_info",
                        String.valueOf(cnt),
                        row.getSQL(_dict)).getMessage());
                break;
            case 0: // no row is inserted, treats it as failed
                // case
                if (failed != null)
                    _exceptions.add(new OptimisticException(failed));
                else if (row.getAction() == Row.ACTION_INSERT)
                    throw new SQLException(_loc.get(
                        "update-failed-no-failed-obj",
                        String.valueOf(count[i]),
                        row.getSQL(_dict)).getMessage());
            }
        }
    }
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