Examples with StructColumnVector org.apache.hadoop.hive.ql.exec.vector.StructColumnVector used on opensource projects

Example 11 with StructColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.StructColumnVector in project hive by apache.

the class VectorizedColumnReaderTestBase method nestedStructRead1.

protected void nestedStructRead1(boolean isDictionaryEncoding) throws Exception {
    Configuration conf = new Configuration();
    conf.set(IOConstants.COLUMNS, "nested_struct_field");
    conf.set(IOConstants.COLUMNS_TYPES, "struct<nsf:struct<c:int>>");
    conf.setBoolean(ColumnProjectionUtils.READ_ALL_COLUMNS, false);
    conf.set(ColumnProjectionUtils.READ_COLUMN_IDS_CONF_STR, "0");
    String schema = "message hive_schema {\n" + "group nested_struct_field {\n" + "  optional group nsf {\n" + "    optional int32 c;\n" + "  }" + "}\n";
    VectorizedParquetRecordReader reader = createTestParquetReader(schema, conf);
    VectorizedRowBatch previous = reader.createValue();
    int c = 0;
    try {
        while (reader.next(NullWritable.get(), previous)) {
            StructColumnVector vector = (StructColumnVector) previous.cols[0];
            StructColumnVector sv = (StructColumnVector) vector.fields[0];
            LongColumnVector cv = (LongColumnVector) sv.fields[0];
            for (int i = 0; i < cv.vector.length; i++) {
                if (c == nElements) {
                    break;
                }
                assertEquals(getIntValue(isDictionaryEncoding, c), cv.vector[i]);
                assertFalse(vector.isNull[i]);
                assertFalse(vector.isRepeating);
                c++;
            }
        }
        assertEquals("It doesn't exit at expected position", nElements, c);
    } finally {
        reader.close();
    }
}

Example 12 with StructColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.StructColumnVector in project hive by apache.

the class VectorizedColumnReaderTestBase method structRead.

protected void structRead(boolean isDictionaryEncoding) throws Exception {
    Configuration conf = new Configuration();
    conf.set(IOConstants.COLUMNS, "struct_field");
    conf.set(IOConstants.COLUMNS_TYPES, "struct<a:int,b:double>");
    conf.setBoolean(ColumnProjectionUtils.READ_ALL_COLUMNS, false);
    conf.set(ColumnProjectionUtils.READ_COLUMN_IDS_CONF_STR, "0");
    String schema = "message hive_schema {\n" + "group struct_field {\n" + "  optional int32 a;\n" + "  optional double b;\n" + "}\n" + "}\n";
    VectorizedParquetRecordReader reader = createTestParquetReader(schema, conf);
    VectorizedRowBatch previous = reader.createValue();
    int c = 0;
    try {
        while (reader.next(NullWritable.get(), previous)) {
            StructColumnVector vector = (StructColumnVector) previous.cols[0];
            LongColumnVector cv = (LongColumnVector) vector.fields[0];
            DoubleColumnVector dv = (DoubleColumnVector) vector.fields[1];
            for (int i = 0; i < cv.vector.length; i++) {
                if (c == nElements) {
                    break;
                }
                assertEquals(getIntValue(isDictionaryEncoding, c), cv.vector[i]);
                assertEquals(getDoubleValue(isDictionaryEncoding, c), dv.vector[i], 0);
                assertFalse(vector.isNull[i]);
                assertFalse(vector.isRepeating);
                c++;
            }
        }
        assertEquals("It doesn't exit at expected position", nElements, c);
    } finally {
        reader.close();
    }
}

Example 13 with StructColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.StructColumnVector in project hive by apache.

the class VectorizedColumnReaderTestBase method structReadSomeNull.

protected void structReadSomeNull(boolean isDictionaryEncoding) throws Exception {
    Configuration conf = new Configuration();
    conf.set(IOConstants.COLUMNS, "struct_field_some_null");
    conf.set(IOConstants.COLUMNS_TYPES, "struct<f:int,g:double>");
    conf.setBoolean(ColumnProjectionUtils.READ_ALL_COLUMNS, false);
    conf.set(ColumnProjectionUtils.READ_COLUMN_IDS_CONF_STR, "0");
    String schema = "message hive_schema {\n" + "group struct_field_some_null {\n" + "  optional int32 f;\n" + "  optional double g;\n" + "}\n";
    VectorizedParquetRecordReader reader = createTestParquetReader(schema, conf);
    VectorizedRowBatch previous = reader.createValue();
    int c = 0;
    try {
        while (reader.next(NullWritable.get(), previous)) {
            StructColumnVector sv = (StructColumnVector) previous.cols[0];
            LongColumnVector fv = (LongColumnVector) sv.fields[0];
            DoubleColumnVector gv = (DoubleColumnVector) sv.fields[1];
            for (int i = 0; i < fv.vector.length; i++) {
                if (c == nElements) {
                    break;
                }
                assertEquals(c % 2 == 0, fv.isNull[i]);
                assertEquals(c % 3 == 0, gv.isNull[i]);
                assertEquals(c % /* 2*3 = */
                6 == 0, sv.isNull[i]);
                if (!sv.isNull[i]) {
                    if (!fv.isNull[i]) {
                        assertEquals(getIntValue(isDictionaryEncoding, c), fv.vector[i]);
                    }
                    if (!gv.isNull[i]) {
                        assertEquals(getDoubleValue(isDictionaryEncoding, c), gv.vector[i], 0);
                    }
                }
                assertFalse(fv.isRepeating);
                c++;
            }
        }
        assertEquals("It doesn't exit at expected position", nElements, c);
    } finally {
        reader.close();
    }
}