Examples with JsonStringHashMap org.apache.drill.exec.util.JsonStringHashMap used on opensource projects

Example 16 with JsonStringHashMap

use of org.apache.drill.exec.util.JsonStringHashMap in project drill by apache.

the class TestOutputBatchSize method testFlattenListOfMaps.

@Test
public void testFlattenListOfMaps() throws Exception {
    PhysicalOperator flatten = new FlattenPOP(null, SchemaPath.getSimplePath("c"));
    mockOpContext(flatten, initReservation, maxAllocation);
    // create input rows like this.
    // "a" : 5, "b" : wideString,
    // "c" : [ [{"trans_id":"t1", amount:100, trans_time:7777777, type:sports}, {"trans_id":"t1", amount:100, trans_time:8888888, type:groceries}],
    // [{"trans_id":"t1", amount:100, trans_time:7777777, type:sports}, {"trans_id":"t1", amount:100, trans_time:8888888, type:groceries}],
    // [{"trans_id":"t1", amount:100, trans_time:7777777, type:sports}, {"trans_id":"t1", amount:100, trans_time:8888888, type:groceries}] ]
    List<String> inputJsonBatches = Lists.newArrayList();
    StringBuilder batchString = new StringBuilder();
    batchString.append("[");
    for (int i = 0; i < numRows; i++) {
        batchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : [" + "[ { \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777, \"type\":\"sports\"}," + " { " + "\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"} ], " + "[ { \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777, \"type\":\"sports\"}," + " { " + "\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"} ], " + "[ { \"trans_id\":\"t1\", \"amount\":100, " + "\"trans_time\":7777777, \"type\":\"sports\"}," + " { " + "\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"} ]");
        batchString.append("]},");
    }
    batchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : [" + "[ { \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777, \"type\":\"sports\"}," + " { " + "\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"} ], " + "[ { \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777, \"type\":\"sports\"}," + " { " + "\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"} ], " + "[ { \"trans_id\":\"t1\", \"amount\":100, " + "\"trans_time\":7777777, \"type\":\"sports\"}," + " { " + "\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"} ]");
    batchString.append("]}]");
    inputJsonBatches.add(batchString.toString());
    // Figure out what will be approximate total output size out of flatten for input above
    // We will use this sizing information to set output batch size so we can produce desired
    // number of batches that can be verified.
    // output rows will be like this.
    // "a" : 5, "b" : wideString, "c" : [{"trans_id":"t1", amount:100, trans_time:7777777, type:sports}, {"trans_id":"t1", amount:100, trans_time:8888888, type:groceries}]
    // "a" : 5, "b" : wideString, "c" : [{"trans_id":"t1", amount:100, trans_time:7777777, type:sports}, {"trans_id":"t1", amount:100, trans_time:8888888, type:groceries}]
    List<String> expectedJsonBatches = Lists.newArrayList();
    StringBuilder expectedBatchString = new StringBuilder();
    expectedBatchString.append("[");
    for (int i = 0; i < numRows; i++) {
        expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + "[ { \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777, \"type\":\"sports\"}," + " { " + "\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"} ]},");
        expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + "[ { \"trans_id\":\"t1\", \"amount\":100, " + "\"trans_time\":7777777, \"type\":\"sports\"}," + " { " + "\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"}]},");
        expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + "[ { \"trans_id\":\"t1\", \"amount\":100, " + "\"trans_time\":7777777, \"type\":\"sports\"}," + " { " + "\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"}]},");
    }
    expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + "[ { \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777, \"type\":\"sports\"}," + " { " + "\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"} ]},");
    expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + "[ { \"trans_id\":\"t1\", \"amount\":100, " + "\"trans_time\":7777777, \"type\":\"sports\"}," + " { " + "\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"}]},");
    expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + "[ { \"trans_id\":\"t1\", \"amount\":100, " + "\"trans_time\":7777777, \"type\":\"sports\"}," + " { " + "\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"}]}");
    expectedBatchString.append("]");
    expectedJsonBatches.add(expectedBatchString.toString());
    long totalSize = getExpectedSize(expectedJsonBatches);
    // set the output batch size to 1/2 of total size expected.
    // We will get approximately get 2 batches and max of 4.
    fragContext.getOptions().setLocalOption("drill.exec.memory.operator.output_batch_size", totalSize / 2);
    LegacyOperatorTestBuilder opTestBuilder = legacyOpTestBuilder().physicalOperator(flatten).inputDataStreamJson(inputJsonBatches).baselineColumns("a", "b", "c").expectedNumBatches(// verify number of batches
    2).expectedBatchSize(// verify batch size.
    totalSize / 2);
    final JsonStringHashMap<String, Object> resultExpected1 = new JsonStringHashMap<>();
    resultExpected1.put("trans_id", new Text("t1"));
    resultExpected1.put("amount", new Long(100));
    resultExpected1.put("trans_time", new Long(7777777));
    resultExpected1.put("type", new Text("sports"));
    final JsonStringHashMap<String, Object> resultExpected2 = new JsonStringHashMap<>();
    resultExpected2.put("trans_id", new Text("t2"));
    resultExpected2.put("amount", new Long(1000));
    resultExpected2.put("trans_time", new Long(8888888));
    resultExpected2.put("type", new Text("groceries"));
    final JsonStringArrayList<JsonStringHashMap<String, Object>> results = new JsonStringArrayList<JsonStringHashMap<String, Object>>() {

        {
            add(resultExpected1);
            add(resultExpected2);
        }
    };
    for (int i = 0; i < numRows + 1; i++) {
        opTestBuilder.baselineValues(5l, wideString, results);
        opTestBuilder.baselineValues(5l, wideString, results);
        opTestBuilder.baselineValues(5l, wideString, results);
    }
    opTestBuilder.go();
}

Example 17 with JsonStringHashMap

use of org.apache.drill.exec.util.JsonStringHashMap in project drill by apache.

the class TestOutputBatchSize method testFlattenMap.

@Test
public void testFlattenMap() throws Exception {
    PhysicalOperator flatten = new FlattenPOP(null, SchemaPath.getSimplePath("c"));
    mockOpContext(flatten, initReservation, maxAllocation);
    // create input rows like this.
    // "a" : 5, "b" : wideString, "c" : [{"trans_id":"t1", amount:100, trans_time:7777777, type:sports}, {"trans_id":"t1", amount:100, trans_time:8888888, type:groceries}]
    List<String> inputJsonBatches = Lists.newArrayList();
    StringBuilder batchString = new StringBuilder();
    batchString.append("[");
    for (int i = 0; i < numRows; i++) {
        batchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : [" + " { \"trans_id\":\"t1\", \"amount\":100, " + "\"trans_time\":7777777, \"type\":\"sports\"}," + " { \"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"}");
        batchString.append("]},");
    }
    batchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : [" + " { \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777," + " \"type\":\"sports\"}," + " { \"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"}");
    batchString.append("]}]");
    inputJsonBatches.add(batchString.toString());
    // Figure out what will be approximate total output size out of flatten for input above
    // We will use this sizing information to set output batch size so we can produce desired
    // number of batches that can be verified.
    // output rows will be like this.
    // "a" : 5, "b" : wideString, "c" : {"trans_id":"t1", amount:100, trans_time:7777777, type:sports}
    // "a" : 5, "b" : wideString, "c" : {"trans_id":"t1", amount:100, trans_time:8888888, type:groceries}
    List<String> expectedJsonBatches = Lists.newArrayList();
    StringBuilder expectedBatchString = new StringBuilder();
    expectedBatchString.append("[");
    for (int i = 0; i < numRows; i++) {
        expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + "{\"trans_id\":\"t1\", \"amount\":100, " + "\"trans_time\":7777777, \"type\":\"sports\"}},");
        expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + "{\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"}},");
    }
    expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + "{\"trans_id\":\"t1\", \"amount\":100, " + "\"trans_time\":7777777, \"type\":\"sports\"}},");
    expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + "{\"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"}}");
    expectedBatchString.append("]");
    expectedJsonBatches.add(expectedBatchString.toString());
    long totalSize = getExpectedSize(expectedJsonBatches);
    // set the output batch size to 1/2 of total size expected.
    // We will get approximately get 2 batches and max of 4.
    fragContext.getOptions().setLocalOption("drill.exec.memory.operator.output_batch_size", totalSize / 2);
    LegacyOperatorTestBuilder opTestBuilder = legacyOpTestBuilder().physicalOperator(flatten).inputDataStreamJson(inputJsonBatches).baselineColumns("a", "b", "c").expectedNumBatches(// verify number of batches
    2).expectedBatchSize(// verify batch size.
    totalSize / 2);
    JsonStringHashMap<String, Object> resultExpected1 = new JsonStringHashMap<>();
    resultExpected1.put("trans_id", new Text("t1"));
    resultExpected1.put("amount", new Long(100));
    resultExpected1.put("trans_time", new Long(7777777));
    resultExpected1.put("type", new Text("sports"));
    JsonStringHashMap<String, Object> resultExpected2 = new JsonStringHashMap<>();
    resultExpected2.put("trans_id", new Text("t2"));
    resultExpected2.put("amount", new Long(1000));
    resultExpected2.put("trans_time", new Long(8888888));
    resultExpected2.put("type", new Text("groceries"));
    for (int i = 0; i < numRows + 1; i++) {
        opTestBuilder.baselineValues(5l, wideString, resultExpected1);
        opTestBuilder.baselineValues(5l, wideString, resultExpected2);
    }
    opTestBuilder.go();
}

Example 18 with JsonStringHashMap

use of org.apache.drill.exec.util.JsonStringHashMap in project drill by apache.

the class TestOutputBatchSize method testFlattenNestedMap.

@Test
public void testFlattenNestedMap() throws Exception {
    PhysicalOperator flatten = new FlattenPOP(null, SchemaPath.getSimplePath("c"));
    mockOpContext(flatten, initReservation, maxAllocation);
    // create input rows like this.
    // "a" : 5, "b" : wideString,
    // "c" : [ {innerMap: {"trans_id":"t1", amount:100, trans_time:7777777, type:sports}, "trans_id":"t1", amount:100, trans_time:8888888, type:groceries},
    // {innerMap: {"trans_id":"t1", amount:100, trans_time:7777777, type:sports}, "trans_id":"t1", amount:100, trans_time:8888888, type:groceries} ]
    List<String> inputJsonBatches = Lists.newArrayList();
    StringBuilder batchString = new StringBuilder();
    StringBuilder innerMap = new StringBuilder();
    innerMap.append("{ \"trans_id\":\"inner_trans_t1\", \"amount\":100, \"trans_time\":7777777, \"type\":\"sports\"}");
    batchString.append("[");
    for (int i = 0; i < numRows; i++) {
        batchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : [" + " { \"innerMap\": " + innerMap + ", \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777, " + "\"type\":\"sports\"}," + " { \"innerMap\": " + innerMap + ", \"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"}]");
        batchString.append("},");
    }
    batchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : [" + " { \"innerMap\": " + innerMap + ", \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777, " + "\"type\":\"sports\"}," + " { \"innerMap\": " + innerMap + ",  \"trans_id\":\"t2\", \"amount\":1000, \"trans_time\":8888888, \"type\":\"groceries\"}");
    batchString.append("]}]");
    inputJsonBatches.add(batchString.toString());
    // Figure out what will be approximate total output size out of flatten for input above
    // We will use this sizing information to set output batch size so we can produce desired
    // number of batches that can be verified.
    // output rows will be like this.
    // "a" : 5, "b" : wideString, "c" : {innerMap: {"trans_id":"t1", amount:100, trans_time:7777777, type:sports}, "trans_id":"t1", amount:100, trans_time:8888888, type:groceries}
    // "a" : 5, "b" : wideString, "c" : {innerMap: {"trans_id":"t1", amount:100, trans_time:7777777, type:sports}, "trans_id":"t1", amount:100, trans_time:8888888, type:groceries}
    List<String> expectedJsonBatches = Lists.newArrayList();
    StringBuilder expectedBatchString = new StringBuilder();
    expectedBatchString.append("[");
    for (int i = 0; i < numRows; i++) {
        expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + " { \"innerMap\": " + innerMap + ", \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777, " + "\"type\":\"sports\"} }, ");
        expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + " { \"innerMap\": " + innerMap + ", \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777, " + "\"type\":\"sports\"} }, ");
    }
    expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + " { \"innerMap\": " + innerMap + ", \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777, " + "\"type\":\"sports\"} }, ");
    expectedBatchString.append("{\"a\": 5, " + "\"b\" : " + "\"" + wideString + "\"," + "\"c\" : " + " { \"innerMap\": " + innerMap + ", \"trans_id\":\"t1\", \"amount\":100, \"trans_time\":7777777, " + "\"type\":\"sports\"} }");
    expectedBatchString.append("]");
    expectedJsonBatches.add(expectedBatchString.toString());
    long totalSize = getExpectedSize(expectedJsonBatches);
    // set the output batch size to 1/2 of total size expected.
    // We will get approximately get 2 batches and max of 4.
    fragContext.getOptions().setLocalOption("drill.exec.memory.operator.output_batch_size", totalSize / 2);
    LegacyOperatorTestBuilder opTestBuilder = legacyOpTestBuilder().physicalOperator(flatten).inputDataStreamJson(inputJsonBatches).baselineColumns("a", "b", "c").expectedNumBatches(// verify number of batches
    2).expectedBatchSize(// verify batch size.
    totalSize / 2);
    JsonStringHashMap<String, Object> innerMapResult = new JsonStringHashMap<>();
    innerMapResult.put("trans_id", new Text("inner_trans_t1"));
    innerMapResult.put("amount", new Long(100));
    innerMapResult.put("trans_time", new Long(7777777));
    innerMapResult.put("type", new Text("sports"));
    JsonStringHashMap<String, Object> resultExpected1 = new JsonStringHashMap<>();
    resultExpected1.put("trans_id", new Text("t1"));
    resultExpected1.put("amount", new Long(100));
    resultExpected1.put("trans_time", new Long(7777777));
    resultExpected1.put("type", new Text("sports"));
    resultExpected1.put("innerMap", innerMapResult);
    JsonStringHashMap<String, Object> resultExpected2 = new JsonStringHashMap<>();
    resultExpected2.put("trans_id", new Text("t2"));
    resultExpected2.put("amount", new Long(1000));
    resultExpected2.put("trans_time", new Long(8888888));
    resultExpected2.put("type", new Text("groceries"));
    resultExpected2.put("innerMap", innerMapResult);
    for (int i = 0; i < numRows + 1; i++) {
        opTestBuilder.baselineValues(5l, wideString, resultExpected1);
        opTestBuilder.baselineValues(5l, wideString, resultExpected2);
    }
    opTestBuilder.go();
}

Example 19 with JsonStringHashMap

use of org.apache.drill.exec.util.JsonStringHashMap in project drill by apache.

the class IcebergQueriesTest method testSelectSnapshotsMetadata.

@Test
public void testSelectSnapshotsMetadata() throws Exception {
    String query = "select * from dfs.tmp.`testAllTypes#snapshots`";
    List<Snapshot> snapshots = new ArrayList<>();
    table.snapshots().forEach(snapshots::add);
    JsonStringHashMap<Object, Object> summaryMap = new JsonStringHashMap<>();
    snapshots.get(0).summary().forEach((k, v) -> summaryMap.put(new Text(k.getBytes(StandardCharsets.UTF_8)), new Text(v.getBytes(StandardCharsets.UTF_8))));
    JsonStringHashMap<Object, Object> secondSummaryMap = new JsonStringHashMap<>();
    snapshots.get(1).summary().forEach((k, v) -> secondSummaryMap.put(new Text(k.getBytes(StandardCharsets.UTF_8)), new Text(v.getBytes(StandardCharsets.UTF_8))));
    testBuilder().sqlQuery(query).unOrdered().baselineColumns("committed_at", "snapshot_id", "parent_id", "operation", "manifest_list", "summary").baselineValues(LocalDateTime.ofInstant(Instant.ofEpochMilli(snapshots.get(0).timestampMillis()), ZoneId.of("UTC")), snapshots.get(0).snapshotId(), snapshots.get(0).parentId(), snapshots.get(0).operation(), snapshots.get(0).manifestListLocation(), summaryMap).baselineValues(LocalDateTime.ofInstant(Instant.ofEpochMilli(snapshots.get(1).timestampMillis()), ZoneId.of("UTC")), snapshots.get(1).snapshotId(), snapshots.get(1).parentId(), snapshots.get(1).operation(), snapshots.get(1).manifestListLocation(), secondSummaryMap).go();
}