use of org.apache.hive.streaming.StreamingConnection in project hive by apache.
the class TestCompactor method minorCompactWhileStreaming.
@Test
public void minorCompactWhileStreaming() throws Exception {
String dbName = "default";
String tblName = "cws";
String columnNamesProperty = "a,b";
String columnTypesProperty = "int:string";
executeStatementOnDriver("drop table if exists " + tblName, driver);
executeStatementOnDriver("CREATE TABLE " + tblName + "(a INT, b STRING) " + // currently ACID requires table to be bucketed
" CLUSTERED BY(a) INTO 1 BUCKETS" + " STORED AS ORC TBLPROPERTIES ('transactional'='true')", driver);
StreamingConnection connection = null;
try {
// Write a couple of batches
for (int i = 0; i < 2; i++) {
CompactorTestUtil.writeBatch(conf, dbName, tblName, false, false);
}
// Start a third batch, but don't close it.
connection = CompactorTestUtil.writeBatch(conf, dbName, tblName, false, true);
// Now, compact
TxnStore txnHandler = TxnUtils.getTxnStore(conf);
txnHandler.compact(new CompactionRequest(dbName, tblName, CompactionType.MINOR));
runWorker(conf);
// Find the location of the table
IMetaStoreClient msClient = new HiveMetaStoreClient(conf);
Table table = msClient.getTable(dbName, tblName);
FileSystem fs = FileSystem.get(conf);
FileStatus[] stat = fs.listStatus(new Path(table.getSd().getLocation()), AcidUtils.deltaFileFilter);
String[] names = new String[stat.length];
Path resultFile = null;
for (int i = 0; i < names.length; i++) {
names[i] = stat[i].getPath().getName();
if (names[i].equals("delta_0000001_0000004_v0000009")) {
resultFile = stat[i].getPath();
}
}
Arrays.sort(names);
String[] expected = new String[] { "delta_0000001_0000002", "delta_0000001_0000004_v0000009", "delta_0000003_0000004", "delta_0000005_0000006" };
if (!Arrays.deepEquals(expected, names)) {
Assert.fail("Expected: " + Arrays.toString(expected) + ", found: " + Arrays.toString(names) + ",stat=" + CompactorTestUtil.printFileStatus(stat));
}
CompactorTestUtil.checkExpectedTxnsPresent(null, new Path[] { resultFile }, columnNamesProperty, columnTypesProperty, 0, 1L, 4L, null, 1);
} finally {
if (connection != null) {
connection.close();
}
}
}
use of org.apache.hive.streaming.StreamingConnection in project hive by apache.
the class TestCompactor method majorCompactWhileStreaming.
@Test
public void majorCompactWhileStreaming() throws Exception {
String dbName = "default";
String tblName = "cws";
String columnNamesProperty = "a,b";
String columnTypesProperty = "int:string";
executeStatementOnDriver("drop table if exists " + tblName, driver);
executeStatementOnDriver("CREATE TABLE " + tblName + "(a INT, b STRING) " + // currently ACID requires table to be bucketed
" CLUSTERED BY(a) INTO 1 BUCKETS" + " STORED AS ORC TBLPROPERTIES ('transactional'='true') ", driver);
StreamingConnection connection = null;
try {
// Write a couple of batches
for (int i = 0; i < 2; i++) {
CompactorTestUtil.writeBatch(conf, dbName, tblName, false, false);
}
// Start a third batch, but don't close it. this delta will be ignored by compaction since
// it has an open txn in it
connection = CompactorTestUtil.writeBatch(conf, dbName, tblName, false, true);
runMajorCompaction(dbName, tblName);
// Find the location of the table
IMetaStoreClient msClient = new HiveMetaStoreClient(conf);
Table table = msClient.getTable(dbName, tblName);
FileSystem fs = FileSystem.get(conf);
FileStatus[] stat = fs.listStatus(new Path(table.getSd().getLocation()), AcidUtils.baseFileFilter);
if (1 != stat.length) {
Assert.fail("Expecting 1 file \"base_0000004\" and found " + stat.length + " files " + Arrays.toString(stat));
}
String name = stat[0].getPath().getName();
Assert.assertEquals("base_0000004_v0000009", name);
CompactorTestUtil.checkExpectedTxnsPresent(stat[0].getPath(), null, columnNamesProperty, columnTypesProperty, 0, 1L, 4L, null, 1);
} finally {
if (connection != null) {
connection.close();
}
}
}
use of org.apache.hive.streaming.StreamingConnection in project hive by apache.
the class TestCompactor method majorCompactWhileStreamingForSplitUpdate.
@Test
public void majorCompactWhileStreamingForSplitUpdate() throws Exception {
String dbName = "default";
String tblName = "cws";
String columnNamesProperty = "a,b";
String columnTypesProperty = "int:string";
executeStatementOnDriver("drop table if exists " + tblName, driver);
executeStatementOnDriver("CREATE TABLE " + tblName + "(a INT, b STRING) " + // currently ACID requires table to be bucketed
" CLUSTERED BY(a) INTO 2 BUCKETS" + " STORED AS ORC TBLPROPERTIES ('transactional'='true', " + "'transactional_properties'='default') ", // this turns on split-update U=D+I
driver);
// Write a couple of batches
for (int i = 0; i < 2; i++) {
CompactorTestUtil.writeBatch(conf, dbName, tblName, false, false);
}
// Start a third batch, but don't close it.
StreamingConnection connection1 = CompactorTestUtil.writeBatch(conf, dbName, tblName, false, true);
runMajorCompaction(dbName, tblName);
// Find the location of the table
IMetaStoreClient msClient = new HiveMetaStoreClient(conf);
Table table = msClient.getTable(dbName, tblName);
FileSystem fs = FileSystem.get(conf);
FileStatus[] stat = fs.listStatus(new Path(table.getSd().getLocation()), AcidUtils.baseFileFilter);
if (1 != stat.length) {
Assert.fail("Expecting 1 file \"base_0000004\" and found " + stat.length + " files " + Arrays.toString(stat));
}
String name = stat[0].getPath().getName();
Assert.assertEquals("base_0000004_v0000009", name);
CompactorTestUtil.checkExpectedTxnsPresent(stat[0].getPath(), null, columnNamesProperty, columnTypesProperty, 1, 1L, 4L, null, 2);
if (connection1 != null) {
connection1.close();
}
}
use of org.apache.hive.streaming.StreamingConnection in project hive by apache.
the class TestCompactor method minorCompactWhileStreamingWithSplitUpdate.
@Test
public void minorCompactWhileStreamingWithSplitUpdate() throws Exception {
String dbName = "default";
String tblName = "cws";
String columnNamesProperty = "a,b";
String columnTypesProperty = "int:string";
executeStatementOnDriver("drop table if exists " + tblName, driver);
executeStatementOnDriver("CREATE TABLE " + tblName + "(a INT, b STRING) " + // currently ACID requires table to be bucketed
" CLUSTERED BY(a) INTO 1 BUCKETS" + " STORED AS ORC TBLPROPERTIES ('transactional'='true'," + "'transactional_properties'='default')", driver);
// Write a couple of batches
for (int i = 0; i < 2; i++) {
CompactorTestUtil.writeBatch(conf, dbName, tblName, false, false);
}
// Start a third batch, but don't close it.
StreamingConnection connection1 = CompactorTestUtil.writeBatch(conf, dbName, tblName, false, true);
// Now, compact
TxnStore txnHandler = TxnUtils.getTxnStore(conf);
txnHandler.compact(new CompactionRequest(dbName, tblName, CompactionType.MINOR));
runWorker(conf);
// Find the location of the table
IMetaStoreClient msClient = new HiveMetaStoreClient(conf);
Table table = msClient.getTable(dbName, tblName);
FileSystem fs = FileSystem.get(conf);
FileStatus[] stat = fs.listStatus(new Path(table.getSd().getLocation()), AcidUtils.deltaFileFilter);
String[] names = new String[stat.length];
Path resultFile = null;
for (int i = 0; i < names.length; i++) {
names[i] = stat[i].getPath().getName();
if (names[i].equals("delta_0000001_0000004_v0000009")) {
resultFile = stat[i].getPath();
}
}
Arrays.sort(names);
String[] expected = new String[] { "delta_0000001_0000002", "delta_0000001_0000004_v0000009", "delta_0000003_0000004", "delta_0000005_0000006" };
if (!Arrays.deepEquals(expected, names)) {
Assert.fail("Expected: " + Arrays.toString(expected) + ", found: " + Arrays.toString(names));
}
CompactorTestUtil.checkExpectedTxnsPresent(null, new Path[] { resultFile }, columnNamesProperty, columnTypesProperty, 0, 1L, 4L, null, 1);
// Assert that we have no delete deltas if there are no input delete events.
FileStatus[] deleteDeltaStat = fs.listStatus(new Path(table.getSd().getLocation()), AcidUtils.deleteEventDeltaDirFilter);
assertEquals(0, deleteDeltaStat.length);
if (connection1 != null) {
connection1.close();
}
}
use of org.apache.hive.streaming.StreamingConnection in project hive by apache.
the class TestReplicationOfHiveStreaming method testHiveStreamingStaticPartitionWithTxnBatchSizeAsOne.
@Test
public void testHiveStreamingStaticPartitionWithTxnBatchSizeAsOne() throws Throwable {
primary.dump(primaryDbName);
replica.loadWithoutExplain(replicatedDbName, primaryDbName);
// Create an ACID table.
String tblName = "alerts";
primary.run("use " + primaryDbName).run("create table " + tblName + "( id int , msg string ) " + "partitioned by (continent string, country string) " + "clustered by (id) into 5 buckets " + "stored as orc tblproperties(\"transactional\"=\"true\")");
// Static partition values
ArrayList<String> partitionVals = new ArrayList<String>(2);
partitionVals.add("Asia");
partitionVals.add("India");
// Create delimited record writer whose schema exactly matches table schema
StrictDelimitedInputWriter writer = StrictDelimitedInputWriter.newBuilder().withFieldDelimiter(',').build();
// Create and open streaming connection (default.src table has to exist already)
// By default, txn batch size is 1.
StreamingConnection connection = HiveStreamingConnection.newBuilder().withDatabase(primaryDbName).withTable(tblName).withStaticPartitionValues(partitionVals).withAgentInfo("example-agent-1").withRecordWriter(writer).withHiveConf(primary.getConf()).connect();
// Begin a transaction, write records and commit 1st transaction
connection.beginTransaction();
connection.write("1,val1".getBytes());
connection.write("2,val2".getBytes());
connection.commitTransaction();
// Replicate the committed data which should be visible.
primary.dump(primaryDbName);
replica.loadWithoutExplain(replicatedDbName, primaryDbName).run("use " + replicatedDbName).run("select msg from " + tblName + " where continent='Asia' and country='India' order by msg").verifyResults((new String[] { "val1", "val2" }));
// Begin another transaction, write more records and commit 2nd transaction after REPL LOAD.
connection.beginTransaction();
connection.write("3,val3".getBytes());
connection.write("4,val4".getBytes());
// Replicate events before committing txn. The uncommitted data shouldn't be seen.
primary.dump(primaryDbName);
replica.loadWithoutExplain(replicatedDbName, primaryDbName).run("use " + replicatedDbName).run("select msg from " + tblName + " where continent='Asia' and country='India' order by msg").verifyResults((new String[] { "val1", "val2" }));
connection.commitTransaction();
// After commit, the data should be replicated and visible.
primary.dump(primaryDbName);
replica.loadWithoutExplain(replicatedDbName, primaryDbName).run("use " + replicatedDbName).run("select msg from " + tblName + " where continent='Asia' and country='India' order by msg").verifyResults((new String[] { "val1", "val2", "val3", "val4" }));
// Begin another transaction, write more records and abort 3rd transaction
connection.beginTransaction();
connection.write("5,val5".getBytes());
connection.write("6,val6".getBytes());
connection.abortTransaction();
// Aborted data shouldn't be visible.
primary.dump(primaryDbName);
replica.loadWithoutExplain(replicatedDbName, primaryDbName).run("use " + replicatedDbName).run("select msg from " + tblName + " where continent='Asia' and country='India' order by msg").verifyResults((new String[] { "val1", "val2", "val3", "val4" }));
// Close the streaming connection
connection.close();
}
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