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123,000
apache/spark
core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java
UnsafeExternalSorter.insertRecord
public void insertRecord( Object recordBase, long recordOffset, int length, long prefix, boolean prefixIsNull) throws IOException { assert(inMemSorter != null); if (inMemSorter.numRecords() >= numElementsForSpillThreshold) { logger.info("Spilling data because number of spilledRecords crossed th...
java
public void insertRecord( Object recordBase, long recordOffset, int length, long prefix, boolean prefixIsNull) throws IOException { assert(inMemSorter != null); if (inMemSorter.numRecords() >= numElementsForSpillThreshold) { logger.info("Spilling data because number of spilledRecords crossed th...
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Write a record to the sorter.
[ "Write", "a", "record", "to", "the", "sorter", "." ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java#L390-L414
123,001
apache/spark
core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java
UnsafeExternalSorter.merge
public void merge(UnsafeExternalSorter other) throws IOException { other.spill(); spillWriters.addAll(other.spillWriters); // remove them from `spillWriters`, or the files will be deleted in `cleanupResources`. other.spillWriters.clear(); other.cleanupResources(); }
java
public void merge(UnsafeExternalSorter other) throws IOException { other.spill(); spillWriters.addAll(other.spillWriters); // remove them from `spillWriters`, or the files will be deleted in `cleanupResources`. other.spillWriters.clear(); other.cleanupResources(); }
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Merges another UnsafeExternalSorters into this one, the other one will be emptied. @throws IOException
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java#L453-L459
123,002
apache/spark
core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java
UnsafeExternalSorter.getIterator
public UnsafeSorterIterator getIterator(int startIndex) throws IOException { if (spillWriters.isEmpty()) { assert(inMemSorter != null); UnsafeSorterIterator iter = inMemSorter.getSortedIterator(); moveOver(iter, startIndex); return iter; } else { LinkedList<UnsafeSorterIterator> qu...
java
public UnsafeSorterIterator getIterator(int startIndex) throws IOException { if (spillWriters.isEmpty()) { assert(inMemSorter != null); UnsafeSorterIterator iter = inMemSorter.getSortedIterator(); moveOver(iter, startIndex); return iter; } else { LinkedList<UnsafeSorterIterator> qu...
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Returns an iterator starts from startIndex, which will return the rows in the order as inserted. It is the caller's responsibility to call `cleanupResources()` after consuming this iterator. TODO: support forced spilling
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java#L634-L658
123,003
apache/spark
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/codegen/BufferHolder.java
BufferHolder.grow
void grow(int neededSize) { if (neededSize < 0) { throw new IllegalArgumentException( "Cannot grow BufferHolder by size " + neededSize + " because the size is negative"); } if (neededSize > ARRAY_MAX - totalSize()) { throw new IllegalArgumentException( "Cannot grow BufferHolder b...
java
void grow(int neededSize) { if (neededSize < 0) { throw new IllegalArgumentException( "Cannot grow BufferHolder by size " + neededSize + " because the size is negative"); } if (neededSize > ARRAY_MAX - totalSize()) { throw new IllegalArgumentException( "Cannot grow BufferHolder b...
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Grows the buffer by at least neededSize and points the row to the buffer.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/codegen/BufferHolder.java#L65-L90
123,004
apache/spark
common/network-common/src/main/java/org/apache/spark/network/sasl/SparkSaslClient.java
SparkSaslClient.firstToken
public synchronized byte[] firstToken() { if (saslClient != null && saslClient.hasInitialResponse()) { try { return saslClient.evaluateChallenge(new byte[0]); } catch (SaslException e) { throw Throwables.propagate(e); } } else { return new byte[0]; } }
java
public synchronized byte[] firstToken() { if (saslClient != null && saslClient.hasInitialResponse()) { try { return saslClient.evaluateChallenge(new byte[0]); } catch (SaslException e) { throw Throwables.propagate(e); } } else { return new byte[0]; } }
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Used to initiate SASL handshake with server.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/sasl/SparkSaslClient.java#L69-L79
123,005
apache/spark
common/network-common/src/main/java/org/apache/spark/network/sasl/SparkSaslClient.java
SparkSaslClient.response
public synchronized byte[] response(byte[] token) { try { return saslClient != null ? saslClient.evaluateChallenge(token) : new byte[0]; } catch (SaslException e) { throw Throwables.propagate(e); } }
java
public synchronized byte[] response(byte[] token) { try { return saslClient != null ? saslClient.evaluateChallenge(token) : new byte[0]; } catch (SaslException e) { throw Throwables.propagate(e); } }
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Respond to server's SASL token. @param token contains server's SASL token @return client's response SASL token
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/sasl/SparkSaslClient.java#L96-L102
123,006
apache/spark
common/network-common/src/main/java/org/apache/spark/network/sasl/SparkSaslClient.java
SparkSaslClient.dispose
@Override public synchronized void dispose() { if (saslClient != null) { try { saslClient.dispose(); } catch (SaslException e) { // ignore } finally { saslClient = null; } } }
java
@Override public synchronized void dispose() { if (saslClient != null) { try { saslClient.dispose(); } catch (SaslException e) { // ignore } finally { saslClient = null; } } }
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Disposes of any system resources or security-sensitive information the SaslClient might be using.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/sasl/SparkSaslClient.java#L108-L119
123,007
apache/spark
common/network-yarn/src/main/java/org/apache/spark/network/yarn/YarnShuffleServiceMetrics.java
YarnShuffleServiceMetrics.getMetrics
@Override public void getMetrics(MetricsCollector collector, boolean all) { MetricsRecordBuilder metricsRecordBuilder = collector.addRecord("sparkShuffleService"); for (Map.Entry<String, Metric> entry : metricSet.getMetrics().entrySet()) { collectMetric(metricsRecordBuilder, entry.getKey(), entry.getVa...
java
@Override public void getMetrics(MetricsCollector collector, boolean all) { MetricsRecordBuilder metricsRecordBuilder = collector.addRecord("sparkShuffleService"); for (Map.Entry<String, Metric> entry : metricSet.getMetrics().entrySet()) { collectMetric(metricsRecordBuilder, entry.getKey(), entry.getVa...
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Get metrics from the source @param collector to contain the resulting metrics snapshot @param all if true, return all metrics even if unchanged.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-yarn/src/main/java/org/apache/spark/network/yarn/YarnShuffleServiceMetrics.java#L47-L54
123,008
apache/spark
common/network-common/src/main/java/org/apache/spark/network/util/CryptoUtils.java
CryptoUtils.toCryptoConf
public static Properties toCryptoConf(String prefix, Iterable<Map.Entry<String, String>> conf) { Properties props = new Properties(); for (Map.Entry<String, String> e : conf) { String key = e.getKey(); if (key.startsWith(prefix)) { props.setProperty(COMMONS_CRYPTO_CONFIG_PREFIX + key.substri...
java
public static Properties toCryptoConf(String prefix, Iterable<Map.Entry<String, String>> conf) { Properties props = new Properties(); for (Map.Entry<String, String> e : conf) { String key = e.getKey(); if (key.startsWith(prefix)) { props.setProperty(COMMONS_CRYPTO_CONFIG_PREFIX + key.substri...
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Extract the commons-crypto configuration embedded in a list of config values. @param prefix Prefix in the given configuration that identifies the commons-crypto configs. @param conf List of configuration values.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/util/CryptoUtils.java#L37-L47
123,009
apache/spark
sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
ColumnVector.getBooleans
public boolean[] getBooleans(int rowId, int count) { boolean[] res = new boolean[count]; for (int i = 0; i < count; i++) { res[i] = getBoolean(rowId + i); } return res; }
java
public boolean[] getBooleans(int rowId, int count) { boolean[] res = new boolean[count]; for (int i = 0; i < count; i++) { res[i] = getBoolean(rowId + i); } return res; }
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Gets boolean type values from [rowId, rowId + count). The return values for the null slots are undefined and can be anything.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java#L92-L98
123,010
apache/spark
sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
ColumnVector.getBytes
public byte[] getBytes(int rowId, int count) { byte[] res = new byte[count]; for (int i = 0; i < count; i++) { res[i] = getByte(rowId + i); } return res; }
java
public byte[] getBytes(int rowId, int count) { byte[] res = new byte[count]; for (int i = 0; i < count; i++) { res[i] = getByte(rowId + i); } return res; }
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Gets byte type values from [rowId, rowId + count). The return values for the null slots are undefined and can be anything.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java#L110-L116
123,011
apache/spark
sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
ColumnVector.getShorts
public short[] getShorts(int rowId, int count) { short[] res = new short[count]; for (int i = 0; i < count; i++) { res[i] = getShort(rowId + i); } return res; }
java
public short[] getShorts(int rowId, int count) { short[] res = new short[count]; for (int i = 0; i < count; i++) { res[i] = getShort(rowId + i); } return res; }
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Gets short type values from [rowId, rowId + count). The return values for the null slots are undefined and can be anything.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java#L128-L134
123,012
apache/spark
sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
ColumnVector.getInts
public int[] getInts(int rowId, int count) { int[] res = new int[count]; for (int i = 0; i < count; i++) { res[i] = getInt(rowId + i); } return res; }
java
public int[] getInts(int rowId, int count) { int[] res = new int[count]; for (int i = 0; i < count; i++) { res[i] = getInt(rowId + i); } return res; }
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Gets int type values from [rowId, rowId + count). The return values for the null slots are undefined and can be anything.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java#L146-L152
123,013
apache/spark
sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
ColumnVector.getLongs
public long[] getLongs(int rowId, int count) { long[] res = new long[count]; for (int i = 0; i < count; i++) { res[i] = getLong(rowId + i); } return res; }
java
public long[] getLongs(int rowId, int count) { long[] res = new long[count]; for (int i = 0; i < count; i++) { res[i] = getLong(rowId + i); } return res; }
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Gets long type values from [rowId, rowId + count). The return values for the null slots are undefined and can be anything.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java#L164-L170
123,014
apache/spark
sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
ColumnVector.getFloats
public float[] getFloats(int rowId, int count) { float[] res = new float[count]; for (int i = 0; i < count; i++) { res[i] = getFloat(rowId + i); } return res; }
java
public float[] getFloats(int rowId, int count) { float[] res = new float[count]; for (int i = 0; i < count; i++) { res[i] = getFloat(rowId + i); } return res; }
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Gets float type values from [rowId, rowId + count). The return values for the null slots are undefined and can be anything.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java#L182-L188
123,015
apache/spark
sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
ColumnVector.getDoubles
public double[] getDoubles(int rowId, int count) { double[] res = new double[count]; for (int i = 0; i < count; i++) { res[i] = getDouble(rowId + i); } return res; }
java
public double[] getDoubles(int rowId, int count) { double[] res = new double[count]; for (int i = 0; i < count; i++) { res[i] = getDouble(rowId + i); } return res; }
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Gets double type values from [rowId, rowId + count). The return values for the null slots are undefined and can be anything.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java#L200-L206
123,016
apache/spark
sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java
ColumnVector.getInterval
public final CalendarInterval getInterval(int rowId) { if (isNullAt(rowId)) return null; final int months = getChild(0).getInt(rowId); final long microseconds = getChild(1).getLong(rowId); return new CalendarInterval(months, microseconds); }
java
public final CalendarInterval getInterval(int rowId) { if (isNullAt(rowId)) return null; final int months = getChild(0).getInt(rowId); final long microseconds = getChild(1).getLong(rowId); return new CalendarInterval(months, microseconds); }
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Returns the calendar interval type value for rowId. If the slot for rowId is null, it should return null. In Spark, calendar interval type value is basically an integer value representing the number of months in this interval, and a long value representing the number of microseconds in this interval. An interval type ...
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/vectorized/ColumnVector.java#L280-L285
123,017
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java
HiveAuthFactory.getAuthProcFactory
public TProcessorFactory getAuthProcFactory(ThriftCLIService service) throws LoginException { if (authTypeStr.equalsIgnoreCase(AuthTypes.KERBEROS.getAuthName())) { return KerberosSaslHelper.getKerberosProcessorFactory(saslServer, service); } else { return PlainSaslHelper.getPlainProcessorFactory(ser...
java
public TProcessorFactory getAuthProcFactory(ThriftCLIService service) throws LoginException { if (authTypeStr.equalsIgnoreCase(AuthTypes.KERBEROS.getAuthName())) { return KerberosSaslHelper.getKerberosProcessorFactory(saslServer, service); } else { return PlainSaslHelper.getPlainProcessorFactory(ser...
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Returns the thrift processor factory for HiveServer2 running in binary mode @param service @return @throws LoginException
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java#L205-L211
123,018
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java
HiveAuthFactory.loginFromKeytab
public static void loginFromKeytab(HiveConf hiveConf) throws IOException { String principal = hiveConf.getVar(ConfVars.HIVE_SERVER2_KERBEROS_PRINCIPAL); String keyTabFile = hiveConf.getVar(ConfVars.HIVE_SERVER2_KERBEROS_KEYTAB); if (principal.isEmpty() || keyTabFile.isEmpty()) { throw new IOException(...
java
public static void loginFromKeytab(HiveConf hiveConf) throws IOException { String principal = hiveConf.getVar(ConfVars.HIVE_SERVER2_KERBEROS_PRINCIPAL); String keyTabFile = hiveConf.getVar(ConfVars.HIVE_SERVER2_KERBEROS_KEYTAB); if (principal.isEmpty() || keyTabFile.isEmpty()) { throw new IOException(...
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Perform kerberos login using the hadoop shim API if the configuration is available
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java#L226-L234
123,019
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java
HiveAuthFactory.loginFromSpnegoKeytabAndReturnUGI
public static UserGroupInformation loginFromSpnegoKeytabAndReturnUGI(HiveConf hiveConf) throws IOException { String principal = hiveConf.getVar(ConfVars.HIVE_SERVER2_SPNEGO_PRINCIPAL); String keyTabFile = hiveConf.getVar(ConfVars.HIVE_SERVER2_SPNEGO_KEYTAB); if (principal.isEmpty() || keyTabFile.isEmpty...
java
public static UserGroupInformation loginFromSpnegoKeytabAndReturnUGI(HiveConf hiveConf) throws IOException { String principal = hiveConf.getVar(ConfVars.HIVE_SERVER2_SPNEGO_PRINCIPAL); String keyTabFile = hiveConf.getVar(ConfVars.HIVE_SERVER2_SPNEGO_KEYTAB); if (principal.isEmpty() || keyTabFile.isEmpty...
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Perform SPNEGO login using the hadoop shim API if the configuration is available
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java#L237-L246
123,020
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java
HiveAuthFactory.getDelegationToken
public String getDelegationToken(String owner, String renewer) throws HiveSQLException { if (saslServer == null) { throw new HiveSQLException( "Delegation token only supported over kerberos authentication", "08S01"); } try { String tokenStr = saslServer.getDelegationTokenWithService(o...
java
public String getDelegationToken(String owner, String renewer) throws HiveSQLException { if (saslServer == null) { throw new HiveSQLException( "Delegation token only supported over kerberos authentication", "08S01"); } try { String tokenStr = saslServer.getDelegationTokenWithService(o...
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retrieve delegation token for the given user
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java#L315-L334
123,021
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java
HiveAuthFactory.cancelDelegationToken
public void cancelDelegationToken(String delegationToken) throws HiveSQLException { if (saslServer == null) { throw new HiveSQLException( "Delegation token only supported over kerberos authentication", "08S01"); } try { saslServer.cancelDelegationToken(delegationToken); } catch (IO...
java
public void cancelDelegationToken(String delegationToken) throws HiveSQLException { if (saslServer == null) { throw new HiveSQLException( "Delegation token only supported over kerberos authentication", "08S01"); } try { saslServer.cancelDelegationToken(delegationToken); } catch (IO...
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cancel given delegation token
[ "cancel", "given", "delegation", "token" ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HiveAuthFactory.java#L337-L348
123,022
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/CLIServiceUtils.java
CLIServiceUtils.patternToRegex
public static String patternToRegex(String pattern) { if (pattern == null) { return ".*"; } else { StringBuilder result = new StringBuilder(pattern.length()); boolean escaped = false; for (int i = 0, len = pattern.length(); i < len; i++) { char c = pattern.charAt(i); if ...
java
public static String patternToRegex(String pattern) { if (pattern == null) { return ".*"; } else { StringBuilder result = new StringBuilder(pattern.length()); boolean escaped = false; for (int i = 0, len = pattern.length(); i < len; i++) { char c = pattern.charAt(i); if ...
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Convert a SQL search pattern into an equivalent Java Regex. @param pattern input which may contain '%' or '_' wildcard characters, or these characters escaped using {@code getSearchStringEscape()}. @return replace %/_ with regex search characters, also handle escaped characters.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/CLIServiceUtils.java#L45-L74
123,023
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/ServiceOperations.java
ServiceOperations.ensureCurrentState
public static void ensureCurrentState(Service.STATE state, Service.STATE expectedState) { if (state != expectedState) { throw new IllegalStateException("For this operation, the " + "current service state must be " ...
java
public static void ensureCurrentState(Service.STATE state, Service.STATE expectedState) { if (state != expectedState) { throw new IllegalStateException("For this operation, the " + "current service state must be " ...
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Verify that a service is in a given state. @param state the actual state a service is in @param expectedState the desired state @throws IllegalStateException if the service state is different from the desired state
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/ServiceOperations.java#L42-L50
123,024
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/ServiceOperations.java
ServiceOperations.init
public static void init(Service service, HiveConf configuration) { Service.STATE state = service.getServiceState(); ensureCurrentState(state, Service.STATE.NOTINITED); service.init(configuration); }
java
public static void init(Service service, HiveConf configuration) { Service.STATE state = service.getServiceState(); ensureCurrentState(state, Service.STATE.NOTINITED); service.init(configuration); }
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Initialize a service. The service state is checked <i>before</i> the operation begins. This process is <i>not</i> thread safe. @param service a service that must be in the state {@link Service.STATE#NOTINITED} @param configuration the configuration to initialize the service with @throws RuntimeException on a state cha...
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/ServiceOperations.java#L64-L68
123,025
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/ServiceOperations.java
ServiceOperations.start
public static void start(Service service) { Service.STATE state = service.getServiceState(); ensureCurrentState(state, Service.STATE.INITED); service.start(); }
java
public static void start(Service service) { Service.STATE state = service.getServiceState(); ensureCurrentState(state, Service.STATE.INITED); service.start(); }
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Start a service. The service state is checked <i>before</i> the operation begins. This process is <i>not</i> thread safe. @param service a service that must be in the state {@link Service.STATE#INITED} @throws RuntimeException on a state change failure @throws IllegalStateException if the service is in the wrong state
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/ServiceOperations.java#L81-L85
123,026
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/ServiceOperations.java
ServiceOperations.deploy
public static void deploy(Service service, HiveConf configuration) { init(service, configuration); start(service); }
java
public static void deploy(Service service, HiveConf configuration) { init(service, configuration); start(service); }
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Initialize then start a service. The service state is checked <i>before</i> the operation begins. This process is <i>not</i> thread safe. @param service a service that must be in the state {@link Service.STATE#NOTINITED} @param configuration the configuration to initialize the service with @throws RuntimeException on ...
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/ServiceOperations.java#L98-L101
123,027
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/ServiceOperations.java
ServiceOperations.stop
public static void stop(Service service) { if (service != null) { Service.STATE state = service.getServiceState(); if (state == Service.STATE.STARTED) { service.stop(); } } }
java
public static void stop(Service service) { if (service != null) { Service.STATE state = service.getServiceState(); if (state == Service.STATE.STARTED) { service.stop(); } } }
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Stop a service. Do nothing if the service is null or not in a state in which it can be/needs to be stopped. The service state is checked <i>before</i> the operation begins. This process is <i>not</i> thread safe. @param service a service or null
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/ServiceOperations.java#L112-L119
123,028
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java
VectorizedColumnReader.next
private boolean next() throws IOException { if (valuesRead >= endOfPageValueCount) { if (valuesRead >= totalValueCount) { // How do we get here? Throw end of stream exception? return false; } readPage(); } ++valuesRead; // TODO: Don't read for flat schemas //repetit...
java
private boolean next() throws IOException { if (valuesRead >= endOfPageValueCount) { if (valuesRead >= totalValueCount) { // How do we get here? Throw end of stream exception? return false; } readPage(); } ++valuesRead; // TODO: Don't read for flat schemas //repetit...
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Advances to the next value. Returns true if the value is non-null.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java#L136-L148
123,029
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java
VectorizedColumnReader.readBatch
void readBatch(int total, WritableColumnVector column) throws IOException { int rowId = 0; WritableColumnVector dictionaryIds = null; if (dictionary != null) { // SPARK-16334: We only maintain a single dictionary per row batch, so that it can be used to // decode all previous dictionary encoded ...
java
void readBatch(int total, WritableColumnVector column) throws IOException { int rowId = 0; WritableColumnVector dictionaryIds = null; if (dictionary != null) { // SPARK-16334: We only maintain a single dictionary per row batch, so that it can be used to // decode all previous dictionary encoded ...
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Reads `total` values from this columnReader into column.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java#L153-L235
123,030
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java
VectorizedColumnReader.constructConvertNotSupportedException
private SchemaColumnConvertNotSupportedException constructConvertNotSupportedException( ColumnDescriptor descriptor, WritableColumnVector column) { return new SchemaColumnConvertNotSupportedException( Arrays.toString(descriptor.getPath()), descriptor.getPrimitiveType().getPrimitiveTypeName()...
java
private SchemaColumnConvertNotSupportedException constructConvertNotSupportedException( ColumnDescriptor descriptor, WritableColumnVector column) { return new SchemaColumnConvertNotSupportedException( Arrays.toString(descriptor.getPath()), descriptor.getPrimitiveType().getPrimitiveTypeName()...
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Helper function to construct exception for parquet schema mismatch.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java#L244-L251
123,031
apache/spark
common/network-common/src/main/java/org/apache/spark/network/util/NettyUtils.java
NettyUtils.createEventLoop
public static EventLoopGroup createEventLoop(IOMode mode, int numThreads, String threadPrefix) { ThreadFactory threadFactory = createThreadFactory(threadPrefix); switch (mode) { case NIO: return new NioEventLoopGroup(numThreads, threadFactory); case EPOLL: return new EpollEventLoopG...
java
public static EventLoopGroup createEventLoop(IOMode mode, int numThreads, String threadPrefix) { ThreadFactory threadFactory = createThreadFactory(threadPrefix); switch (mode) { case NIO: return new NioEventLoopGroup(numThreads, threadFactory); case EPOLL: return new EpollEventLoopG...
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Creates a Netty EventLoopGroup based on the IOMode.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
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123,032
apache/spark
common/network-common/src/main/java/org/apache/spark/network/util/NettyUtils.java
NettyUtils.getServerChannelClass
public static Class<? extends ServerChannel> getServerChannelClass(IOMode mode) { switch (mode) { case NIO: return NioServerSocketChannel.class; case EPOLL: return EpollServerSocketChannel.class; default: throw new IllegalArgumentException("Unknown io mode: " + mode); }...
java
public static Class<? extends ServerChannel> getServerChannelClass(IOMode mode) { switch (mode) { case NIO: return NioServerSocketChannel.class; case EPOLL: return EpollServerSocketChannel.class; default: throw new IllegalArgumentException("Unknown io mode: " + mode); }...
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Returns the correct ServerSocketChannel class based on IOMode.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/util/NettyUtils.java#L87-L96
123,033
apache/spark
common/network-common/src/main/java/org/apache/spark/network/util/NettyUtils.java
NettyUtils.getRemoteAddress
public static String getRemoteAddress(Channel channel) { if (channel != null && channel.remoteAddress() != null) { return channel.remoteAddress().toString(); } return "<unknown remote>"; }
java
public static String getRemoteAddress(Channel channel) { if (channel != null && channel.remoteAddress() != null) { return channel.remoteAddress().toString(); } return "<unknown remote>"; }
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Returns the remote address on the channel or "&lt;unknown remote&gt;" if none exists.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
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123,034
apache/spark
common/network-common/src/main/java/org/apache/spark/network/util/NettyUtils.java
NettyUtils.defaultNumThreads
public static int defaultNumThreads(int numUsableCores) { final int availableCores; if (numUsableCores > 0) { availableCores = numUsableCores; } else { availableCores = Runtime.getRuntime().availableProcessors(); } return Math.min(availableCores, MAX_DEFAULT_NETTY_THREADS); }
java
public static int defaultNumThreads(int numUsableCores) { final int availableCores; if (numUsableCores > 0) { availableCores = numUsableCores; } else { availableCores = Runtime.getRuntime().availableProcessors(); } return Math.min(availableCores, MAX_DEFAULT_NETTY_THREADS); }
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Returns the default number of threads for both the Netty client and server thread pools. If numUsableCores is 0, we will use Runtime get an approximate number of available cores.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/util/NettyUtils.java#L118-L126
123,035
apache/spark
common/network-common/src/main/java/org/apache/spark/network/util/NettyUtils.java
NettyUtils.getSharedPooledByteBufAllocator
public static synchronized PooledByteBufAllocator getSharedPooledByteBufAllocator( boolean allowDirectBufs, boolean allowCache) { final int index = allowCache ? 0 : 1; if (_sharedPooledByteBufAllocator[index] == null) { _sharedPooledByteBufAllocator[index] = createPooledByteBufAllocato...
java
public static synchronized PooledByteBufAllocator getSharedPooledByteBufAllocator( boolean allowDirectBufs, boolean allowCache) { final int index = allowCache ? 0 : 1; if (_sharedPooledByteBufAllocator[index] == null) { _sharedPooledByteBufAllocator[index] = createPooledByteBufAllocato...
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Returns the lazily created shared pooled ByteBuf allocator for the specified allowCache parameter value.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/util/NettyUtils.java#L132-L144
123,036
apache/spark
common/network-common/src/main/java/org/apache/spark/network/util/NettyUtils.java
NettyUtils.createPooledByteBufAllocator
public static PooledByteBufAllocator createPooledByteBufAllocator( boolean allowDirectBufs, boolean allowCache, int numCores) { if (numCores == 0) { numCores = Runtime.getRuntime().availableProcessors(); } return new PooledByteBufAllocator( allowDirectBufs && PlatformDependent....
java
public static PooledByteBufAllocator createPooledByteBufAllocator( boolean allowDirectBufs, boolean allowCache, int numCores) { if (numCores == 0) { numCores = Runtime.getRuntime().availableProcessors(); } return new PooledByteBufAllocator( allowDirectBufs && PlatformDependent....
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Create a pooled ByteBuf allocator but disables the thread-local cache. Thread-local caches are disabled for TransportClients because the ByteBufs are allocated by the event loop thread, but released by the executor thread rather than the event loop thread. Those thread-local caches actually delay the recycling of buffe...
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/util/NettyUtils.java#L152-L170
123,037
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java
HttpAuthUtils.createCookieToken
public static String createCookieToken(String clientUserName) { StringBuffer sb = new StringBuffer(); sb.append(COOKIE_CLIENT_USER_NAME).append(COOKIE_KEY_VALUE_SEPARATOR).append(clientUserName) .append(COOKIE_ATTR_SEPARATOR); sb.append(COOKIE_CLIENT_RAND_NUMBER).append(COOKIE_KEY_VALUE_SEPARATOR) ...
java
public static String createCookieToken(String clientUserName) { StringBuffer sb = new StringBuffer(); sb.append(COOKIE_CLIENT_USER_NAME).append(COOKIE_KEY_VALUE_SEPARATOR).append(clientUserName) .append(COOKIE_ATTR_SEPARATOR); sb.append(COOKIE_CLIENT_RAND_NUMBER).append(COOKIE_KEY_VALUE_SEPARATOR) ...
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Creates and returns a HS2 cookie token. @param clientUserName Client User name. @return An unsigned cookie token generated from input parameters. The final cookie generated is of the following format : {@code cu=<username>&rn=<randomNumber>&s=<cookieSignature>}
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L94-L101
123,038
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java
HttpAuthUtils.getUserNameFromCookieToken
public static String getUserNameFromCookieToken(String tokenStr) { Map<String, String> map = splitCookieToken(tokenStr); if (!map.keySet().equals(COOKIE_ATTRIBUTES)) { LOG.error("Invalid token with missing attributes " + tokenStr); return null; } return map.get(COOKIE_CLIENT_USER_NAME); }
java
public static String getUserNameFromCookieToken(String tokenStr) { Map<String, String> map = splitCookieToken(tokenStr); if (!map.keySet().equals(COOKIE_ATTRIBUTES)) { LOG.error("Invalid token with missing attributes " + tokenStr); return null; } return map.get(COOKIE_CLIENT_USER_NAME); }
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Parses a cookie token to retrieve client user name. @param tokenStr Token String. @return A valid user name if input is of valid format, else returns null.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L108-L116
123,039
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java
HttpAuthUtils.splitCookieToken
private static Map<String, String> splitCookieToken(String tokenStr) { Map<String, String> map = new HashMap<String, String>(); StringTokenizer st = new StringTokenizer(tokenStr, COOKIE_ATTR_SEPARATOR); while (st.hasMoreTokens()) { String part = st.nextToken(); int separator = part.indexOf(COOK...
java
private static Map<String, String> splitCookieToken(String tokenStr) { Map<String, String> map = new HashMap<String, String>(); StringTokenizer st = new StringTokenizer(tokenStr, COOKIE_ATTR_SEPARATOR); while (st.hasMoreTokens()) { String part = st.nextToken(); int separator = part.indexOf(COOK...
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Splits the cookie token into attributes pairs. @param str input token. @return a map with the attribute pairs of the token if the input is valid. Else, returns null.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L124-L140
123,040
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/operation/Operation.java
Operation.validateFetchOrientation
protected void validateFetchOrientation(FetchOrientation orientation, EnumSet<FetchOrientation> supportedOrientations) throws HiveSQLException { if (!supportedOrientations.contains(orientation)) { throw new HiveSQLException("The fetch type " + orientation.toString() + " is not supported for th...
java
protected void validateFetchOrientation(FetchOrientation orientation, EnumSet<FetchOrientation> supportedOrientations) throws HiveSQLException { if (!supportedOrientations.contains(orientation)) { throw new HiveSQLException("The fetch type " + orientation.toString() + " is not supported for th...
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Verify if the given fetch orientation is part of the supported orientation types. @param orientation @param supportedOrientations @throws HiveSQLException
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/operation/Operation.java#L306-L312
123,041
apache/spark
common/unsafe/src/main/java/org/apache/spark/unsafe/Platform.java
Platform.allocateDirectBuffer
public static ByteBuffer allocateDirectBuffer(int size) { try { if (CLEANER_CREATE_METHOD == null) { // Can't set a Cleaner (see comments on field), so need to allocate via normal Java APIs try { return ByteBuffer.allocateDirect(size); } catch (OutOfMemoryError oome) { ...
java
public static ByteBuffer allocateDirectBuffer(int size) { try { if (CLEANER_CREATE_METHOD == null) { // Can't set a Cleaner (see comments on field), so need to allocate via normal Java APIs try { return ByteBuffer.allocateDirect(size); } catch (OutOfMemoryError oome) { ...
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Allocate a DirectByteBuffer, potentially bypassing the JVM's MaxDirectMemorySize limit.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/unsafe/src/main/java/org/apache/spark/unsafe/Platform.java#L214-L244
123,042
apache/spark
common/unsafe/src/main/java/org/apache/spark/unsafe/types/ByteArray.java
ByteArray.writeToMemory
public static void writeToMemory(byte[] src, Object target, long targetOffset) { Platform.copyMemory(src, Platform.BYTE_ARRAY_OFFSET, target, targetOffset, src.length); }
java
public static void writeToMemory(byte[] src, Object target, long targetOffset) { Platform.copyMemory(src, Platform.BYTE_ARRAY_OFFSET, target, targetOffset, src.length); }
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Writes the content of a byte array into a memory address, identified by an object and an offset. The target memory address must already been allocated, and have enough space to hold all the bytes in this string.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/unsafe/src/main/java/org/apache/spark/unsafe/types/ByteArray.java#L35-L37
123,043
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java
OffHeapColumnVector.allocateColumns
public static OffHeapColumnVector[] allocateColumns(int capacity, StructField[] fields) { OffHeapColumnVector[] vectors = new OffHeapColumnVector[fields.length]; for (int i = 0; i < fields.length; i++) { vectors[i] = new OffHeapColumnVector(capacity, fields[i].dataType()); } return vectors; }
java
public static OffHeapColumnVector[] allocateColumns(int capacity, StructField[] fields) { OffHeapColumnVector[] vectors = new OffHeapColumnVector[fields.length]; for (int i = 0; i < fields.length; i++) { vectors[i] = new OffHeapColumnVector(capacity, fields[i].dataType()); } return vectors; }
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Allocates columns to store elements of each field off heap. Capacity is the initial capacity of the vector and it will grow as necessary. Capacity is in number of elements, not number of bytes.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java#L50-L56
123,044
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java
OffHeapColumnVector.putByteArray
@Override public int putByteArray(int rowId, byte[] value, int offset, int length) { int result = arrayData().appendBytes(length, value, offset); Platform.putInt(null, lengthData + 4L * rowId, length); Platform.putInt(null, offsetData + 4L * rowId, result); return result; }
java
@Override public int putByteArray(int rowId, byte[] value, int offset, int length) { int result = arrayData().appendBytes(length, value, offset); Platform.putInt(null, lengthData + 4L * rowId, length); Platform.putInt(null, offsetData + 4L * rowId, result); return result; }
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APIs dealing with ByteArrays
[ "APIs", "dealing", "with", "ByteArrays" ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java#L521-L527
123,045
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java
OffHeapColumnVector.reserveInternal
@Override protected void reserveInternal(int newCapacity) { int oldCapacity = (nulls == 0L) ? 0 : capacity; if (isArray() || type instanceof MapType) { this.lengthData = Platform.reallocateMemory(lengthData, oldCapacity * 4L, newCapacity * 4L); this.offsetData = Platform.reallo...
java
@Override protected void reserveInternal(int newCapacity) { int oldCapacity = (nulls == 0L) ? 0 : capacity; if (isArray() || type instanceof MapType) { this.lengthData = Platform.reallocateMemory(lengthData, oldCapacity * 4L, newCapacity * 4L); this.offsetData = Platform.reallo...
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Split out the slow path.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/OffHeapColumnVector.java#L530-L556
123,046
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedRleValuesReader.java
VectorizedRleValuesReader.init
private void init(int bitWidth) { Preconditions.checkArgument(bitWidth >= 0 && bitWidth <= 32, "bitWidth must be >= 0 and <= 32"); this.bitWidth = bitWidth; this.bytesWidth = BytesUtils.paddedByteCountFromBits(bitWidth); this.packer = Packer.LITTLE_ENDIAN.newBytePacker(bitWidth); }
java
private void init(int bitWidth) { Preconditions.checkArgument(bitWidth >= 0 && bitWidth <= 32, "bitWidth must be >= 0 and <= 32"); this.bitWidth = bitWidth; this.bytesWidth = BytesUtils.paddedByteCountFromBits(bitWidth); this.packer = Packer.LITTLE_ENDIAN.newBytePacker(bitWidth); }
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Initializes the internal state for decoding ints of `bitWidth`.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedRleValuesReader.java#L122-L127
123,047
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedRleValuesReader.java
VectorizedRleValuesReader.readIntegers
@Override public void readIntegers(int total, WritableColumnVector c, int rowId) { int left = total; while (left > 0) { if (this.currentCount == 0) this.readNextGroup(); int n = Math.min(left, this.currentCount); switch (mode) { case RLE: c.putInts(rowId, n, currentValue); ...
java
@Override public void readIntegers(int total, WritableColumnVector c, int rowId) { int left = total; while (left > 0) { if (this.currentCount == 0) this.readNextGroup(); int n = Math.min(left, this.currentCount); switch (mode) { case RLE: c.putInts(rowId, n, currentValue); ...
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Since this is only used to decode dictionary IDs, only decoding integers is supported.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedRleValuesReader.java#L490-L509
123,048
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedRleValuesReader.java
VectorizedRleValuesReader.readUnsignedVarInt
private int readUnsignedVarInt() throws IOException { int value = 0; int shift = 0; int b; do { b = in.read(); value |= (b & 0x7F) << shift; shift += 7; } while ((b & 0x80) != 0); return value; }
java
private int readUnsignedVarInt() throws IOException { int value = 0; int shift = 0; int b; do { b = in.read(); value |= (b & 0x7F) << shift; shift += 7; } while ((b & 0x80) != 0); return value; }
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Reads the next varint encoded int.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedRleValuesReader.java#L554-L564
123,049
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedRleValuesReader.java
VectorizedRleValuesReader.readIntLittleEndianPaddedOnBitWidth
private int readIntLittleEndianPaddedOnBitWidth() throws IOException { switch (bytesWidth) { case 0: return 0; case 1: return in.read(); case 2: { int ch2 = in.read(); int ch1 = in.read(); return (ch1 << 8) + ch2; } case 3: { int ch3 = in...
java
private int readIntLittleEndianPaddedOnBitWidth() throws IOException { switch (bytesWidth) { case 0: return 0; case 1: return in.read(); case 2: { int ch2 = in.read(); int ch1 = in.read(); return (ch1 << 8) + ch2; } case 3: { int ch3 = in...
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Reads the next byteWidth little endian int.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedRleValuesReader.java#L580-L602
123,050
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedRleValuesReader.java
VectorizedRleValuesReader.readNextGroup
private void readNextGroup() { try { int header = readUnsignedVarInt(); this.mode = (header & 1) == 0 ? MODE.RLE : MODE.PACKED; switch (mode) { case RLE: this.currentCount = header >>> 1; this.currentValue = readIntLittleEndianPaddedOnBitWidth(); return; ...
java
private void readNextGroup() { try { int header = readUnsignedVarInt(); this.mode = (header & 1) == 0 ? MODE.RLE : MODE.PACKED; switch (mode) { case RLE: this.currentCount = header >>> 1; this.currentValue = readIntLittleEndianPaddedOnBitWidth(); return; ...
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Reads the next group.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedRleValuesReader.java#L611-L642
123,051
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/AbstractService.java
AbstractService.changeState
private void changeState(Service.STATE newState) { state = newState; // notify listeners for (ServiceStateChangeListener l : listeners) { l.stateChanged(this); } }
java
private void changeState(Service.STATE newState) { state = newState; // notify listeners for (ServiceStateChangeListener l : listeners) { l.stateChanged(this); } }
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Change to a new state and notify all listeners. This is a private method that is only invoked from synchronized methods, which avoid having to clone the listener list. It does imply that the state change listener methods should be short lived, as they will delay the state transition. @param newState new service state
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/AbstractService.java#L176-L182
123,052
apache/spark
core/src/main/java/org/apache/spark/memory/MemoryConsumer.java
MemoryConsumer.allocateArray
public LongArray allocateArray(long size) { long required = size * 8L; MemoryBlock page = taskMemoryManager.allocatePage(required, this); if (page == null || page.size() < required) { throwOom(page, required); } used += required; return new LongArray(page); }
java
public LongArray allocateArray(long size) { long required = size * 8L; MemoryBlock page = taskMemoryManager.allocatePage(required, this); if (page == null || page.size() < required) { throwOom(page, required); } used += required; return new LongArray(page); }
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Allocates a LongArray of `size`. Note that this method may throw `SparkOutOfMemoryError` if Spark doesn't have enough memory for this allocation, or throw `TooLargePageException` if this `LongArray` is too large to fit in a single page. The caller side should take care of these two exceptions, or make sure the `size` i...
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/memory/MemoryConsumer.java#L94-L102
123,053
apache/spark
core/src/main/java/org/apache/spark/memory/MemoryConsumer.java
MemoryConsumer.allocatePage
protected MemoryBlock allocatePage(long required) { MemoryBlock page = taskMemoryManager.allocatePage(Math.max(pageSize, required), this); if (page == null || page.size() < required) { throwOom(page, required); } used += page.size(); return page; }
java
protected MemoryBlock allocatePage(long required) { MemoryBlock page = taskMemoryManager.allocatePage(Math.max(pageSize, required), this); if (page == null || page.size() < required) { throwOom(page, required); } used += page.size(); return page; }
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Allocate a memory block with at least `required` bytes. @throws SparkOutOfMemoryError
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/memory/MemoryConsumer.java#L116-L123
123,054
apache/spark
common/network-common/src/main/java/org/apache/spark/network/protocol/MessageWithHeader.java
MessageWithHeader.transferTo
@Override public long transferTo(final WritableByteChannel target, final long position) throws IOException { Preconditions.checkArgument(position == totalBytesTransferred, "Invalid position."); // Bytes written for header in this call. long writtenHeader = 0; if (header.readableBytes() > 0) { wr...
java
@Override public long transferTo(final WritableByteChannel target, final long position) throws IOException { Preconditions.checkArgument(position == totalBytesTransferred, "Invalid position."); // Bytes written for header in this call. long writtenHeader = 0; if (header.readableBytes() > 0) { wr...
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This code is more complicated than you would think because we might require multiple transferTo invocations in order to transfer a single MessageWithHeader to avoid busy waiting. The contract is that the caller will ensure position is properly set to the total number of bytes transferred so far (i.e. value returned by...
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/protocol/MessageWithHeader.java#L105-L128
123,055
apache/spark
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java
UnsafeRow.pointTo
public void pointTo(Object baseObject, long baseOffset, int sizeInBytes) { assert numFields >= 0 : "numFields (" + numFields + ") should >= 0"; assert sizeInBytes % 8 == 0 : "sizeInBytes (" + sizeInBytes + ") should be a multiple of 8"; this.baseObject = baseObject; this.baseOffset = baseOffset; thi...
java
public void pointTo(Object baseObject, long baseOffset, int sizeInBytes) { assert numFields >= 0 : "numFields (" + numFields + ") should >= 0"; assert sizeInBytes % 8 == 0 : "sizeInBytes (" + sizeInBytes + ") should be a multiple of 8"; this.baseObject = baseObject; this.baseOffset = baseOffset; thi...
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Update this UnsafeRow to point to different backing data. @param baseObject the base object @param baseOffset the offset within the base object @param sizeInBytes the size of this row's backing data, in bytes
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java#L166-L172
123,056
apache/spark
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java
UnsafeRow.setDecimal
@Override public void setDecimal(int ordinal, Decimal value, int precision) { assertIndexIsValid(ordinal); if (precision <= Decimal.MAX_LONG_DIGITS()) { // compact format if (value == null) { setNullAt(ordinal); } else { setLong(ordinal, value.toUnscaledLong()); } }...
java
@Override public void setDecimal(int ordinal, Decimal value, int precision) { assertIndexIsValid(ordinal); if (precision <= Decimal.MAX_LONG_DIGITS()) { // compact format if (value == null) { setNullAt(ordinal); } else { setLong(ordinal, value.toUnscaledLong()); } }...
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Updates the decimal column. Note: In order to support update a decimal with precision > 18, CAN NOT call setNullAt() for this column.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java#L264-L298
123,057
apache/spark
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java
UnsafeRow.copy
@Override public UnsafeRow copy() { UnsafeRow rowCopy = new UnsafeRow(numFields); final byte[] rowDataCopy = new byte[sizeInBytes]; Platform.copyMemory( baseObject, baseOffset, rowDataCopy, Platform.BYTE_ARRAY_OFFSET, sizeInBytes ); rowCopy.pointTo(rowDataCopy, Platfo...
java
@Override public UnsafeRow copy() { UnsafeRow rowCopy = new UnsafeRow(numFields); final byte[] rowDataCopy = new byte[sizeInBytes]; Platform.copyMemory( baseObject, baseOffset, rowDataCopy, Platform.BYTE_ARRAY_OFFSET, sizeInBytes ); rowCopy.pointTo(rowDataCopy, Platfo...
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Copies this row, returning a self-contained UnsafeRow that stores its data in an internal byte array rather than referencing data stored in a data page.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java#L456-L469
123,058
apache/spark
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java
UnsafeRow.createFromByteArray
public static UnsafeRow createFromByteArray(int numBytes, int numFields) { final UnsafeRow row = new UnsafeRow(numFields); row.pointTo(new byte[numBytes], numBytes); return row; }
java
public static UnsafeRow createFromByteArray(int numBytes, int numFields) { final UnsafeRow row = new UnsafeRow(numFields); row.pointTo(new byte[numBytes], numBytes); return row; }
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Creates an empty UnsafeRow from a byte array with specified numBytes and numFields. The returned row is invalid until we call copyFrom on it.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java#L475-L479
123,059
apache/spark
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java
UnsafeRow.writeToStream
public void writeToStream(OutputStream out, byte[] writeBuffer) throws IOException { if (baseObject instanceof byte[]) { int offsetInByteArray = (int) (baseOffset - Platform.BYTE_ARRAY_OFFSET); out.write((byte[]) baseObject, offsetInByteArray, sizeInBytes); }
java
public void writeToStream(OutputStream out, byte[] writeBuffer) throws IOException { if (baseObject instanceof byte[]) { int offsetInByteArray = (int) (baseOffset - Platform.BYTE_ARRAY_OFFSET); out.write((byte[]) baseObject, offsetInByteArray, sizeInBytes); }
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Write this UnsafeRow's underlying bytes to the given OutputStream. @param out the stream to write to. @param writeBuffer a byte array for buffering chunks of off-heap data while writing to the output stream. If this row is backed by an on-heap byte array, then this buffer will not be used and may be null.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeRow.java#L506-L510
123,060
apache/spark
common/network-common/src/main/java/org/apache/spark/network/sasl/SaslClientBootstrap.java
SaslClientBootstrap.doBootstrap
@Override public void doBootstrap(TransportClient client, Channel channel) { SparkSaslClient saslClient = new SparkSaslClient(appId, secretKeyHolder, conf.saslEncryption()); try { byte[] payload = saslClient.firstToken(); while (!saslClient.isComplete()) { SaslMessage msg = new SaslMessag...
java
@Override public void doBootstrap(TransportClient client, Channel channel) { SparkSaslClient saslClient = new SparkSaslClient(appId, secretKeyHolder, conf.saslEncryption()); try { byte[] payload = saslClient.firstToken(); while (!saslClient.isComplete()) { SaslMessage msg = new SaslMessag...
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Performs SASL authentication by sending a token, and then proceeding with the SASL challenge-response tokens until we either successfully authenticate or throw an exception due to mismatch.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/sasl/SaslClientBootstrap.java#L58-L98
123,061
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/thrift/ThriftCLIService.java
ThriftCLIService.getSessionHandle
SessionHandle getSessionHandle(TOpenSessionReq req, TOpenSessionResp res) throws HiveSQLException, LoginException, IOException { String userName = getUserName(req); String ipAddress = getIpAddress(); TProtocolVersion protocol = getMinVersion(CLIService.SERVER_VERSION, req.getClient_protocol())...
java
SessionHandle getSessionHandle(TOpenSessionReq req, TOpenSessionResp res) throws HiveSQLException, LoginException, IOException { String userName = getUserName(req); String ipAddress = getIpAddress(); TProtocolVersion protocol = getMinVersion(CLIService.SERVER_VERSION, req.getClient_protocol())...
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Create a session handle @param req @param res @return @throws HiveSQLException @throws LoginException @throws IOException
[ "Create", "a", "session", "handle" ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/thrift/ThriftCLIService.java#L341-L359
123,062
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/thrift/ThriftCLIService.java
ThriftCLIService.getProxyUser
private String getProxyUser(String realUser, Map<String, String> sessionConf, String ipAddress) throws HiveSQLException { String proxyUser = null; // Http transport mode. // We set the thread local proxy username, in ThriftHttpServlet. if (cliService.getHiveConf().getVar( ConfVars.HIVE_SER...
java
private String getProxyUser(String realUser, Map<String, String> sessionConf, String ipAddress) throws HiveSQLException { String proxyUser = null; // Http transport mode. // We set the thread local proxy username, in ThriftHttpServlet. if (cliService.getHiveConf().getVar( ConfVars.HIVE_SER...
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If the proxy user name is provided then check privileges to substitute the user. @param realUser @param sessionConf @param ipAddress @return @throws HiveSQLException
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/thrift/ThriftCLIService.java#L647-L683
123,063
apache/spark
sql/catalyst/src/main/java/org/apache/spark/sql/util/CaseInsensitiveStringMap.java
CaseInsensitiveStringMap.getBoolean
public boolean getBoolean(String key, boolean defaultValue) { String value = get(key); // We can't use `Boolean.parseBoolean` here, as it returns false for invalid strings. if (value == null) { return defaultValue; } else if (value.equalsIgnoreCase("true")) { return true; } else if (valu...
java
public boolean getBoolean(String key, boolean defaultValue) { String value = get(key); // We can't use `Boolean.parseBoolean` here, as it returns false for invalid strings. if (value == null) { return defaultValue; } else if (value.equalsIgnoreCase("true")) { return true; } else if (valu...
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Returns the boolean value to which the specified key is mapped, or defaultValue if there is no mapping for the key. The key match is case-insensitive.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/catalyst/src/main/java/org/apache/spark/sql/util/CaseInsensitiveStringMap.java#L134-L146
123,064
apache/spark
sql/catalyst/src/main/java/org/apache/spark/sql/util/CaseInsensitiveStringMap.java
CaseInsensitiveStringMap.getDouble
public double getDouble(String key, double defaultValue) { String value = get(key); return value == null ? defaultValue : Double.parseDouble(value); }
java
public double getDouble(String key, double defaultValue) { String value = get(key); return value == null ? defaultValue : Double.parseDouble(value); }
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Returns the double value to which the specified key is mapped, or defaultValue if there is no mapping for the key. The key match is case-insensitive.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/catalyst/src/main/java/org/apache/spark/sql/util/CaseInsensitiveStringMap.java#L170-L173
123,065
apache/spark
common/sketch/src/main/java/org/apache/spark/util/sketch/BitArray.java
BitArray.set
boolean set(long index) { if (!get(index)) { data[(int) (index >>> 6)] |= (1L << index); bitCount++; return true; } return false; }
java
boolean set(long index) { if (!get(index)) { data[(int) (index >>> 6)] |= (1L << index); bitCount++; return true; } return false; }
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Returns true if the bit changed value.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/sketch/src/main/java/org/apache/spark/util/sketch/BitArray.java#L54-L61
123,066
apache/spark
common/sketch/src/main/java/org/apache/spark/util/sketch/BitArray.java
BitArray.putAll
void putAll(BitArray array) { assert data.length == array.data.length : "BitArrays must be of equal length when merging"; long bitCount = 0; for (int i = 0; i < data.length; i++) { data[i] |= array.data[i]; bitCount += Long.bitCount(data[i]); } this.bitCount = bitCount; }
java
void putAll(BitArray array) { assert data.length == array.data.length : "BitArrays must be of equal length when merging"; long bitCount = 0; for (int i = 0; i < data.length; i++) { data[i] |= array.data[i]; bitCount += Long.bitCount(data[i]); } this.bitCount = bitCount; }
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Combines the two BitArrays using bitwise OR.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/sketch/src/main/java/org/apache/spark/util/sketch/BitArray.java#L78-L86
123,067
apache/spark
common/network-common/src/main/java/org/apache/spark/network/sasl/SaslServerBootstrap.java
SaslServerBootstrap.doBootstrap
public RpcHandler doBootstrap(Channel channel, RpcHandler rpcHandler) { return new SaslRpcHandler(conf, channel, rpcHandler, secretKeyHolder); }
java
public RpcHandler doBootstrap(Channel channel, RpcHandler rpcHandler) { return new SaslRpcHandler(conf, channel, rpcHandler, secretKeyHolder); }
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Wrap the given application handler in a SaslRpcHandler that will handle the initial SASL negotiation.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/sasl/SaslServerBootstrap.java#L45-L47
123,068
apache/spark
common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/ShuffleIndexInformation.java
ShuffleIndexInformation.getIndex
public ShuffleIndexRecord getIndex(int reduceId) { long offset = offsets.get(reduceId); long nextOffset = offsets.get(reduceId + 1); return new ShuffleIndexRecord(offset, nextOffset - offset); }
java
public ShuffleIndexRecord getIndex(int reduceId) { long offset = offsets.get(reduceId); long nextOffset = offsets.get(reduceId + 1); return new ShuffleIndexRecord(offset, nextOffset - offset); }
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Get index offset for a particular reducer.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/ShuffleIndexInformation.java#L56-L60
123,069
apache/spark
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/codegen/UTF8StringBuilder.java
UTF8StringBuilder.grow
private void grow(int neededSize) { if (neededSize > ARRAY_MAX - totalSize()) { throw new UnsupportedOperationException( "Cannot grow internal buffer by size " + neededSize + " because the size after growing " + "exceeds size limitation " + ARRAY_MAX); } final int length = totalSize(...
java
private void grow(int neededSize) { if (neededSize > ARRAY_MAX - totalSize()) { throw new UnsupportedOperationException( "Cannot grow internal buffer by size " + neededSize + " because the size after growing " + "exceeds size limitation " + ARRAY_MAX); } final int length = totalSize(...
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Grows the buffer by at least `neededSize`
[ "Grows", "the", "buffer", "by", "at", "least", "neededSize" ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/codegen/UTF8StringBuilder.java#L41-L59
123,070
apache/spark
common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java
TransportConf.connectionTimeoutMs
public int connectionTimeoutMs() { long defaultNetworkTimeoutS = JavaUtils.timeStringAsSec( conf.get("spark.network.timeout", "120s")); long defaultTimeoutMs = JavaUtils.timeStringAsSec( conf.get(SPARK_NETWORK_IO_CONNECTIONTIMEOUT_KEY, defaultNetworkTimeoutS + "s")) * 1000; return (int) defaultT...
java
public int connectionTimeoutMs() { long defaultNetworkTimeoutS = JavaUtils.timeStringAsSec( conf.get("spark.network.timeout", "120s")); long defaultTimeoutMs = JavaUtils.timeStringAsSec( conf.get(SPARK_NETWORK_IO_CONNECTIONTIMEOUT_KEY, defaultNetworkTimeoutS + "s")) * 1000; return (int) defaultT...
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Connect timeout in milliseconds. Default 120 secs.
[ "Connect", "timeout", "in", "milliseconds", ".", "Default", "120", "secs", "." ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java#L98-L104
123,071
apache/spark
launcher/src/main/java/org/apache/spark/launcher/AbstractCommandBuilder.java
AbstractCommandBuilder.buildJavaCommand
List<String> buildJavaCommand(String extraClassPath) throws IOException { List<String> cmd = new ArrayList<>(); String[] candidateJavaHomes = new String[] { javaHome, childEnv.get("JAVA_HOME"), System.getenv("JAVA_HOME"), System.getProperty("java.home") }; for (String javaHome :...
java
List<String> buildJavaCommand(String extraClassPath) throws IOException { List<String> cmd = new ArrayList<>(); String[] candidateJavaHomes = new String[] { javaHome, childEnv.get("JAVA_HOME"), System.getenv("JAVA_HOME"), System.getProperty("java.home") }; for (String javaHome :...
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Builds a list of arguments to run java. This method finds the java executable to use and appends JVM-specific options for running a class with Spark in the classpath. It also loads options from the "java-opts" file in the configuration directory being used. Callers should still add at least the class to run, as well ...
[ "Builds", "a", "list", "of", "arguments", "to", "run", "java", "." ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/AbstractCommandBuilder.java#L92-L123
123,072
apache/spark
launcher/src/main/java/org/apache/spark/launcher/AbstractCommandBuilder.java
AbstractCommandBuilder.addToClassPath
private void addToClassPath(Set<String> cp, String entries) { if (isEmpty(entries)) { return; } String[] split = entries.split(Pattern.quote(File.pathSeparator)); for (String entry : split) { if (!isEmpty(entry)) { if (new File(entry).isDirectory() && !entry.endsWith(File.separator))...
java
private void addToClassPath(Set<String> cp, String entries) { if (isEmpty(entries)) { return; } String[] split = entries.split(Pattern.quote(File.pathSeparator)); for (String entry : split) { if (!isEmpty(entry)) { if (new File(entry).isDirectory() && !entry.endsWith(File.separator))...
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Adds entries to the classpath. @param cp List to which the new entries are appended. @param entries New classpath entries (separated by File.pathSeparator).
[ "Adds", "entries", "to", "the", "classpath", "." ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/AbstractCommandBuilder.java#L217-L230
123,073
apache/spark
launcher/src/main/java/org/apache/spark/launcher/AbstractCommandBuilder.java
AbstractCommandBuilder.loadPropertiesFile
private Properties loadPropertiesFile() throws IOException { Properties props = new Properties(); File propsFile; if (propertiesFile != null) { propsFile = new File(propertiesFile); checkArgument(propsFile.isFile(), "Invalid properties file '%s'.", propertiesFile); } else { propsFile =...
java
private Properties loadPropertiesFile() throws IOException { Properties props = new Properties(); File propsFile; if (propertiesFile != null) { propsFile = new File(propertiesFile); checkArgument(propsFile.isFile(), "Invalid properties file '%s'.", propertiesFile); } else { propsFile =...
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Loads the configuration file for the application, if it exists. This is either the user-specified properties file, or the spark-defaults.conf file under the Spark configuration directory.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/AbstractCommandBuilder.java#L291-L311
123,074
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReader.java
OrcColumnarBatchReader.initialize
@Override public void initialize( InputSplit inputSplit, TaskAttemptContext taskAttemptContext) throws IOException { FileSplit fileSplit = (FileSplit)inputSplit; Configuration conf = taskAttemptContext.getConfiguration(); Reader reader = OrcFile.createReader( fileSplit.getPath(), OrcFile...
java
@Override public void initialize( InputSplit inputSplit, TaskAttemptContext taskAttemptContext) throws IOException { FileSplit fileSplit = (FileSplit)inputSplit; Configuration conf = taskAttemptContext.getConfiguration(); Reader reader = OrcFile.createReader( fileSplit.getPath(), OrcFile...
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Initialize ORC file reader and batch record reader. Please note that `initBatch` is needed to be called after this.
[ "Initialize", "ORC", "file", "reader", "and", "batch", "record", "reader", ".", "Please", "note", "that", "initBatch", "is", "needed", "to", "be", "called", "after", "this", "." ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReader.java#L118-L131
123,075
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReader.java
OrcColumnarBatchReader.initBatch
public void initBatch( TypeDescription orcSchema, StructField[] requiredFields, int[] requestedDataColIds, int[] requestedPartitionColIds, InternalRow partitionValues) { wrap = new VectorizedRowBatchWrap(orcSchema.createRowBatch(capacity)); assert(!wrap.batch().selectedInUse); // `...
java
public void initBatch( TypeDescription orcSchema, StructField[] requiredFields, int[] requestedDataColIds, int[] requestedPartitionColIds, InternalRow partitionValues) { wrap = new VectorizedRowBatchWrap(orcSchema.createRowBatch(capacity)); assert(!wrap.batch().selectedInUse); // `...
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Initialize columnar batch by setting required schema and partition information. With this information, this creates ColumnarBatch with the full schema. @param orcSchema Schema from ORC file reader. @param requiredFields All the fields that are required to return, including partition fields. @param requestedDataColIds ...
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReader.java#L143-L189
123,076
apache/spark
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReader.java
OrcColumnarBatchReader.nextBatch
private boolean nextBatch() throws IOException { recordReader.nextBatch(wrap.batch()); int batchSize = wrap.batch().size; if (batchSize == 0) { return false; } columnarBatch.setNumRows(batchSize); for (int i = 0; i < requiredFields.length; i++) { if (requestedDataColIds[i] != -1) { ...
java
private boolean nextBatch() throws IOException { recordReader.nextBatch(wrap.batch()); int batchSize = wrap.batch().size; if (batchSize == 0) { return false; } columnarBatch.setNumRows(batchSize); for (int i = 0; i < requiredFields.length; i++) { if (requestedDataColIds[i] != -1) { ...
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Return true if there exists more data in the next batch. If exists, prepare the next batch by copying from ORC VectorizedRowBatch columns to Spark ColumnarBatch columns.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnarBatchReader.java#L195-L209
123,077
apache/spark
common/unsafe/src/main/java/org/apache/spark/unsafe/types/CalendarInterval.java
CalendarInterval.parseSecondNano
public static long parseSecondNano(String secondNano) throws IllegalArgumentException { String[] parts = secondNano.split("\\."); if (parts.length == 1) { return toLongWithRange("second", parts[0], Long.MIN_VALUE / MICROS_PER_SECOND, Long.MAX_VALUE / MICROS_PER_SECOND) * MICROS_PER_SECOND; } ...
java
public static long parseSecondNano(String secondNano) throws IllegalArgumentException { String[] parts = secondNano.split("\\."); if (parts.length == 1) { return toLongWithRange("second", parts[0], Long.MIN_VALUE / MICROS_PER_SECOND, Long.MAX_VALUE / MICROS_PER_SECOND) * MICROS_PER_SECOND; } ...
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Parse second_nano string in ss.nnnnnnnnn format to microseconds
[ "Parse", "second_nano", "string", "in", "ss", ".", "nnnnnnnnn", "format", "to", "microseconds" ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/unsafe/src/main/java/org/apache/spark/unsafe/types/CalendarInterval.java#L238-L254
123,078
apache/spark
common/network-common/src/main/java/org/apache/spark/network/crypto/TransportCipher.java
TransportCipher.addToChannel
public void addToChannel(Channel ch) throws IOException { ch.pipeline() .addFirst(ENCRYPTION_HANDLER_NAME, new EncryptionHandler(this)) .addFirst(DECRYPTION_HANDLER_NAME, new DecryptionHandler(this)); }
java
public void addToChannel(Channel ch) throws IOException { ch.pipeline() .addFirst(ENCRYPTION_HANDLER_NAME, new EncryptionHandler(this)) .addFirst(DECRYPTION_HANDLER_NAME, new DecryptionHandler(this)); }
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Add handlers to channel. @param ch the channel for adding handlers @throws IOException
[ "Add", "handlers", "to", "channel", "." ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/crypto/TransportCipher.java#L103-L107
123,079
apache/spark
common/network-common/src/main/java/org/apache/spark/network/client/TransportClientFactory.java
TransportClientFactory.close
@Override public void close() { // Go through all clients and close them if they are active. for (ClientPool clientPool : connectionPool.values()) { for (int i = 0; i < clientPool.clients.length; i++) { TransportClient client = clientPool.clients[i]; if (client != null) { clien...
java
@Override public void close() { // Go through all clients and close them if they are active. for (ClientPool clientPool : connectionPool.values()) { for (int i = 0; i < clientPool.clients.length; i++) { TransportClient client = clientPool.clients[i]; if (client != null) { clien...
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Close all connections in the connection pool, and shutdown the worker thread pool.
[ "Close", "all", "connections", "in", "the", "connection", "pool", "and", "shutdown", "the", "worker", "thread", "pool", "." ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/client/TransportClientFactory.java#L279-L297
123,080
apache/spark
common/network-common/src/main/java/org/apache/spark/network/util/ByteArrayWritableChannel.java
ByteArrayWritableChannel.write
@Override public int write(ByteBuffer src) { int toTransfer = Math.min(src.remaining(), data.length - offset); src.get(data, offset, toTransfer); offset += toTransfer; return toTransfer; }
java
@Override public int write(ByteBuffer src) { int toTransfer = Math.min(src.remaining(), data.length - offset); src.get(data, offset, toTransfer); offset += toTransfer; return toTransfer; }
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Reads from the given buffer into the internal byte array.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/util/ByteArrayWritableChannel.java#L51-L57
123,081
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImpl.java
HiveSessionImpl.setConf
private static void setConf(String varname, String key, String varvalue, boolean register) throws IllegalArgumentException { HiveConf conf = SessionState.get().getConf(); String value = new VariableSubstitution().substitute(conf, varvalue); if (conf.getBoolVar(HiveConf.ConfVars.HIVECONFVALIDATION)...
java
private static void setConf(String varname, String key, String varvalue, boolean register) throws IllegalArgumentException { HiveConf conf = SessionState.get().getConf(); String value = new VariableSubstitution().substitute(conf, varvalue); if (conf.getBoolVar(HiveConf.ConfVars.HIVECONFVALIDATION)...
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returns non-null string for validation fail
[ "returns", "non", "-", "null", "string", "for", "validation", "fail" ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImpl.java#L263-L292
123,082
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImpl.java
HiveSessionImpl.release
protected synchronized void release(boolean userAccess) { SessionState.detachSession(); if (ThreadWithGarbageCleanup.currentThread() instanceof ThreadWithGarbageCleanup) { ThreadWithGarbageCleanup currentThread = (ThreadWithGarbageCleanup) ThreadWithGarbageCleanup.currentThread(); currentT...
java
protected synchronized void release(boolean userAccess) { SessionState.detachSession(); if (ThreadWithGarbageCleanup.currentThread() instanceof ThreadWithGarbageCleanup) { ThreadWithGarbageCleanup currentThread = (ThreadWithGarbageCleanup) ThreadWithGarbageCleanup.currentThread(); currentT...
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1. We'll remove the ThreadLocal SessionState as this thread might now serve other requests. 2. We'll cache the ThreadLocal RawStore object for this background thread for an orderly cleanup when this thread is garbage collected later. @see org.apache.hive.service.server.ThreadWithGarbageCleanup#finalize()
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImpl.java#L372-L387
123,083
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImpl.java
HiveSessionImpl.getUserFromToken
private String getUserFromToken(HiveAuthFactory authFactory, String tokenStr) throws HiveSQLException { return authFactory.getUserFromToken(tokenStr); }
java
private String getUserFromToken(HiveAuthFactory authFactory, String tokenStr) throws HiveSQLException { return authFactory.getUserFromToken(tokenStr); }
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extract the real user from the given token string
[ "extract", "the", "real", "user", "from", "the", "given", "token", "string" ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImpl.java#L831-L833
123,084
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java
HiveSessionImplwithUGI.setSessionUGI
public void setSessionUGI(String owner) throws HiveSQLException { if (owner == null) { throw new HiveSQLException("No username provided for impersonation"); } if (UserGroupInformation.isSecurityEnabled()) { try { sessionUgi = UserGroupInformation.createProxyUser( owner, UserG...
java
public void setSessionUGI(String owner) throws HiveSQLException { if (owner == null) { throw new HiveSQLException("No username provided for impersonation"); } if (UserGroupInformation.isSecurityEnabled()) { try { sessionUgi = UserGroupInformation.createProxyUser( owner, UserG...
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setup appropriate UGI for the session
[ "setup", "appropriate", "UGI", "for", "the", "session" ]
25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java#L65-L79
123,085
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java
HiveSessionImplwithUGI.close
@Override public void close() throws HiveSQLException { try { acquire(true); cancelDelegationToken(); } finally { try { super.close(); } finally { try { FileSystem.closeAllForUGI(sessionUgi); } catch (IOException ioe) { throw new HiveSQLExcep...
java
@Override public void close() throws HiveSQLException { try { acquire(true); cancelDelegationToken(); } finally { try { super.close(); } finally { try { FileSystem.closeAllForUGI(sessionUgi); } catch (IOException ioe) { throw new HiveSQLExcep...
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Close the file systems for the session and remove it from the FileSystem cache. Cancel the session's delegation token and close the metastore connection
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java#L102-L119
123,086
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java
HiveSessionImplwithUGI.setDelegationToken
private void setDelegationToken(String delegationTokenStr) throws HiveSQLException { this.delegationTokenStr = delegationTokenStr; if (delegationTokenStr != null) { getHiveConf().set("hive.metastore.token.signature", HS2TOKEN); try { Utils.setTokenStr(sessionUgi, delegationTokenStr, HS2TOKEN...
java
private void setDelegationToken(String delegationTokenStr) throws HiveSQLException { this.delegationTokenStr = delegationTokenStr; if (delegationTokenStr != null) { getHiveConf().set("hive.metastore.token.signature", HS2TOKEN); try { Utils.setTokenStr(sessionUgi, delegationTokenStr, HS2TOKEN...
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Enable delegation token for the session save the token string and set the token.signature in hive conf. The metastore client uses this token.signature to determine where to use kerberos or delegation token @throws HiveException @throws IOException
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java#L128-L138
123,087
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java
HiveSessionImplwithUGI.cancelDelegationToken
private void cancelDelegationToken() throws HiveSQLException { if (delegationTokenStr != null) { try { Hive.get(getHiveConf()).cancelDelegationToken(delegationTokenStr); } catch (HiveException e) { throw new HiveSQLException("Couldn't cancel delegation token", e); } // close ...
java
private void cancelDelegationToken() throws HiveSQLException { if (delegationTokenStr != null) { try { Hive.get(getHiveConf()).cancelDelegationToken(delegationTokenStr); } catch (HiveException e) { throw new HiveSQLException("Couldn't cancel delegation token", e); } // close ...
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If the session has a delegation token obtained from the metastore, then cancel it
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImplwithUGI.java#L141-L151
123,088
apache/spark
core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java
TaskMemoryManager.releaseExecutionMemory
public void releaseExecutionMemory(long size, MemoryConsumer consumer) { logger.debug("Task {} release {} from {}", taskAttemptId, Utils.bytesToString(size), consumer); memoryManager.releaseExecutionMemory(size, taskAttemptId, consumer.getMode()); }
java
public void releaseExecutionMemory(long size, MemoryConsumer consumer) { logger.debug("Task {} release {} from {}", taskAttemptId, Utils.bytesToString(size), consumer); memoryManager.releaseExecutionMemory(size, taskAttemptId, consumer.getMode()); }
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Release N bytes of execution memory for a MemoryConsumer.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java#L236-L239
123,089
apache/spark
core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java
TaskMemoryManager.showMemoryUsage
public void showMemoryUsage() { logger.info("Memory used in task " + taskAttemptId); synchronized (this) { long memoryAccountedForByConsumers = 0; for (MemoryConsumer c: consumers) { long totalMemUsage = c.getUsed(); memoryAccountedForByConsumers += totalMemUsage; if (totalMe...
java
public void showMemoryUsage() { logger.info("Memory used in task " + taskAttemptId); synchronized (this) { long memoryAccountedForByConsumers = 0; for (MemoryConsumer c: consumers) { long totalMemUsage = c.getUsed(); memoryAccountedForByConsumers += totalMemUsage; if (totalMe...
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Dump the memory usage of all consumers.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java#L244-L264
123,090
apache/spark
core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java
TaskMemoryManager.allocatePage
public MemoryBlock allocatePage(long size, MemoryConsumer consumer) { assert(consumer != null); assert(consumer.getMode() == tungstenMemoryMode); if (size > MAXIMUM_PAGE_SIZE_BYTES) { throw new TooLargePageException(size); } long acquired = acquireExecutionMemory(size, consumer); if (acqu...
java
public MemoryBlock allocatePage(long size, MemoryConsumer consumer) { assert(consumer != null); assert(consumer.getMode() == tungstenMemoryMode); if (size > MAXIMUM_PAGE_SIZE_BYTES) { throw new TooLargePageException(size); } long acquired = acquireExecutionMemory(size, consumer); if (acqu...
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Allocate a block of memory that will be tracked in the MemoryManager's page table; this is intended for allocating large blocks of Tungsten memory that will be shared between operators. Returns `null` if there was not enough memory to allocate the page. May return a page that contains fewer bytes than requested, so ca...
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java#L282-L324
123,091
apache/spark
core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java
TaskMemoryManager.encodePageNumberAndOffset
public long encodePageNumberAndOffset(MemoryBlock page, long offsetInPage) { if (tungstenMemoryMode == MemoryMode.OFF_HEAP) { // In off-heap mode, an offset is an absolute address that may require a full 64 bits to // encode. Due to our page size limitation, though, we can convert this into an offset th...
java
public long encodePageNumberAndOffset(MemoryBlock page, long offsetInPage) { if (tungstenMemoryMode == MemoryMode.OFF_HEAP) { // In off-heap mode, an offset is an absolute address that may require a full 64 bits to // encode. Due to our page size limitation, though, we can convert this into an offset th...
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Given a memory page and offset within that page, encode this address into a 64-bit long. This address will remain valid as long as the corresponding page has not been freed. @param page a data page allocated by {@link TaskMemoryManager#allocatePage}/ @param offsetInPage an offset in this page which incorporates the ba...
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java#L363-L371
123,092
apache/spark
core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java
TaskMemoryManager.cleanUpAllAllocatedMemory
public long cleanUpAllAllocatedMemory() { synchronized (this) { for (MemoryConsumer c: consumers) { if (c != null && c.getUsed() > 0) { // In case of failed task, it's normal to see leaked memory logger.debug("unreleased " + Utils.bytesToString(c.getUsed()) + " memory from " + c); ...
java
public long cleanUpAllAllocatedMemory() { synchronized (this) { for (MemoryConsumer c: consumers) { if (c != null && c.getUsed() > 0) { // In case of failed task, it's normal to see leaked memory logger.debug("unreleased " + Utils.bytesToString(c.getUsed()) + " memory from " + c); ...
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Clean up all allocated memory and pages. Returns the number of bytes freed. A non-zero return value can be used to detect memory leaks.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/memory/TaskMemoryManager.java#L428-L452
123,093
apache/spark
common/network-common/src/main/java/org/apache/spark/network/sasl/SparkSaslServer.java
SparkSaslServer.response
public synchronized byte[] response(byte[] token) { try { return saslServer != null ? saslServer.evaluateResponse(token) : new byte[0]; } catch (SaslException e) { throw Throwables.propagate(e); } }
java
public synchronized byte[] response(byte[] token) { try { return saslServer != null ? saslServer.evaluateResponse(token) : new byte[0]; } catch (SaslException e) { throw Throwables.propagate(e); } }
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Used to respond to server SASL tokens. @param token Server's SASL token @return response to send back to the server.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/sasl/SparkSaslServer.java#L117-L123
123,094
apache/spark
common/network-common/src/main/java/org/apache/spark/network/sasl/SparkSaslServer.java
SparkSaslServer.dispose
@Override public synchronized void dispose() { if (saslServer != null) { try { saslServer.dispose(); } catch (SaslException e) { // ignore } finally { saslServer = null; } } }
java
@Override public synchronized void dispose() { if (saslServer != null) { try { saslServer.dispose(); } catch (SaslException e) { // ignore } finally { saslServer = null; } } }
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Disposes of any system resources or security-sensitive information the SaslServer might be using.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/sasl/SparkSaslServer.java#L129-L140
123,095
apache/spark
common/network-common/src/main/java/org/apache/spark/network/sasl/SparkSaslServer.java
SparkSaslServer.getBase64EncodedString
private static String getBase64EncodedString(String str) { ByteBuf byteBuf = null; ByteBuf encodedByteBuf = null; try { byteBuf = Unpooled.wrappedBuffer(str.getBytes(StandardCharsets.UTF_8)); encodedByteBuf = Base64.encode(byteBuf); return encodedByteBuf.toString(StandardCharsets.UTF_8); ...
java
private static String getBase64EncodedString(String str) { ByteBuf byteBuf = null; ByteBuf encodedByteBuf = null; try { byteBuf = Unpooled.wrappedBuffer(str.getBytes(StandardCharsets.UTF_8)); encodedByteBuf = Base64.encode(byteBuf); return encodedByteBuf.toString(StandardCharsets.UTF_8); ...
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Return a Base64-encoded string.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/common/network-common/src/main/java/org/apache/spark/network/sasl/SparkSaslServer.java#L200-L216
123,096
apache/spark
core/src/main/java/org/apache/spark/shuffle/sort/PackedRecordPointer.java
PackedRecordPointer.packPointer
public static long packPointer(long recordPointer, int partitionId) { assert (partitionId <= MAXIMUM_PARTITION_ID); // Note that without word alignment we can address 2^27 bytes = 128 megabytes per page. // Also note that this relies on some internals of how TaskMemoryManager encodes its addresses. fina...
java
public static long packPointer(long recordPointer, int partitionId) { assert (partitionId <= MAXIMUM_PARTITION_ID); // Note that without word alignment we can address 2^27 bytes = 128 megabytes per page. // Also note that this relies on some internals of how TaskMemoryManager encodes its addresses. fina...
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Pack a record address and partition id into a single word. @param recordPointer a record pointer encoded by TaskMemoryManager. @param partitionId a shuffle partition id (maximum value of 2^24). @return a packed pointer that can be decoded using the {@link PackedRecordPointer} class.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/core/src/main/java/org/apache/spark/shuffle/sort/PackedRecordPointer.java#L77-L84
123,097
apache/spark
launcher/src/main/java/org/apache/spark/launcher/AbstractAppHandle.java
AbstractAppHandle.dispose
synchronized void dispose() { if (!isDisposed()) { // First wait for all data from the connection to be read. Then unregister the handle. // Otherwise, unregistering might cause the server to be stopped and all child connections // to be closed. if (connection != null) { try { ...
java
synchronized void dispose() { if (!isDisposed()) { // First wait for all data from the connection to be read. Then unregister the handle. // Otherwise, unregistering might cause the server to be stopped and all child connections // to be closed. if (connection != null) { try { ...
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Mark the handle as disposed, and set it as LOST in case the current state is not final. This method should be called only when there's a reasonable expectation that the communication with the child application is not needed anymore, either because the code managing the handle has said so, or because the child applicat...
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/launcher/src/main/java/org/apache/spark/launcher/AbstractAppHandle.java#L103-L121
123,098
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/CLIService.java
CLIService.getDelegationTokenFromMetaStore
public synchronized String getDelegationTokenFromMetaStore(String owner) throws HiveSQLException, UnsupportedOperationException, LoginException, IOException { if (!hiveConf.getBoolVar(HiveConf.ConfVars.METASTORE_USE_THRIFT_SASL) || !hiveConf.getBoolVar(HiveConf.ConfVars.HIVE_SERVER2_ENABLE_DOAS)) { ...
java
public synchronized String getDelegationTokenFromMetaStore(String owner) throws HiveSQLException, UnsupportedOperationException, LoginException, IOException { if (!hiveConf.getBoolVar(HiveConf.ConfVars.METASTORE_USE_THRIFT_SASL) || !hiveConf.getBoolVar(HiveConf.ConfVars.HIVE_SERVER2_ENABLE_DOAS)) { ...
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obtain delegation token for the give user from metastore
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/CLIService.java#L461-L479
123,099
apache/spark
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/TypeDescriptor.java
TypeDescriptor.getDecimalDigits
public Integer getDecimalDigits() { switch (this.type) { case BOOLEAN_TYPE: case TINYINT_TYPE: case SMALLINT_TYPE: case INT_TYPE: case BIGINT_TYPE: return 0; case FLOAT_TYPE: return 7; case DOUBLE_TYPE: return 15; case DECIMAL_TYPE: return typeQualifiers.getSc...
java
public Integer getDecimalDigits() { switch (this.type) { case BOOLEAN_TYPE: case TINYINT_TYPE: case SMALLINT_TYPE: case INT_TYPE: case BIGINT_TYPE: return 0; case FLOAT_TYPE: return 7; case DOUBLE_TYPE: return 15; case DECIMAL_TYPE: return typeQualifiers.getSc...
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The number of fractional digits for this type. Null is returned for data types where this is not applicable.
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25ee0474f47d9c30d6f553a7892d9549f91071cf
https://github.com/apache/spark/blob/25ee0474f47d9c30d6f553a7892d9549f91071cf/sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/TypeDescriptor.java#L139-L158