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b2d9901fb88703667c59aed73193196947be521d
impala/common/thrift/generate_error_codes.py
Tim Armstrong b2d9901fb8 IMPALA-9176: shared null-aware anti-join build 
This switches null-aware anti-join (NAAJ) to use shared
join builds with mt_dop > 0. To support this, we
make all access to the join build data structures
from the probe read-only. NAAJ requires iterating
over rows from build partitions at various steps
in the algorithm and before this patch this was not
thread-safe. We avoided that problem by having a
separate builder for each join node and duplicating
the data.

The main challenge was iteration over
null_aware_partition()->build_rows() from the probe
side, because it uses an embedded iterator in the
stream so was not thread-safe (since each thread
would be trying to use the same iterator).

The solution is to extend BufferedTupleStream to
allow multiple read iterators into a pinned,
read-only, stream. Each probe thread can then
iterate over the stream independently with no
thread safety issues.

With BufferedTupleStream changes, I partially abstracted
ReadIterator more from the rest of BufferedTupleStream,
but decided not to completely refactor so that this patchset
didn't cause excessive churn. I.e. much BufferedTupleStream
code still accesses internal fields of ReadIterator.

Fix a pre-existing bug in grouping-aggregator where
Spill() hit a DCHECK because the hash table was
destroyed unnecessarily when it hit an OOM. This was
flushed out by the parameter change in test_spilling.

Testing:
Add test to buffered-tuple-stream-test for multiple readers
to BTS.

Tweaked test_spilling_naaj_no_deny_reservation to have
a smaller minimum reservation, required to keep the
test passing with the new, lower, memory requirement.

Updated a TPC-H planner test where resource requirements
slightly decreased for the NAAJ.

Ran the naaj tests in test_spilling.py with TSAN enabled,
confirmed no data races.

Ran exhaustive tests, which passed after fixing IMPALA-9611.

Ran core tests with ASAN.

Ran backend tests with TSAN.

Perf:
I ran this query that exercises EvaluateNullProbe() heavily.

  select l_orderkey, l_partkey, l_suppkey, l_linenumber
  from tpch30_parquet.lineitem
  where l_suppkey = 4162 and l_shipmode = 'AIR'
        and l_returnflag = 'A' and l_shipdate > '1993-01-01'
        and if(l_orderkey > 5500000, NULL, l_orderkey) not in (
          select if(o_orderkey % 2 = 0, NULL, o_orderkey + 1)
          from orders
          where l_orderkey = o_orderkey)
  order by 1,2,3,4;

It went from ~13s to ~11s running on a single impalad with
this change, because of the inlining of CreateOutputRow() and
EvalConjuncts().

I also ran TPC-H SF 30 on Parquet with mt_dop=4, and there was
no change in performance.

Change-Id: I95ead761430b0aa59a4fb2e7848e47d1bf73c1c9
Reviewed-on: http://gerrit.cloudera.org:8080/15612
Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
2020-04-24 20:56:58 +00:00

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#!/usr/bin/env python
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
# For readability purposes we define the error codes and messages at the top of the
# file. New codes and messages must be added here. Old error messages MUST NEVER BE
# DELETED, but can be renamed. The tuple layout for a new entry is: error code enum name,
# numeric error code, format string of the message.
#
# TODO Add support for SQL Error Codes
# https://msdn.microsoft.com/en-us/library/ms714687%28v=vs.85%29.aspx
error_codes = (
("OK", 0, ""),
("UNUSED", 1, "<UNUSED>"),
("GENERAL", 2, "$0"),
("CANCELLED", 3, "Cancelled"),
("ANALYSIS_ERROR", 4, "$0"),
("NOT_IMPLEMENTED_ERROR", 5, "$0"),
("RUNTIME_ERROR", 6, "$0"),
("MEM_LIMIT_EXCEEDED", 7, "$0"),
("INTERNAL_ERROR", 8, "$0"),
("RECOVERABLE_ERROR", 9, "$0"),
("PARQUET_MULTIPLE_BLOCKS", 10,
"Parquet files should not be split into multiple hdfs-blocks. file=$0"),
("PARQUET_COLUMN_METADATA_INVALID", 11,
"Column metadata states there are $0 values, but read $1 values from column $2. "
"file=$3"),
("PARQUET_HEADER_PAGE_SIZE_EXCEEDED", 12, "(unused)"),
("PARQUET_HEADER_EOF", 13,
"ParquetScanner: reached EOF while deserializing data page header. file=$0"),
("PARQUET_GROUP_ROW_COUNT_ERROR", 14,
"Metadata states that in group $0($1) there are $2 rows, but $3 rows were read."),
("PARQUET_GROUP_ROW_COUNT_OVERFLOW", 15, "(unused)"),
("PARQUET_MISSING_PRECISION", 16,
"File '$0' column '$1' does not have the decimal precision set."),
("PARQUET_WRONG_PRECISION", 17,
"File '$0' column '$1' has a precision that does not match the table metadata "
" precision. File metadata precision: $2, table metadata precision: $3."),
("PARQUET_BAD_CONVERTED_TYPE", 18,
"File '$0' column '$1' does not have converted type set to DECIMAL"),
("PARQUET_INCOMPATIBLE_DECIMAL", 19,
"File '$0' column '$1' contains decimal data but the table metadata has type $2"),
("SEQUENCE_SCANNER_PARSE_ERROR", 20,
"Problem parsing file $0 at $1$2"),
("SNAPPY_DECOMPRESS_INVALID_BLOCK_SIZE", 21,
"Decompressor: block size is too big. Data is likely corrupt. Size: $0"),
("SNAPPY_DECOMPRESS_INVALID_COMPRESSED_LENGTH", 22,
"Decompressor: invalid compressed length. Data is likely corrupt."),
("SNAPPY_DECOMPRESS_UNCOMPRESSED_LENGTH_FAILED", 23,
"Snappy: GetUncompressedLength failed"),
("SNAPPY_DECOMPRESS_RAW_UNCOMPRESS_FAILED", 24,
"SnappyBlock: RawUncompress failed"),
("SNAPPY_DECOMPRESS_DECOMPRESS_SIZE_INCORRECT", 25,
"Snappy: Decompressed size is not correct."),
("FRAGMENT_EXECUTOR", 26, "Reserved resource size ($0) is larger than "
"query mem limit ($1), and will be restricted to $1. Configure the reservation "
"size by setting RM_INITIAL_MEM."),
("PARTITIONED_HASH_JOIN_MAX_PARTITION_DEPTH", 27,
"Cannot perform join at hash join node with id $0."
" The input data was partitioned the maximum number of $1 times."
" This could mean there is significant skew in the data or the memory limit is"
" set too low."),
("PARTITIONED_AGG_MAX_PARTITION_DEPTH", 28,
"Cannot perform aggregation at hash aggregation node with id $0."
" The input data was partitioned the maximum number of $1 times."
" This could mean there is significant skew in the data or the memory limit is"
" set too low."),
("MISSING_BUILTIN", 29, "Builtin '$0' with symbol '$1' does not exist. "
"Verify that all your impalads are the same version."),
("RPC_GENERAL_ERROR", 30, "RPC Error: $0"),
("RPC_RECV_TIMEOUT", 31, "RPC recv timed out: dest address: $0, rpc: $1"),
("UDF_VERIFY_FAILED", 32,
"Failed to verify function $0 from LLVM module $1, see log for more details."),
("PARQUET_CORRUPT_RLE_BYTES", 33, "File $0 corrupt. RLE level data bytes = $1"),
("AVRO_DECIMAL_RESOLUTION_ERROR", 34, "Column '$0' has conflicting Avro decimal types. "
"Table schema $1: $2, file schema $1: $3"),
("AVRO_DECIMAL_METADATA_MISMATCH", 35, "Column '$0' has conflicting Avro decimal types. "
"Declared $1: $2, $1 in table's Avro schema: $3"),
("AVRO_SCHEMA_RESOLUTION_ERROR", 36, "Unresolvable types for column '$0': "
"table type: $1, file type: $2"),
("AVRO_SCHEMA_METADATA_MISMATCH", 37, "Unresolvable types for column '$0': "
"declared column type: $1, table's Avro schema type: $2"),
("AVRO_UNSUPPORTED_DEFAULT_VALUE", 38, "Field $0 is missing from file and default "
"values of type $1 are not yet supported."),
("AVRO_MISSING_FIELD", 39, "Inconsistent table metadata. Mismatch between column "
"definition and Avro schema: cannot read field $0 because there are only $1 fields."),
("AVRO_MISSING_DEFAULT", 40,
"Field $0 is missing from file and does not have a default value."),
("AVRO_NULLABILITY_MISMATCH", 41,
"Field $0 is nullable in the file schema but not the table schema."),
("AVRO_NOT_A_RECORD", 42,
"Inconsistent table metadata. Field $0 is not a record in the Avro schema."),
("PARQUET_DEF_LEVEL_ERROR", 43, "Could not read definition level, even though metadata"
" states there are $0 values remaining in data page. file=$1"),
("PARQUET_NUM_COL_VALS_ERROR", 44, "Mismatched number of values in column index $0 "
"($1 vs. $2). file=$3"),
("PARQUET_DICT_DECODE_FAILURE", 45, "File '$0' is corrupt: error decoding "
"dictionary-encoded value of type $1 at offset $2"),
("SSL_PASSWORD_CMD_FAILED", 46,
"SSL private-key password command ('$0') failed with error: $1"),
("SSL_CERTIFICATE_PATH_BLANK", 47, "The SSL certificate path is blank"),
("SSL_PRIVATE_KEY_PATH_BLANK", 48, "The SSL private key path is blank"),
("SSL_CERTIFICATE_NOT_FOUND", 49, "The SSL certificate file does not exist at path $0"),
("SSL_PRIVATE_KEY_NOT_FOUND", 50, "The SSL private key file does not exist at path $0"),
("SSL_SOCKET_CREATION_FAILED", 51, "SSL socket creation failed: $0"),
("MEM_ALLOC_FAILED", 52, "Memory allocation of $0 bytes failed"),
("PARQUET_REP_LEVEL_ERROR", 53, "Could not read repetition level, even though metadata"
" states there are $0 values remaining in data page. file=$1"),
("PARQUET_UNRECOGNIZED_SCHEMA", 54, "File '$0' has an incompatible Parquet schema for "
"column '$1'. Column type: $2, Parquet schema:\\n$3"),
("COLLECTION_ALLOC_FAILED", 55, "Failed to allocate $0 bytes for collection '$1'.\\n"
"Current buffer size: $2 num tuples: $3."),
("TMP_DEVICE_BLACKLISTED", 56,
"Temporary device for directory $0 is blacklisted from a previous error and cannot "
"be used."),
("TMP_FILE_BLACKLISTED", 57,
"Temporary file $0 is blacklisted from a previous error and cannot be expanded."),
("RPC_CLIENT_CONNECT_FAILURE", 58,
"RPC client failed to connect: $0"),
("STALE_METADATA_FILE_TOO_SHORT", 59, "Metadata for file '$0' appears stale. "
"Try running \\\"refresh $1\\\" to reload the file metadata."),
("PARQUET_BAD_VERSION_NUMBER", 60, "File '$0' has an invalid Parquet version number: "
"$1\\n. Please check that it is a valid Parquet file. "
"This error can also occur due to stale metadata. "
"If you believe this is a valid Parquet file, try running \\\"refresh $2\\\"."),
("SCANNER_INCOMPLETE_READ", 61, "Tried to read $0 bytes but could only read $1 bytes. "
"This may indicate data file corruption. (file $2, byte offset: $3)"),
("SCANNER_INVALID_READ", 62, "Invalid read of $0 bytes. This may indicate data file "
"corruption. (file $1, byte offset: $2)"),
("AVRO_BAD_VERSION_HEADER", 63, "File '$0' has an invalid version header: $1\\n"
"Make sure the file is an Avro data file."),
("UDF_MEM_LIMIT_EXCEEDED", 64, "$0's allocations exceeded memory limits."),
("UNUSED_65", 65, "No longer in use."),
("COMPRESSED_FILE_MULTIPLE_BLOCKS", 66,
"For better performance, snappy-, gzip-, and bzip-compressed files "
"should not be split into multiple HDFS blocks. file=$0 offset $1"),
("COMPRESSED_FILE_BLOCK_CORRUPTED", 67,
"$0 Data error, likely data corrupted in this block."),
("COMPRESSED_FILE_DECOMPRESSOR_ERROR", 68, "$0 Decompressor error at $1, code=$2"),
("COMPRESSED_FILE_DECOMPRESSOR_NO_PROGRESS", 69,
"Decompression failed to make progress, but end of input is not reached. "
"File appears corrupted. file=$0"),
("COMPRESSED_FILE_TRUNCATED", 70,
"Unexpected end of compressed file. File may be truncated. file=$0"),
("DATASTREAM_SENDER_TIMEOUT", 71, "Sender$0 timed out waiting for receiver fragment "
"instance: $1, dest node: $2"),
("KUDU_IMPALA_TYPE_MISSING", 72, "Kudu type $0 is not available in Impala."),
("IMPALA_KUDU_TYPE_MISSING", 73, "Impala type $0 is not available in Kudu."),
("KUDU_NOT_SUPPORTED_ON_OS", 74, "Kudu is not supported on this operating system."),
("KUDU_NOT_ENABLED", 75, "Kudu features are disabled by the startup flag "
"--disable_kudu."),
("PARTITIONED_HASH_JOIN_REPARTITION_FAILS", 76, "Cannot perform hash join at node with "
"id $0. Repartitioning did not reduce the size of a spilled partition. Repartitioning "
"level $1. Number of rows $2:\\n$3\\n$4"),
("UNUSED_77", 77, "Not in use."),
("AVRO_TRUNCATED_BLOCK", 78, "File '$0' is corrupt: truncated data block at offset $1"),
("AVRO_INVALID_UNION", 79, "File '$0' is corrupt: invalid union value $1 at offset $2"),
("AVRO_INVALID_BOOLEAN", 80, "File '$0' is corrupt: invalid boolean value $1 at offset "
"$2"),
("AVRO_INVALID_LENGTH", 81, "File '$0' is corrupt: invalid length $1 at offset $2"),
("SCANNER_INVALID_INT", 82, "File '$0' is corrupt: invalid encoded integer at offset $1"),
("AVRO_INVALID_RECORD_COUNT", 83, "File '$0' is corrupt: invalid record count $1 at "
"offset $2"),
("AVRO_INVALID_COMPRESSED_SIZE", 84, "File '$0' is corrupt: invalid compressed block "
"size $1 at offset $2"),
("AVRO_INVALID_METADATA_COUNT", 85, "File '$0' is corrupt: invalid metadata count $1 "
"at offset $2"),
("SCANNER_STRING_LENGTH_OVERFLOW", 86, "File '$0' could not be read: string $1 was "
"longer than supported limit of $2 bytes at offset $3"),
("PARQUET_CORRUPT_PLAIN_VALUE", 87, "File '$0' is corrupt: error decoding value of type "
"$1 at offset $2"),
("PARQUET_CORRUPT_DICTIONARY", 88, "File '$0' is corrupt: error reading dictionary for "
"data of type $1: $2"),
("TEXT_PARSER_TRUNCATED_COLUMN", 89, "Length of column is $0 which exceeds maximum "
"supported length of 2147483647 bytes."),
("SCRATCH_LIMIT_EXCEEDED", 90, "Scratch space limit of $0 bytes exceeded for query "
"while spilling data to disk on backend $1."),
("BUFFER_ALLOCATION_FAILED", 91, "Unexpected error allocating $0 byte buffer: $1"),
("PARQUET_ZERO_ROWS_IN_NON_EMPTY_FILE", 92, "File '$0' is corrupt: metadata indicates "
"a zero row count but there is at least one non-empty row group."),
("NO_REGISTERED_BACKENDS", 93, "Cannot schedule query: no registered backends "
"available."),
("KUDU_KEY_ALREADY_PRESENT", 94, "Key already present in Kudu table '$0'."),
("KUDU_NOT_FOUND", 95, "Not found in Kudu table '$0': $1"),
("KUDU_SESSION_ERROR", 96, "Error in Kudu table '$0': $1"),
("AVRO_UNSUPPORTED_TYPE", 97, "Column '$0': unsupported Avro type '$1'"),
("AVRO_INVALID_DECIMAL", 98,
"Column '$0': invalid Avro decimal type with precision = '$1' scale = '$2'"),
("KUDU_NULL_CONSTRAINT_VIOLATION", 99,
"Row with null value violates nullability constraint on table '$0'."),
("PARQUET_TIMESTAMP_OUT_OF_RANGE", 100,
"Parquet file '$0' column '$1' contains an out of range timestamp. "
"The valid date range is 1400-01-01..9999-12-31."),
# TODO: IMPALA-4697: the merged errors do not show up in the query error log,
# so we must point users to the impalad error log.
("SCRATCH_ALLOCATION_FAILED", 101, "Could not create files in any configured scratch "
"directories (--scratch_dirs=$0) on backend '$1'. $2 of scratch is currently in "
"use by this Impala Daemon ($3 by this query). See logs for previous errors that "
"may have prevented creating or writing scratch files. The following directories "
"were at capacity: $4"),
("SCRATCH_READ_TRUNCATED", 102, "Error reading $0 bytes from scratch file '$1' "
"on backend $2 at offset $3: could only read $4 bytes"),
("KUDU_TIMESTAMP_OUT_OF_RANGE", 103,
"Kudu table '$0' column '$1' contains an out of range timestamp. "
"The valid date range is 1400-01-01..9999-12-31."),
("MAX_ROW_SIZE", 104, "Row of size $0 could not be materialized by $1. Increase the "
"max_row_size query option (currently $2) to process larger rows."),
("IR_VERIFY_FAILED", 105,
"Failed to verify generated IR function $0, see log for more details."),
("MINIMUM_RESERVATION_UNAVAILABLE", 106, "Failed to get minimum memory reservation of "
"$0 on daemon $1:$2 for query $3 due to following error: $4Memory is likely "
"oversubscribed. Reducing query concurrency or configuring admission control may "
"help avoid this error."),
("ADMISSION_REJECTED", 107, "Rejected query from pool $0: $1"),
("ADMISSION_TIMED_OUT", 108, "Admission for query exceeded timeout $0ms in pool $1. "
"Queued reason: $2"),
("THREAD_CREATION_FAILED", 109, "Failed to create thread $0 in category $1: $2"),
("DISK_IO_ERROR", 110, "Disk I/O error on $0: $1"),
("DATASTREAM_RECVR_CLOSED", 111,
"DataStreamRecvr for fragment=$0, node=$1 is closed already"),
("BAD_PRINCIPAL_FORMAT", 112,
"Kerberos principal should be of the form: <service>/<hostname>@<realm> - got: $0"),
("LZ4_COMPRESSION_INPUT_TOO_LARGE", 113,
"The input size is too large for LZ4 compression: $0"),
("SASL_APP_NAME_MISMATCH", 114,
"InitAuth() called multiple times with different names. Was called with $0. "
"Now using $1."),
("PARQUET_BIT_PACKED_LEVELS", 115,
"Can not read Parquet file $0 with deprecated BIT_PACKED encoding for rep or "
"def levels. Support was removed in Impala 3.0 - see IMPALA-6077."),
("ROW_BATCH_TOO_LARGE", 116,
"Row batch cannot be serialized: size of $0 bytes exceeds supported limit of $1"),
("LIB_VERSION_MISMATCH", 117,
"The library $0 last modified time $1 does not match the expected last "
"modified time $2. Run 'refresh functions <db name>'."),
("SCRATCH_READ_VERIFY_FAILED", 118, "Error reading $0 bytes from scratch file '$1' "
"on backend $2 at offset $3: verification of read data failed."),
("CANCELLED_INTERNALLY", 119, "Cancelled in $0"),
("SERVER_SHUTTING_DOWN", 120, "Server is being shut down: $0."),
("PARQUET_TIMESTAMP_INVALID_TIME_OF_DAY", 121,
"Parquet file '$0' column '$1' contains a timestamp with invalid time of day. "
"The time of day should be 0 <= and < 24 hour (in nanoseconds)."),
("PARQUET_CORRUPT_BOOL_VALUE", 122, "File '$0' is corrupt: error decoding BOOLEAN "
"value with encoding $1 at offset $2"),
("THREAD_POOL_SUBMIT_FAILED", 123,
"Failed to submit $0 to thread pool after waiting $1 seconds"),
("THREAD_POOL_TASK_TIMED_OUT", 124,
"$0 failed to finish before the $1 second timeout"),
("UNREACHABLE_IMPALADS", 125, "Failed due to unreachable impalad(s): $0"),
("INACTIVE_SESSION_EXPIRED", 126, "Session expired due to inactivity"),
("INACTIVE_QUERY_EXPIRED", 127,
"Query $0 expired due to client inactivity (timeout is $1)"),
("EXEC_TIME_LIMIT_EXCEEDED", 128, "Query $0 expired due to execution time limit of $1"),
("CPU_LIMIT_EXCEEDED", 129, "Query $0 terminated due to CPU limit of $1"),
("SCAN_BYTES_LIMIT_EXCEEDED", 130, "Query $0 terminated due to scan bytes limit of $1"),
("ROWS_PRODUCED_LIMIT_EXCEEDED", 131,
"Query $0 terminated due to rows produced limit of $1. "
"Unset or increase NUM_ROWS_PRODUCED_LIMIT query option to produce more rows."),
("EXPR_REWRITE_RESULT_LIMIT_EXCEEDED", 132,
"Expression rewrite rejected due to result size ($0) exceeding the limit ($1)."),
("UNRESPONSIVE_BACKEND", 133,
"Query $0 cancelled due to unresponsive backend: $1 has not sent a report in $2ms "
"(max allowed lag is $3ms)"),
("PARQUET_DATE_OUT_OF_RANGE", 134,
"Parquet file '$0' column '$1' contains an out of range date. "
"The valid date range is 0001-01-01..9999-12-31."),
("DISCONNECTED_SESSION_CLOSED", 135,
"Session closed because it has no active connections"),
("UNAUTHORIZED_SESSION_USER", 136,
"The user authorized on the connection '$0' does not match the session username '$1'"),
("ZSTD_ERROR", 137, "$0 failed with error: $1"),
("LZ4_BLOCK_DECOMPRESS_DECOMPRESS_SIZE_INCORRECT", 138,
"LZ4Block: Decompressed size is not correct."),
("LZ4_BLOCK_DECOMPRESS_INVALID_INPUT_LENGTH", 139,
"LZ4Block: Invalid input length."),
("LZ4_BLOCK_DECOMPRESS_INVALID_COMPRESSED_LENGTH", 140,
"LZ4Block: Invalid compressed length. Data is likely corrupt."),
("LZ4_DECOMPRESS_SAFE_FAILED", 141, "LZ4: LZ4_decompress_safe failed"),
("LZ4_COMPRESS_DEFAULT_FAILED", 142, "LZ4: LZ4_compress_default failed"),
("MAX_STATEMENT_LENGTH_EXCEEDED", 143, "Statement length of $0 bytes exceeds the "
"maximum statement length ($1 bytes)"),
("AVRO_INVALID_DATE", 144, "Avro file '$0' is corrupt: out of range date value $1 "
"at offset $2. The valid date range is -719162..2932896 (0001-01-01..9999-12-31)."),
("ORC_TIMESTAMP_OUT_OF_RANGE", 145,
"ORC file '$0' column '$1' contains an out of range timestamp. "
"The valid date range is 1400-01-01..9999-12-31."),
("ORC_DATE_OUT_OF_RANGE", 146,
"ORC file '$0' column '$1' contains an out of range date. "
"The valid date range is 0001-01-01..9999-12-31."),
("ORC_NESTED_TYPE_MISMATCH", 147,
"File '$0' has an incompatible ORC schema for column '$1', "
"Column type: $2, ORC schema: $3"),
("ORC_TYPE_NOT_ROOT_AT_STRUCT", 148,
"Root of the $0 type returned by the ORC lib is not STRUCT: $1. "
"Either there are bugs in the ORC lib or ORC file '$2' is corrupt."),
("NAAJ_OUT_OF_MEMORY", 149,
"Unable to perform Null-Aware Anti-Join. Could not get enough reservation to fit "
"all rows with NULLs from the build side in memory. Memory required for $0 rows "
"was $1. $2/$3 of the join's reservation was available for the rows."),
)
import sys
import os
# Verifies the uniqueness of the error constants and numeric error codes.
# Numeric codes must start from 0, be in order and have no gaps
def check_duplicates(codes):
constants = {}
next_num_code = 0
for row in codes:
if row[0] in constants:
print("Constant %s already used, please check definition of '%s'!" % \
(row[0], constants[row[0]]))
exit(1)
if row[1] != next_num_code:
print("Numeric error codes must start from 0, be in order, and not have any gaps: "
"got %d, expected %d" % (row[1], next_num_code))
exit(1)
next_num_code += 1
constants[row[0]] = row[2]
preamble = """
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
//
//
// THIS FILE IS AUTO GENERATED BY generate_error_codes.py DO NOT MODIFY
// IT BY HAND.
//
namespace cpp impala
namespace java org.apache.impala.thrift
"""
# The script will always generate the file, CMake will take care of running it only if
# necessary.
target_file = "ErrorCodes.thrift"
# Check uniqueness of error constants and numeric codes
check_duplicates(error_codes)
fid = open(target_file, "w+")
try:
fid.write(preamble)
fid.write("""\nenum TErrorCode {\n""")
fid.write(",\n".join(map(lambda x: " %s = %d" % (x[0], x[1]), error_codes)))
fid.write("\n}")
fid.write("\n")
fid.write("const list<string> TErrorMessage = [\n")
fid.write(",\n".join(map(lambda x: " // %s\n \"%s\"" %(x[0], x[2]), error_codes)))
fid.write("\n]")
finally:
fid.close()
print("%s created." % target_file)
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