mirror of
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synced 2025-12-19 18:12:08 -05:00
5803a0b074
Before this change: Hive adjusts timestamps by subtracting the local time zone's offset from all values when writing data to Parquet files. Hive is internally inconsistent because it behaves differently for other file formats. As a result of this adjustment, Impala may read "incorrect" timestamp values from Parquet files written by Hive. After this change: Impala reads Parquet MR timestamp data and adjusts values using a time zone from a table property (parquet.mr.int96.write.zone), if set, and will not adjust it if the property is absent. No adjustment will be applied to data written by Impala. New HDFS tables created by Impala using CREATE TABLE and CREATE TABLE LIKE <file> will set the table property to UTC if the global flag --set_parquet_mr_int96_write_zone_to_utc_on_new_tables is set to true. HDFS tables created by Impala using CREATE TABLE LIKE <other table> will copy the property of the table that is copied. This change also affects the way Impala deals with --convert_legacy_hive_parquet_utc_timestamps global flag (introduced in IMPALA-1658). The flag will be taken into account only if parquet.mr.int96.write.zone table property is not set and ignored otherwise. Change-Id: I3f24525ef45a2814f476bdee76655b30081079d6 Reviewed-on: http://gerrit.cloudera.org:8080/5939 Reviewed-by: Dan Hecht <dhecht@cloudera.com> Tested-by: Impala Public Jenkins
391 lines
15 KiB
Python
Executable File
391 lines
15 KiB
Python
Executable File
#!/usr/bin/env python
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#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# For readability purposes we define the error codes and messages at the top of the
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# file. New codes and messages must be added here. Old error messages MUST NEVER BE
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# DELETED, but can be renamed. The tuple layout for a new entry is: error code enum name,
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# numeric error code, format string of the message.
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#
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# TODO Add support for SQL Error Codes
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# https://msdn.microsoft.com/en-us/library/ms714687%28v=vs.85%29.aspx
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error_codes = (
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("OK", 0, ""),
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("UNUSED", 1, "<UNUSED>"),
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("GENERAL", 2, "$0"),
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("CANCELLED", 3, "$0"),
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("ANALYSIS_ERROR", 4, "$0"),
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("NOT_IMPLEMENTED_ERROR", 5, "$0"),
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("RUNTIME_ERROR", 6, "$0"),
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("MEM_LIMIT_EXCEEDED", 7, "$0"),
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("INTERNAL_ERROR", 8, "$0"),
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("RECOVERABLE_ERROR", 9, "$0"),
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("PARQUET_MULTIPLE_BLOCKS", 10,
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"Parquet files should not be split into multiple hdfs-blocks. file=$0"),
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("PARQUET_COLUMN_METADATA_INVALID", 11,
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"Column metadata states there are $0 values, but read $1 values from column $2. "
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"file=$3"),
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("PARQUET_HEADER_PAGE_SIZE_EXCEEDED", 12, "(unused)"),
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("PARQUET_HEADER_EOF", 13,
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"ParquetScanner: reached EOF while deserializing data page header. file=$0"),
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("PARQUET_GROUP_ROW_COUNT_ERROR", 14,
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"Metadata states that in group $0($1) there are $2 rows, but $3 rows were read."),
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("PARQUET_GROUP_ROW_COUNT_OVERFLOW", 15, "(unused)"),
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("PARQUET_MISSING_PRECISION", 16,
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"File '$0' column '$1' does not have the decimal precision set."),
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("PARQUET_WRONG_PRECISION", 17,
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"File '$0' column '$1' has a precision that does not match the table metadata "
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" precision. File metadata precision: $2, table metadata precision: $3."),
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("PARQUET_BAD_CONVERTED_TYPE", 18,
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"File '$0' column '$1' does not have converted type set to DECIMAL"),
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("PARQUET_INCOMPATIBLE_DECIMAL", 19,
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"File '$0' column '$1' contains decimal data but the table metadata has type $2"),
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("SEQUENCE_SCANNER_PARSE_ERROR", 20,
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"Problem parsing file $0 at $1$2"),
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("SNAPPY_DECOMPRESS_INVALID_BLOCK_SIZE", 21,
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"Decompressor: block size is too big. Data is likely corrupt. Size: $0"),
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("SNAPPY_DECOMPRESS_INVALID_COMPRESSED_LENGTH", 22,
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"Decompressor: invalid compressed length. Data is likely corrupt."),
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("SNAPPY_DECOMPRESS_UNCOMPRESSED_LENGTH_FAILED", 23,
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"Snappy: GetUncompressedLength failed"),
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("SNAPPY_DECOMPRESS_RAW_UNCOMPRESS_FAILED", 24,
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"SnappyBlock: RawUncompress failed"),
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("SNAPPY_DECOMPRESS_DECOMPRESS_SIZE_INCORRECT", 25,
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"Snappy: Decompressed size is not correct."),
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("FRAGMENT_EXECUTOR", 26, "Reserved resource size ($0) is larger than "
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"query mem limit ($1), and will be restricted to $1. Configure the reservation "
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"size by setting RM_INITIAL_MEM."),
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("PARTITIONED_HASH_JOIN_MAX_PARTITION_DEPTH", 27,
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"Cannot perform join at hash join node with id $0."
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" The input data was partitioned the maximum number of $1 times."
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" This could mean there is significant skew in the data or the memory limit is"
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" set too low."),
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("PARTITIONED_AGG_MAX_PARTITION_DEPTH", 28,
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"Cannot perform aggregation at hash aggregation node with id $0."
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" The input data was partitioned the maximum number of $1 times."
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" This could mean there is significant skew in the data or the memory limit is"
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" set too low."),
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("MISSING_BUILTIN", 29, "Builtin '$0' with symbol '$1' does not exist. "
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"Verify that all your impalads are the same version."),
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("RPC_GENERAL_ERROR", 30, "RPC Error: $0"),
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("RPC_RECV_TIMEOUT", 31, "RPC recv timed out: $0"),
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("UDF_VERIFY_FAILED", 32,
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"Failed to verify function $0 from LLVM module $1, see log for more details."),
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("PARQUET_CORRUPT_RLE_BYTES", 33, "File $0 corrupt. RLE level data bytes = $1"),
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("AVRO_DECIMAL_RESOLUTION_ERROR", 34, "Column '$0' has conflicting Avro decimal types. "
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"Table schema $1: $2, file schema $1: $3"),
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("AVRO_DECIMAL_METADATA_MISMATCH", 35, "Column '$0' has conflicting Avro decimal types. "
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"Declared $1: $2, $1 in table's Avro schema: $3"),
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("AVRO_SCHEMA_RESOLUTION_ERROR", 36, "Unresolvable types for column '$0': "
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"table type: $1, file type: $2"),
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("AVRO_SCHEMA_METADATA_MISMATCH", 37, "Unresolvable types for column '$0': "
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"declared column type: $1, table's Avro schema type: $2"),
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("AVRO_UNSUPPORTED_DEFAULT_VALUE", 38, "Field $0 is missing from file and default "
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"values of type $1 are not yet supported."),
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("AVRO_MISSING_FIELD", 39, "Inconsistent table metadata. Mismatch between column "
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"definition and Avro schema: cannot read field $0 because there are only $1 fields."),
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("AVRO_MISSING_DEFAULT", 40,
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"Field $0 is missing from file and does not have a default value."),
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("AVRO_NULLABILITY_MISMATCH", 41,
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"Field $0 is nullable in the file schema but not the table schema."),
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("AVRO_NOT_A_RECORD", 42,
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"Inconsistent table metadata. Field $0 is not a record in the Avro schema."),
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("PARQUET_DEF_LEVEL_ERROR", 43, "Could not read definition level, even though metadata"
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" states there are $0 values remaining in data page. file=$1"),
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("PARQUET_NUM_COL_VALS_ERROR", 44, "Mismatched number of values in column index $0 "
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"($1 vs. $2). file=$3"),
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("PARQUET_DICT_DECODE_FAILURE", 45, "File '$0' is corrupt: error decoding "
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"dictionary-encoded value of type $1 at offset $2"),
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("SSL_PASSWORD_CMD_FAILED", 46,
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"SSL private-key password command ('$0') failed with error: $1"),
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("SSL_CERTIFICATE_PATH_BLANK", 47, "The SSL certificate path is blank"),
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("SSL_PRIVATE_KEY_PATH_BLANK", 48, "The SSL private key path is blank"),
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("SSL_CERTIFICATE_NOT_FOUND", 49, "The SSL certificate file does not exist at path $0"),
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("SSL_PRIVATE_KEY_NOT_FOUND", 50, "The SSL private key file does not exist at path $0"),
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("SSL_SOCKET_CREATION_FAILED", 51, "SSL socket creation failed: $0"),
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("MEM_ALLOC_FAILED", 52, "Memory allocation of $0 bytes failed"),
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("PARQUET_REP_LEVEL_ERROR", 53, "Could not read repetition level, even though metadata"
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" states there are $0 values remaining in data page. file=$1"),
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("PARQUET_UNRECOGNIZED_SCHEMA", 54, "File '$0' has an incompatible Parquet schema for "
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"column '$1'. Column type: $2, Parquet schema:\\n$3"),
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("COLLECTION_ALLOC_FAILED", 55, "Failed to allocate $0 bytes for collection '$1'.\\n"
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"Current buffer size: $2 num tuples: $3."),
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("TMP_DEVICE_BLACKLISTED", 56,
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"Temporary device for directory $0 is blacklisted from a previous error and cannot "
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"be used."),
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("TMP_FILE_BLACKLISTED", 57,
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"Temporary file $0 is blacklisted from a previous error and cannot be expanded."),
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("RPC_CLIENT_CONNECT_FAILURE", 58,
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"RPC client failed to connect: $0"),
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("STALE_METADATA_FILE_TOO_SHORT", 59, "Metadata for file '$0' appears stale. "
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"Try running \\\"refresh $1\\\" to reload the file metadata."),
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("PARQUET_BAD_VERSION_NUMBER", 60, "File '$0' has an invalid version number: $1\\n"
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"This could be due to stale metadata. Try running \\\"refresh $2\\\"."),
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("SCANNER_INCOMPLETE_READ", 61, "Tried to read $0 bytes but could only read $1 bytes. "
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"This may indicate data file corruption. (file $2, byte offset: $3)"),
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("SCANNER_INVALID_READ", 62, "Invalid read of $0 bytes. This may indicate data file "
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"corruption. (file $1, byte offset: $2)"),
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("AVRO_BAD_VERSION_HEADER", 63, "File '$0' has an invalid version header: $1\\n"
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"Make sure the file is an Avro data file."),
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("UDF_MEM_LIMIT_EXCEEDED", 64, "$0's allocations exceeded memory limits."),
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("BTS_BLOCK_OVERFLOW", 65, "Cannot process row that is bigger than the IO size "
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"(row_size=$0, null_indicators_size=$1). To run this query, increase the IO size "
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"(--read_size option)."),
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("COMPRESSED_FILE_MULTIPLE_BLOCKS", 66,
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"For better performance, snappy-, gzip-, and bzip-compressed files "
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"should not be split into multiple HDFS blocks. file=$0 offset $1"),
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("COMPRESSED_FILE_BLOCK_CORRUPTED", 67,
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"$0 Data error, likely data corrupted in this block."),
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("COMPRESSED_FILE_DECOMPRESSOR_ERROR", 68, "$0 Decompressor error at $1, code=$2"),
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("COMPRESSED_FILE_DECOMPRESSOR_NO_PROGRESS", 69,
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"Decompression failed to make progress, but end of input is not reached. "
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"File appears corrupted. file=$0"),
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("COMPRESSED_FILE_TRUNCATED", 70,
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"Unexpected end of compressed file. File may be truncated. file=$0"),
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("DATASTREAM_SENDER_TIMEOUT", 71, "Sender timed out waiting for receiver fragment "
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"instance: $0"),
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("KUDU_IMPALA_TYPE_MISSING", 72, "Kudu type $0 is not available in Impala."),
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("IMPALA_KUDU_TYPE_MISSING", 73, "Impala type $0 is not available in Kudu."),
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("KUDU_NOT_SUPPORTED_ON_OS", 74, "Kudu is not supported on this operating system."),
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("KUDU_NOT_ENABLED", 75, "Kudu features are disabled by the startup flag "
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"--disable_kudu."),
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("PARTITIONED_HASH_JOIN_REPARTITION_FAILS", 76, "Cannot perform hash join at node with "
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"id $0. Repartitioning did not reduce the size of a spilled partition. Repartitioning "
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"level $1. Number of rows $2."),
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("PARTITIONED_AGG_REPARTITION_FAILS", 77, "Cannot perform aggregation at node with "
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"id $0. Repartitioning did not reduce the size of a spilled partition. Repartitioning "
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"level $1. Number of rows $2."),
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("AVRO_TRUNCATED_BLOCK", 78, "File '$0' is corrupt: truncated data block at offset $1"),
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("AVRO_INVALID_UNION", 79, "File '$0' is corrupt: invalid union value $1 at offset $2"),
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("AVRO_INVALID_BOOLEAN", 80, "File '$0' is corrupt: invalid boolean value $1 at offset "
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"$2"),
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("AVRO_INVALID_LENGTH", 81, "File '$0' is corrupt: invalid length $1 at offset $2"),
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("SCANNER_INVALID_INT", 82, "File '$0' is corrupt: invalid encoded integer at offset $1"),
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("AVRO_INVALID_RECORD_COUNT", 83, "File '$0' is corrupt: invalid record count $1 at "
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"offset $2"),
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("AVRO_INVALID_COMPRESSED_SIZE", 84, "File '$0' is corrupt: invalid compressed block "
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"size $1 at offset $2"),
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("AVRO_INVALID_METADATA_COUNT", 85, "File '$0' is corrupt: invalid metadata count $1 "
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"at offset $2"),
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("SCANNER_STRING_LENGTH_OVERFLOW", 86, "File '$0' could not be read: string $1 was "
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"longer than supported limit of $2 bytes at offset $3"),
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("PARQUET_CORRUPT_PLAIN_VALUE", 87, "File '$0' is corrupt: error decoding value of type "
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"$1 at offset $2"),
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("PARQUET_CORRUPT_DICTIONARY", 88, "File '$0' is corrupt: error reading dictionary for "
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"data of type $1: $2"),
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("TEXT_PARSER_TRUNCATED_COLUMN", 89, "Length of column is $0 which exceeds maximum "
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"supported length of 2147483647 bytes."),
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("SCRATCH_LIMIT_EXCEEDED", 90, "Scratch space limit of $0 bytes exceeded for query "
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"while spilling data to disk."),
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("BUFFER_ALLOCATION_FAILED", 91, "Unexpected error allocating $0 byte buffer: $1"),
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("PARQUET_ZERO_ROWS_IN_NON_EMPTY_FILE", 92, "File '$0' is corrupt: metadata indicates "
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"a zero row count but there is at least one non-empty row group."),
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("NO_REGISTERED_BACKENDS", 93, "Cannot schedule query: no registered backends "
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"available."),
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("KUDU_KEY_ALREADY_PRESENT", 94, "Key already present in Kudu table '$0'."),
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("KUDU_NOT_FOUND", 95, "Not found in Kudu table '$0': $1"),
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("KUDU_SESSION_ERROR", 96, "Error in Kudu table '$0': $1"),
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("AVRO_UNSUPPORTED_TYPE", 97, "Column '$0': unsupported Avro type '$1'"),
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("AVRO_INVALID_DECIMAL", 98,
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"Column '$0': invalid Avro decimal type with precision = '$1' scale = '$2'"),
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("KUDU_NULL_CONSTRAINT_VIOLATION", 99,
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"Row with null value violates nullability constraint on table '$0'."),
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("PARQUET_TIMESTAMP_OUT_OF_RANGE", 100,
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"Parquet file '$0' column '$1' contains an out of range timestamp. "
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"The valid date range is 1400-01-01..9999-12-31."),
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# TODO: IMPALA-4697: the merged errors do not show up in the query error log,
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# so we must point users to the impalad error log.
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("SCRATCH_ALLOCATION_FAILED", 101, "Could not create files in any configured scratch "
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"directories (--scratch_dirs). See logs for previous errors that may have prevented "
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"creating or writing scratch files."),
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("SCRATCH_READ_TRUNCATED", 102, "Error reading $0 bytes from scratch file '$1' at "
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"offset $2: could only read $3 bytes"),
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("PARQUET_MR_TIMESTAMP_CONVERSION_FAILED", 103, "Failed to convert timestamp '$0' to "
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"timezone '$1' for a Parquet file in table '$2'."),
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)
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import sys
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import os
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# Verifies the uniqueness of the error constants and numeric error codes.
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# Numeric codes must start from 0, be in order and have no gaps
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def check_duplicates(codes):
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constants = {}
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next_num_code = 0
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for row in codes:
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if row[0] in constants:
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print("Constant %s already used, please check definition of '%s'!" % \
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(row[0], constants[row[0]]))
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exit(1)
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if row[1] != next_num_code:
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print("Numeric error codes must start from 0, be in order, and not have any gaps: "
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"got %d, expected %d" % (row[1], next_num_code))
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exit(1)
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next_num_code += 1
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constants[row[0]] = row[2]
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preamble = """
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// Licensed to the Apache Software Foundation (ASF) under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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//
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//
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// THIS FILE IS AUTO GENERATED BY generate_error_codes.py DO NOT MODIFY
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// IT BY HAND.
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//
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namespace cpp impala
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namespace java org.apache.impala.thrift
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"""
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# The script will always generate the file, CMake will take care of running it only if
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# necessary.
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target_file = "ErrorCodes.thrift"
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# Check uniqueness of error constants and numeric codes
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check_duplicates(error_codes)
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fid = open(target_file, "w+")
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try:
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fid.write(preamble)
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fid.write("""\nenum TErrorCode {\n""")
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fid.write(",\n".join(map(lambda x: " %s = %d" % (x[0], x[1]), error_codes)))
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fid.write("\n}")
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fid.write("\n")
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fid.write("const list<string> TErrorMessage = [\n")
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fid.write(",\n".join(map(lambda x: " // %s\n \"%s\"" %(x[0], x[2]), error_codes)))
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fid.write("\n]")
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finally:
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fid.close()
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print("%s created." % target_file)
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